Вакансии

Location: USA Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. Position Summary Up to 6 months temporary assignment with HR Compensation team as a Senior Sales Compensation Analyst working remotely. The Senior Sales Compensation Analyst will play a key role in the administration, analysis, and ongoing enhancement of the company’s sales incentive compensation programs. This position will partner closely with Compensation, Sales, HR, Payroll, and business leadership to ensure sales incentive plans are administered accurately, efficiently, and in alignment with business objectives. In addition to strong sales compensation administration and analytical capabilities, this role will focus on process improvement, automation, and technology enablement. The ideal candidate will have experience working with sales compensation, sales administration, CRM, or related platforms and will help automate manual processes, improve system integrations, strengthen controls, and create a scalable sales compensation administration environment. Key Responsibilities Sales Compensation Administration Support end-to-end administration of sales incentive compensation programs, including plan setup, participant eligibility, target incentives, KPI and measure configuration, performance calculations, payout processing, and reconciliation. Perform quarterly, semiannual, annual, and other periodic sales incentive calculations and validate results prior to payment. Review sales performance and compensation data for accuracy, completeness, and consistency across source systems. Research and resolve sales compensation questions, calculation discrepancies, data issues, and employee or management inquiries. Support administration of plan changes, new hires, transfers, promotions, terminations, leaves of absence, guarantees, adjustments, and other employee events affecting incentive compensation. Prepare and distribute incentive statements, reports, payout files, and management review materials. Maintain documentation of plan rules, calculation methodologies, business processes, and administrative procedures. Support plan audits and maintain appropriate controls to ensure incentive payments are accurate and consistent with approved plan provisions. Systems Platform Integration and Automation Serve as a key functional resource for sales compensation technology and administration platforms. Support the implementation, configuration, testing, integration, and ongoing optimization of sales incentive compensation or related sales administration platforms. Partner with HRIS, IT, Sales Operations, Finance, and Payroll to integrate data across CRM, HRIS and HCM, payroll, ERP, sales performance management, and incentive compensation platforms. Identify manual, repetitive, or high-risk administrative processes and develop automated or technology-enabled solutions. Develop and maintain automated workflows, calculation tools, reporting solutions, data validation routines, and reconciliation processes. Assist with requirements gathering, process mapping, data mapping, system configuration, user acceptance testing (UAT), parallel testing, implementation, and post-launch support for new systems or enhancements. Evaluate existing processes and recommend opportunities to simplify administration, reduce manual intervention, improve data quality, and increase scalability. Develop controls and exception reporting to proactively identify data, calculation, or integration issues. Help transition spreadsheet-based or manually intensive processes into sustainable automated solutions where appropriate. Analytics and Reporting Analyze incentive compensation results, attainment, payout trends, plan effectiveness, and cost. Develop recurring dashboards and reporting for Compensation, Sales, Finance, and business leadership. Perform data reconciliations across sales, financial, HR, and payroll systems. Conduct ad hoc analyses related to sales performance, incentive design, payout modeling, and plan changes. Identify trends, anomalies, and potential risks within sales compensation data and communicate findings to stakeholders. Support modeling and testing of proposed incentive plan changes and payout scenarios. Cross Functional Partnership Partner with Sales Operations, HR, Payroll, HRIS, IT, and business leaders to ensure incentive programs are administered effectively. Translate business requirements and incentive plan provisions into clear system and calculation requirements. Coordinate with technical teams and external vendors during platform implementations, enhancements, integrations, and troubleshooting. Provide guidance to managers and employees regarding incentive plan administration and calculation methodology. Support annual sales incentive plan design and implementation activities. Qualifications Required Bachelor’s degree in Human Resources, Finance, Business, Accounting, Information Systems, Analytics, or a related field. At least five years of experience in sales compensation, incentive compensation, sales operations, compensation analytics, or a related field. Hands-on experience administering sales incentive compensation programs with multiple performance measures and payout methodologies. Advanced Excel skills, including complex formulas, lookups, data validation, reconciliation, and large dataset analysis. Experience working with sales administration, incentive compensation, CRM, HRIS and HCM, ERP, or similar enterprise platforms. Demonstrated experience improving or automating administrative processes. Strong analytical skills and ability to reconcile data across multiple systems and identify root causes of discrepancies. Experience translating business requirements into system, reporting, or process requirements. Strong attention to detail and ability to manage time-sensitive compensation processes with a high degree of accuracy. Strong communication and stakeholder management skills across Compensation, Sales, Finance, HR, Payroll, and technology teams. Preferred Experience implementing, integrating, configuring, or supporting a Sales Performance Management (SPM) or Incentive Compensation Management (ICM) platform. Experience with platforms such as Varicent, Xactly, CaptivateIQ, Forma.ai, SAP SuccessFactors Incentive Management, Oracle Incentive Compensation, or similar solutions. Experience with CRM platforms such as Salesforce and HRIS, HCM, or payroll platforms such as UKG, Workday, SAP, or similar systems. Experience with workflow and automation technologies such as Power Automate, VBA and macros, SQL, Python, robotic process automation (RPA), or comparable solutions. Experience with reporting and visualization tools such as Power BI, Tableau, or similar platforms. Experience participating in system implementations, including requirements gathering, data mapping, UAT, parallel testing, implementation, and post-production support. Experience supporting complex sales organizations with multiple business units, sales channels, incentive plans, and performance measures. Key Competencies Sales Compensation Expertise: Understands incentive plan mechanics and translates plan provisions into accurate calculations and administration. Technology Mindset: Identifies opportunities to use systems and automation to improve recurring processes. Process Improvement: Assesses existing processes, identifies inefficiencies and control gaps, and designs scalable improvements. Analytical Problem Solving: Investigates discrepancies across multiple data sources and determines root causes. Controls and Accuracy: Understands the financial and employee impact of incentive compensation and builds appropriate validation and reconciliation controls. Cross Functional Collaboration: Works effectively across business, HR, Finance, Sales Operations, Payroll, and technology teams. Ownership: Independently manages recurring sales compensation processes while driving longer-term improvements. What Success Looks Like Success in this role means delivering accurate and timely sales incentive payments while continuously improving how those payments are administered. The Senior Sales Compensation Analyst will help move the organization toward an automated, integrated, controlled, and scalable sales compensation operating model while reducing reliance on manual calculations and administrative processes. #LI-DR1 Recruiting Range $90,000 — $120,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: São Paulo, Brazil Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client Our customer is a leading financial technology company in Brazil, operating at the intersection of Finance, Technology, and Data. The company leverages technology and data-driven solutions to build scalable financial operations and improve decision-making across the organization. What You’ll Do Partner with Finance teams to understand business processes, rules, requirements, and operational needs, translating them into scalable data solutions. Develop SQL queries, analyses, notebooks, dashboards, and automations to support Finance activities and decision-making. Build and maintain data pipelines, transformation processes, and validation routines, ensuring reliable and traceable data. Support critical Finance processes, including financial close, reconciliations, controls, and regulatory reporting. Investigate data inconsistencies, identify root causes, and implement solutions to improve data reliability and process efficiency. Implement data quality, monitoring, governance, and traceability controls. Document business rules, workflows, processes, and technical solutions to ensure knowledge is clearly maintained and shared. Collaborate closely with Finance, Engineering, Product, Data, Risk, and Audit teams. Manage priorities and drive deliveries end-to-end, from understanding the business need through implementation and continuous improvement. What You Bring Strong hands-on experience with SQL, combined with practical experience in data analysis, transformation, and validation. Knowledge of Python or another programming language, with the ability to develop analytical solutions and automate processes. Experience working with ETL/ELT pipelines, data integration, and data processing, as well as notebooks, dashboards, or BI tools. Strong ability to translate business rules and financial or operational requirements into technical logic and data solutions. Understanding of data quality, governance, security, and traceability principles. Familiarity with financial, accounting, or operational processes and the ability to collaborate effectively with both technical and business stakeholders. Strong analytical, problem-solving, communication, and stakeholder management skills. Nice to have Experience in Controllership, Accounting, FP&A, Tax, Treasury, or Regulatory Reporting. Knowledge of IFRS, financial close processes, and regulatory reporting. Experience with Databricks, Apache Spark, cloud platforms, APIs, or data lakes. Knowledge of ERP systems, general ledgers, or subledgers. Experience working in regulated and audit-driven environments. Familiarity with automated testing, CI/CD, and data pipeline monitoring. English level Intermediate/Upper-Intermediate Work Type: Hybrid Location: São Paulo, Brazil Legal & Hiring Information Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more Reasonable accommodations are available to enable individuals with disabilities to perform essential functions Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs Compensation details are shared with candidates at the early stage of the recruitment process. The offer is not binding until a signed contract is in place. Your Benefits at Exadel Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details. International projects In-office, hybrid, or remote flexibility Medical healthcare Recognition program Ongoing learning & reimbursement Well-being program Team events & local benefits Sports compensation Referral bonuses Top-tier equipment provision Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Type: Full Time Internship (June 1, 2027 - August 31, 2027) The Role Nex is looking for a curious, detail-oriented Content Operations Intern to support the day-to-day financial and operational activities of our Content team. Reporting to the Senior Content Operations Specialist , you will help organise and analyse operational data, track budgets and spending, maintain documentation, and support finance and operational risk management processes. This role is ideal for someone who enjoys working with data, investigating details, bringing structure to information, and finding better ways of working. You will work closely with Content, Finance, Legal, and other cross-functional teams while gaining practical exposure to game and content operations. What You Will Do Financial and operational support Support budget tracking, spending analysis, forecasting updates, and variance reporting. Help reconcile costs across games, projects, vendors, and expense categories. Review data and supporting documents to identify missing, inconsistent, or unusual information. Assist with preparing regular financial and operational reports for stakeholders. Follow up on outstanding information, invoices, approvals, and action items Data organisation and analysis Collect, clean, organise, and validate data from different sources. Drill into data to understand trends, discrepancies, and their underlying causes. Maintain spreadsheets, trackers, dashboards, and operational records. Prepare clear summaries and visualisations that help stakeholders understand the findings. Look for opportunities to simplify reporting and reduce repetitive manual work. Invoice, licensing and subscription administration Support the tracking of purchase requests, approvals, invoices, and payment status by project. Maintain accurate records of tools, licences, subscriptions, vendors, costs, renewal dates, and project allocations. Check that invoices and supporting documents are complete and correctly categorised. Assist with renewal reviews, usage checks, and identification of duplicate or underused subscriptions. Coordinate with internal stakeholders and vendors to collect required information and documentation. Finance and operational risk management Support routine finance controls, data-quality checks, and process-compliance reviews. Help identify operational risks, process gaps, overdue items, and control exceptions. Maintain risk, issue, and action trackers and follow up with relevant owners. Assist in documenting controls and gathering evidence for reviews. Escalate discrepancies or potential risks to the Senior Content Operations Specialist. Process improvement and documentation Document workflows and maintain SOPs, checklists, FAQs, and onboarding materials. Support improvements to intake, approval, tracking, and reporting processes. Help test new forms, trackers, dashboards, and automated workflows. Provide general coordination support across multiple Content Operations workstreams. Should Have Must be currently enrolled in an undergraduate or graduate degree program at an accredited college or university. Desired Majors: Finance, Accounting, Business, Economics, Data Analytics, Risk Management, or a related discipline. Strong interest in finance operations, operational risk, data analysis , or process improvement. Comfortable working with spreadsheets and willing to spend time organizing, checking, and drilling into detailed data . Analytical and curious, with a desire to understand not only what happened but also why. High attention to detail and a disciplined approach to accuracy and documentation. Able to manage multiple tasks, follow through on open items, and meet deadlines. Clear written and verbal communication skills. Proactive, dependable, and comfortable asking questions when information is unclear. Able to handle sensitive financial and commercial information responsibly . Comfortable operating in fast-paced, evolving environments; proactive and able to work autonomously. Nice To Have Familiarity with budgeting, invoice processing, reconciliations, or financial controls. Experience with Google Sheets or Microsoft Excel , including formulas, pivot tables, and charts. Exposure to dashboards or workflow tools such as Notion, Power BI, Tableau, or similar platforms. Interest in games , digital content, creative production, AI tools, or technology. Basic understanding of procurement, vendor management, licensing, or subscription services. What You Will Gain How financial and operational processes support game and content production. Practical budgeting, spending analysis, invoice tracking, and management reporting. How to identify and manage finance and operational risks. How licensing, subscriptions, vendors, and approval processes are managed. How to turn detailed operational data into useful insights. How to build scalable processes, controls, trackers, and dashboards in a fast-moving environment. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Ищется опытный специалист на позицию Senior BI Analyst/Developer для удаленной работы в международном проекте, связанном с компанией Caterpillar (США). Кандидат должен иметь высшее образование и значительный опыт в области аналитики и визуализации данных, включая не менее 7 лет работы с SQL и более 5 лет с Python, Power BI и DAX. Работа предполагает полный рабочий день с обязательным пересечением с командой из США в утренние часы по Чикаго (8:00–12:00). Минимальный срок контракта составляет 9 месяцев, отпуск предоставляется без оплаты. Формат сотрудничества — b2c, с оплатой до вычета налогов в диапазоне $5700–6600.

Location: Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent but informed. About the Role We're looking for a Senior Product Analyst to drive product decisions with data. You'll research how developers and companies discover, adopt and get value from Tavily and find the drivers behind them . You'll work as a thought partner to Product, R&D and leadership and shape what we build next and why. This is a senior, high-ownership role. You take a question from start to finish: you frame the problem, build the data you need, run the analysis or model, and come back with a clear recommendation. You are expected to understand the need and show people results they didn't even knew they wanted or needed and be an integrational part in decision making. You'll work closely with the analysts on the team and with Product, Engineering, Growth and GTM. What You'll Do • Own product analytics end-to-end: define, instrument and measure the product funnel, from first API call through activation, feature adoption, retention and conversion to paid. • Drive product decisions: work with PMs and R&D leads to set success metrics, size opportunities, prioritize the roadmap, and measure the impact of what we ship. • Uncover the drivers behind top-level KPIs: which behaviors, use cases, endpoints and product experiences predict activation, retention and expansion. • Design, run and evaluate experiments (A/B tests, onboarding flows, pricing and packaging changes) and apply advanced statistical models when needed. • Build the data you need: model raw product, usage and billing data into trusted, reusable datasets with SQL, dbt and Python and more. • Apply predictive and statistical modeling (segmentation, propensity, forecasting, classification and clustering) where it sharpens product decisions. • Proactively monitor key product metrics, investigate trends and anomalies, and surface insights stakeholders can act on. • Set the standard for how we measure product success: metric definitions, a shared source of truth and analytical rigor across teams. What We're Looking For • 5+ years of experience as a Product Analyst, Data Analyst or Data Scientist, including at least 2 years in a product-facing role. • 2+ years in a SaaS or tech product company, with deep understanding of funnels, cohorts, engagement, retention and monetization. • A proven record of driving product decisions through data: you've shaped roadmaps, launches or strategy, not just reported on them. • Comfort working with large, messy, event-level datasets. • Strong hands-on experience using Python for data analysis, experimentation and data modeling in a production environment. • Strong statistical foundations. • Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders, including executive leadership. • Strong communication: you can turn complex analysis into a clear, compelling story and a concrete recommendation. • Experience with modern data tooling (Snowflake/BigQuery, dbt, Airflow, and BI tools like Omni/Looker/Tableau). • BSc in Statistics / Math / CS / Industrial Engineering or equivalent. Nice to Have • Experience at an API-first, developer-focused or PLG company. • Hands-on experience building and deploying ML models. • Familiarity with LLMs / AI tooling, and using AI agents to speed up your own analytical work. • Evidence that you build things on your own: a GitHub profile, portfolio, side projects or publications. • MSc in Statistics / Math / CS or equivalent. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: — Создавать, автоматизировать и поддерживать ключевые маркетинговые отчёты и дашборды (FTDs, CAC, LTV, ROAS, эффективность кампаний) — Проводить глубокий анализ воронки и когорт клиентов для мониторинга удержания и поведения трейдеров — Связывать маркетинговую аналитику с коммерческими метриками (депозиты, объёмы торгов, NGR/GGR) для оценки прибыльности — Выявлять актуальные тренды и предоставлять рекомендации на основе данных для оптимизации рекламных бюджетов и коммерческих результатов Требования: — Опыт в маркетинговой аналитике и коммерческом анализе данных в сферах Forex, CFD брокеридж, FinTech или iGaming — Продвинутый уровень владения Excel / Google Sheets и BI-инструментами (Power BI, Tableau, Looker или Metabase) — Знание веб/мобильной аналитики и платформ атрибуции — Сильное коммерческое чутьё для перевода сложных данных в стратегические рекомендации — Проживание на Кипре (предпочтительно) или наличие разрешения на работу в Кипре Условия: — Полностью удалённая работа, предпочтение кандидатам из Кипра — Конкурентная и обсуждаемая оплата труда в зависимости от опыта

Обязанности: — Руководство отделом маркетинга: постановка задач, распределение нагрузки, контроль исполнения, KPI, развитие и обучение сотрудников. — Разработка и реализация маркетинговой стратегии и годового плана маркетинга, участие в бизнес-планировании. — Формирование, защита и контроль исполнения маркетингового бюджета. — Оценка эффективности (ROMI) маркетинговых мероприятий. — Создание и развитие продуктов: медицинские программы и пакетные предложения (чекапы, программы обследования, абонементы) — от идеи и экономики продукта до вывода на рынок и анализа результатов. — Маркетинговые исследования: анализ рынка и конкурентов, изучение потребностей и удовлетворённости пациентов, работа с обратной связью. — Операционный маркетинг: навигация и оформление клиник, POS- и полиграфические материалы, наружная и транзитная реклама, мероприятия, дни открытых дверей, выставки и конференции (со стороны управляющей компании с масштабами РФ). — Управление брендом: контроль соблюдения брендбука и единого стиля коммуникаций во всех подразделениях. — Программы лояльности и удержания пациентов, работа с клиентской базой. — Партнёрский маркетинг. — Взаимодействие с медицинскими подразделениями, коммерческой службой, филиалами и подрядчиками (агентства, типографии, дизайнеры). — Согласование материалов с юридической службой. — Подготовка аналитики, отчётов и презентаций для руководства. Требования: — Высшее образование (маркетинг, экономика, менеджмент). — Опыт работы в сфере здравоохранения (сеть клиник, многопрофильный медицинский центр, ДМС, фарма) — главное преимущество. — Опыт работы в крупной компании с филиальной сетью и многоуровневой системой согласований — преимущество. — Владение классическими инструментами маркетинга: исследования рынка, сегментация, позиционирование, комплекс маркетинга услуг (7P), SWOT/PEST-анализ, путь пациента (CJM). — Опыт разработки маркетинговой стратегии и годовых планов маркетинга. — Опыт создания и вывода на рынок новых продуктов/услуг, расчёт экономики и окупаемости продукта. — Навыки бюджетирования и оценки эффективности маркетинга (ROMI, стоимость привлечения пациента, LTV, конверсия). — Навыки управления командой и проектами, постановки целей и KPI. — Знание законодательства: 38-ФЗ «О рекламе» (в т.ч. требования к рекламе медицинских услуг), 323-ФЗ «Об основах охраны здоровья граждан в РФ», 152-ФЗ «О персональных данных». — Знание специфики рынка медицинских услуг (платные услуги, ДМС, корпоративные клиенты) — преимущество. — Навыки ведения переговоров, деловой переписки и публичных презентаций. — Уверенный пользователь MS Office: Excel (сводные таблицы, формулы, отчёты), PowerPoint (презентации для руководства), Word, Outlook. — Опыт работы с CRM-системами и медицинскими информационными системами (МИС) для анализа клиентской базы и потока пациентов. — Желательно знание инструментов аналитики и BI (Power BI, Yandex DataLens или аналоги). — Опыт работы с сервисами опросов и оценки удовлетворённости (Яндекс Формы, Анкетолог и аналоги). — Опыт работы с системами электронного документооборота (СЭД). — Умение ставить ТЗ дизайнерам и оценивать макеты (Figma, Adobe — на уровне понимания). Условия: — Декретная ставка. — Работа в крупнейшей медицинской сети России. — Полное соблюдение трудового законодательства РФ: официальная заработная плата, оплачиваемый отпуск, больничный. — Возможность профессионального развития. — График работы 5/2 с 9:00 до 18:00, пятница сокращённый день до 16:45.

Задачи: — Разработка и поддержка backend-сервисов на PHP/Laravel — Проектирование и внедрение микросервисной архитектуры — Работа с RabbitMQ и очередями сообщений — Создание и поддержка RESTful API — Написание и поддержка тестов с использованием PHPUnit или Pest — Оптимизация производительности и масштабирование приложений — Работа с базами данных и оптимизация SQL-запросов — Использование AI-инструментов в разработке и быстрое освоение новых технологий. Требования: — 2–3 года профессионального опыта с PHP/Laravel — Хорошее практическое знание Laravel 8+ — Понимание MVC, Service Providers и Middleware — Опыт работы с PostgreSQL или MySQL — Знание индексов, транзакций и оптимизации SQL-запросов — Опыт работы с Redis — Опыт работы с RabbitMQ — Опыт разработки и интеграции RESTful API — Docker / Docker Compose — Свободное владение узбекским языком — Английский язык — B1 и выше — Умение эффективно использовать AI-инструменты в работе. Будет преимуществом: — Symfony или Yii — GraphQL — OAuth / JWT — Memcached — JavaScript, Vue.js, TypeScript — DAX, M, Power BI Dashboards, Data Gateway и Cloud Reports. Условия: — Зарплата от $1000 — итоговая сумма обсуждается по результатам собеседования — Работа над реальными проектами и современными backend-системами — Использование AI-инструментов и современных подходов к разработке — Возможность профессионального роста и дальнейшего развития до Senior — Работа с современным стеком: Microservices, RabbitMQ, Redis, REST API и Docker — Сильная техническая среда и работа в команде профессиональных специалистов — Возможность самостоятельно предлагать и реализовывать технические решения — Официальное трудоустройство согласно Трудовому кодексу Республики Узбекистан — График 5/2, с 09:00 до 18:00 — Офис в Ташкенте, Мирзо-Улугбекский район, ул. Бинокор, 69 Этап собеседования: в процессе собеседования кандидату будут предложены несколько логических кейсов и простых математических задач.

Location: Worldwide About CENSUS CENSUS LABS is a cybersecurity engineering powerhouse specializing in building secure and resilient systems. Our work is research-driven and engineering-focused, enabling us to deliver bespoke development and custom solutions at the intersection of cybersecurity and emerging technologies. By addressing complex product challenges, we help our partners evolve their platforms across domains such as secure communications, IoT, AI -powered systems, and enterprise applications. Learn more at census-labs.com. ** VALID PASSPORT REQUIRED FOR SECURITY CLEARANCE PURPOSES** We are seeking a Front End Software Engineer to design and build production-grade user interfaces for next-generation cybersecurity and data-intensive platforms. This is a 6-month fixed-term position. You will work as part of a team alongside the client, without being required to work on-site at the client’s premises. The role is centered on translating design specifications into responsive, high-quality web applications, with emphasis on data-dense views, interactive dashboards, and workflows that make large and complex datasets understandable and actionable. As part of cross-functional teams, you will work closely with product designers, backend engineers, and data engineers to deliver custom UIs from input designs (mockups and prototypes). Our projects operate across the spectrum of frontend engineering, applied AI , and cybersecurity, where the interface is often the primary way users explore findings, prioritize risk, and drive decisions. As part of this role, you will help shape products that are usable, performant, and visually polished. Key Responsibilities UI Development & Design Implementation Translate design specifications and prototypes (e.g., Figma) into pixel-accurate, responsive web interfaces. Build reusable, well-structured components and maintain a consistent design system across the product. Implement data-dense views such as inventories, detail pages, and interactive dashboards. Ensure cross-browser compatibility, responsiveness, and accessibility across the application. Data Visualization & Interaction Build interactive tables, filters, and visualizations for large structured and semi-structured datasets. Integrate charting and visualization libraries (such as ECharts, D3, or Recharts) for analytics and reporting views. Apply techniques such as virtualization , pagination, and lazy loading to keep data-heavy views performant. Contribute to conversational and natural language query interfaces where AI -assisted features intersect with the UI. API Integration & State Management Integrate frontend applications with REST/GraphQL backends and streaming endpoints. Design predictable state management and data fetching, caching, and synchronization strategies. Handle loading, error, and empty states gracefully for a robust user experience. Quality & Performance Optimize rendering performance, bundle size, and load times across the application. Write unit, integration, and end-to-end tests for frontend components and user flows. Participate in code reviews and uphold maintainable, well-documented frontend code. Collaboration & Delivery Work closely with designers to refine UX and close the loop between design and implementation. Translate requirements from product and engineering teams into robust frontend solutions. Contribute to PoCs, demos, and integration pilots, and support knowledge transfer with internal and partner teams. Minimum Qualifications BSc/MSc in Computer Science , Software Engineering , or related field (or equivalent practical experience). 4+ years of experience in frontend or full-stack development, with a strong focus on the frontend. Strong proficiency in JavaScript and TypeScript, and modern HTML5 and CSS3. Hands-on experience with a modern component-based framework (React preferred; Vue or Angular also considered). Proven experience translating design mockups and prototypes into production-quality interfaces. Solid understanding of responsive design, cross-browser behavior, and web accessibility. Experience integrating with REST or GraphQL APIs and managing application state. Familiarity with modern frontend build tooling and version control with Git . Strong problem-solving, debugging, and communication skills. Proficient in English and excellent communication skills. Preferred / Nice-to-Have Skills Experience building data-dense interfaces, operational dashboards, or analytics tooling. Familiarity with data visualization libraries (D3, ECharts, Recharts) and large-table performance techniques. Experience with design systems and component libraries (e.g., Storybook). Exposure to BI / analytics platforms such as Superset, including embedding or extending their UIs. Experience building chat or conversational UIs for AI / LLM -powered features. Knowledge of security concepts or experience working on cybersecurity products. Familiarity with containerization ( Kubernetes ) and CI/CD workflows. Experience with testing frameworks (Jest, Playwright, Cypress) and frontend observability.

Требования: ▫️Data Platform: Microsoft Fabric (OneLake, Data Factory, Synapse Data Engineering / Data Warehouse) ▫️Data Engineering: Apache Spark / PySpark, Azure Data Factory, Dataflow Gen2, ETL/ELT ▫️Programming: Python, SQL / T-SQL ▫️Architecture & Storage: Lakehouse / DWH, Medallion Architecture (Bronze / Silver / Gold), Delta Lake / Parquet ▫️Cloud: Microsoft Azure, AWS S3 / GCP, Fabric Shortcuts ▫️DevOps: Git, Azure DevOps / GitHub Actions, Docker, CI/CD ▫️Data Analytics: Data Marts, relational data modeling, Power BI - буде преимуществом ▫️Английский: В2+ Основные задачи: ▫️Архитектура Lakehouse / DWH Проектирование и построение end-to-end архитектуры хранилища данных с нуля в среде Microsoft Fabric. Реализация многоуровневой архитектуры хранения данных по модели Medallion — Bronze, Silver, Gold — на основе Delta Lake (Parquet). ▫️Разработка ETL/ELT-пайплайнов Создание и поддержка надёжных и отказоустойчивых pipelines для интеграции данных с использованием Azure Data Factory и Dataflow Gen2. Настройка подключений к внешним облачным источникам AWS S3 / GCP через Fabric Shortcuts. ▫️Обработка больших данных Разработка и оптимизация высокопроизводительного распределённого кода на PySpark для очистки данных, сложных трансформаций и агрегации больших объёмов информации. ▫️Проектирование Data Marts и работа с T-SQL Проектирование реляционных моделей данных и аналитических представлений в Synapse Data Warehouse. Оптимизация сложных T-SQL-запросов для достижения минимальной задержки. ▫️Автоматизация и CI/CD Настройка процессов Continuous Integration и Continuous Deployment с использованием Azure DevOps / GitHub Actions для автоматизации развёртывания инфраструктуры DWH, схем и кода.

Location: Colombia The Credit Risk team is responsible for designing, implementing, and overseeing the company’s credit risk management framework, ensuring effective identification, assessment, monitoring, and mitigation of credit risk in alignment with the Colombian regulatory framework, financial sector best practices, and the company’s growth strategy. Challenges that await you: Monitor credit risk appetite by calculating and tracking key metrics such as NPL 30+/90+, cost of risk, coverage, credit-limit utilization, contingent exposure, concentration, and exceptions, escalating breaches and action plans when needed. Own monthly provisioning processes, including the Consumer Reference Model, K factor, contingent-limit provisions, alignment, and suspension of accruals, while assessing the impact of segment changes. Analyze credit performance and vintages by product and score band, monitoring delinquency, charge-offs, and observed vs. expected losses, and identifying the drivers behind material deterioration. Monitor early-warning indicators and credit limits, supporting the semi-annual reassessment of revolving credit limits. Support credit stress testing and capital adequacy analysis, connecting portfolio risk with the bank’s capital position. Prepare risk reporting for senior management, Risk Committees, and the Board, ensuring data quality and consistency between SFC regulatory reporting and provisioning data. What makes you a great fit: Bachelor’s degree in Economics, Industrial/Financial Engineering, Mathematics, Statistics, or a related field. +5 years of proven experience in consumer credit risk within an SFC-regulated financial institution. Strong knowledge of the CBF, SIAR, standard models, and credit provisioning regulations. Advanced SQL and Python or R, with strong Excel skills; Power BI or Looker is a plus. Strong analytical and problem-solving skills, with rigorous documentation and clear communication, particularly when presenting to senior stakeholders and committees. Our ways of working: Innovative Spirit: A commitment to creativity and groundbreaking solutions. Honest Feedback: valuing open, transparent communication. Supportive Team: a strong, collaborative community. Celebrating Achievements: recognizing our wins together. High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances.

Задачи: — построение ETL-процессов: разработка и настройка конвейеров по сбору и трансформации данных из различных источников; — работа с современным стеком трансформации: освоение и применение DBT для превращения «сырых» данных в чистые аналитические витрины; — оркестрация данных: настройка и поддержка рабочих процессов (pipelines) в Dagster для своевременного и безошибочного обновления данных в отчетах; — управление хранилищами: работа с Postgres и высокопроизводительной колончатой базой данных Clickhouse для обеспечения скорости работы отчетов; — визуализация смыслов: разработка интерактивных BI-отчетов в Apache Superset для поддержки бизнес-решений; — оптимизация выборок: анализ и ускорение тяжелых запросов для повышения производительности системы отчетности. Требования: — уверенное владение SQL (сложные выборки, агрегатные функции, оптимизация запросов); — понимание устройства реляционных баз данных, в частности PostgreSQL, и принципов построения аналитических хранилищ; — базовые знания Python, умение писать скрипты для обработки данных и автоматизации простых задач; — аналитический склад ума, способность работать с большими массивами данных, выявлять закономерности и структурировать информацию. Желательный опыт: — опыт создания дашбордов в BI-инструментах (Apache Superset, Tableau, Power BI или аналогичных); — понимание концепций ETL/ELT; — понимание архитектуры данных, разницы между OLTP и OLAP системами (например, использование Clickhouse для аналитики); — интерес к современным инструментам DBT и оркестраторам данных (Airflow, Dagster). Условия: — срочный трудовой договор на 3 месяца; — график 5/2, не более 30 часов в неделю; — возможна удалённая, офисная или гибридная работа; — стажировка доступна студентам любых ВУЗов и форм обучения, включая заочную и магистратуру.

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 17M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Director, Engineering Location: Remote US, Only Compensation: $165,000 to $190,000 base plus bonus and equity What You’ll Do: Huntress is building an Agentic SOC. When our detection pipeline raises a signal, an LLM-based agent picks it up and investigates it end-to-end. It gathers telemetry across our products, reconstructs what happened, and makes a well-documented determination about whether the activity is malicious. Over time, it will take on more of the work itself, growing from resolving routine cases to acting fast when it finds an attack and handing analysts cases with the evidence already assembled. This system is meant to augment our analysts, not replace them. It takes the high-volume, repetitive work off their plates so they can focus on complex cases and hands-on keyboard intrusions where human expertise matters most. It also reduces toil in the rest of their day by using LLMs to pre-process the output of the tools analysts use constantly, so they start from a clear picture instead of raw telemetry. This isn’t a chatbot bolted onto a dashboard. The system investigates a large volume of signals a day across thousands of customer organizations. Many signals are benign, but some are live intrusions where minutes matter. The telemetry the system reads comes from environments where attackers are actively operating. Because the system makes real decisions, like closing an investigation or isolating a host, it has to be right, it has to show its work, and it has to know when to hand off to a person. As a Senior Software Engineer on the Agentic SOC team, you’ll build and ship core parts of this system. You’ll work closely with the team’s technical leads, SOC analysts, product researchers, and product managers. You’ll own significant pieces end-to-end, from an ambiguous problem to a production feature you can show is working. We make full use of AI coding tools to enable you to accelerate your development. We don’t cap token usage. We expect you to use AI and all tools responsibly. Responsibilities: Build the investigation system. You design, build, and ship the components that make agentic investigation work: the tools agents use to query telemetry, the logic that drives an investigation, and the structured, evidence-backed output that analysts and customers see. Turn analyst expertise into agent behavior. You sit with SOC analysts and product researchers to understand how they triage and investigate a given kind of Signal, then encode that into what the agent looks for, what it gathers, and how it explains its conclusions. Take toil off analysts’ plates. You build LLM-powered features that pre-process the output of tools analysts use every day. They summarize, correlate, and highlight what matters, so analysts spend their time on judgment instead of assembly. Measure what you ship. You build and extend the evaluations that tell us whether the system is getting better or worse, and you back your changes with evidence rather than a handful of good-looking examples. Build with a security mindset. The agent reads attacker-influenced data, runs across thousands of customer tenants, and can take action in customer environments. You think about how what you build could be misused or manipulated, and you design for it. Build for production. You write reliable, observable, cost-conscious code that behaves well when models are slow, wrong, or unavailable. You operate what you build and help keep the system healthy as new detections and products come online. Collaborate and raise the bar. You give thoughtful code reviews, help teammates get unstuck, share what you learn about building with LLMs, and contribute to technical discussions and design reviews with clear reasoning about tradeoffs. Balance rigor with pragmatism. You know when to prototype quickly to learn something and when to slow down because the cost of being wrong is high. What You Bring To The Team: 6+ years of professional software development experience, including building and operating production backend systems Experience building applications with LLMs, including tool use, structured output, prompt and context design, and evaluation. Experience shipping agents to production is a strong plus An understanding of how LLM-based systems fail, and good habits for testing and debugging non-deterministic behavior Solid backend fundamentals, including APIs, background jobs and queues, concurrency, relational databases such as Postgres, and data stores such as Redis Strong skills in one or more backend languages and the ability to pick up new ones quickly. Our primary stack is Ruby on Rails. Prior Rails experience isn’t required, and we expect you to become fluent in it Security awareness: you think about untrusted input, access control, and keeping one customer’s data separate from another’s Curiosity about how security analysts think and work, and a willingness to spend real time learning from them Experience with AWS, Azure, or other public cloud environments Experience with AI coding tools, such as Claude Code BS or MS in Computer Science or Engineering, or equivalent experience Bonus Points: Experience working in or building for a SOC, incident response, threat hunting, or detection engineering. It isn’t required, but it helps a lot, because we build these workflows around how our analysts actually investigate Familiarity with endpoint, identity, and Microsoft 365 telemetry and with attacker tradecraft (e.g., MITRE ATT&CK) Experience building evaluation pipelines or datasets for ML or LLM systems Experience with Ruby on Rails What We Offer: 100% remote work environment - since our founding in 2015 Generous paid time off policy, including vacation, sick time, and paid holidays 12 weeks of paid parental leave Highly competitive and comprehensive medical, dental, and vision benefits plans 401(k) with a 5% contribution regardless of employee contribution Life and Disability insurance plans Stock options for all full-time employees One-time $500 reimbursement for building/upgrading home office Annual allowance for education and professional development assistance $75 USD/month digital reimbursement Access to the BetterUp platform for coaching, personal, and professional growth #BI-REMOTE Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Summary Delivers timely, high-quality people reporting and analysis, handling core tasks with limited direction. Owns recurring and ad hoc reporting, keeps People Analytics dashboards accurate and current, and prepares clean, compliant datasets for deeper analysis. Works in FBG's HRIS data environment (Snowflake and Oracle HCM) to catch data issues early and see them through to resolution. The work directly supports People team goals, partnering across the People team, IT, and the Data team. Key Responsibilities Reporting & Data Delivery Complete and track ad hoc and state/regulatory reporting requests, working independently on routine reporting and meeting agreed timelines. Pull and build reports in Oracle HCM (OTBI) to support People team requests Maintain a clear log of recurring reports, owners, and delivery cadence Complete analysis for People team metrics i.e. attrition, headcount trends, etc Dashboards & Self-Serve Tools Handle updates and maintenance for People Analytics dashboards, currently in Streamlit in Snowflake Take on more advanced dashboard development under guidance from the People Analytics and DSEA teams AI Enablement Use approved AI tools such as Claude to speed up everyday work, including drafting queries, documenting processes, and summarizing findings Explore new AI capabilities in Snowflake and the broader People tech stack, and share what you learn with the team Build automations and process improvements using available AI tools, with guidance from the larger AI enablement and People Analytics team Validate AI-generated output and follow FBG's AI use guidelines before sharing work Data Preparation, Quality & Privacy Prepare data for advanced analysis, including combining large datasets from multiple sources, cleaning and validating data Follow FBG's people data privacy and security standards, including state and international compliance Flag data discrepancies to People Analytics and People Operations, and track each issue through to resolution Team Contribution & Communication Share findings clearly and concisely with People team partners, including non-technical audiences Identify opportunities to improve reporting processes and share them with the team Support peers by sharing knowledge and helping stakeholders understand what the data shows Qualifications Required 3+ years of experience in an analytics role, ideally within a People team Proficiency with SQL and experience working in a cloud data warehouse such as Snowflake Experience with a data visualization tools (Streamlit, Sigma, Tableau, Power BI, or similar) Familiarity with team member lifecycle metrics such as headcount, attrition, hiring, internal mobility, and engagement Experience handling sensitive or confidential data with care and strong attention to detail Ability to clearly define routine and non-routine data problems and explore solutions Clear, concise communicator who can explain data to non-technical audiences Experience balancing multiple priorities in a fast-paced environment, in partnership with your manager Collaborative, proactive, and growth-minded Preferred Bachelor's degree in a relevant field such as Mathematics, Statistics, Engineering, Computer Science, or Industrial/Organizational Psychology, or equivalent work experience Experience with Python, R, or similar Working knowledge of basic statistical concepts Experience with HR systems such as Oracle HCM/OTBI, Greenhouse, Qualtrics, learning management systems (LMS), and performance management platforms Comfort using AI tools such as Claude to speed up analysis, documentation, or reporting workflows Familiarity with Git or version control Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $53,000 — $80,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Chicago DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. The Data Analyst – Business Intelligence role will join DRW’s Unified Platform (UP) Data Management team. UP systems are responsible for data that spans the trade lifecycle: from research, execution, through to post-trade. Our business operations generate substantial data each day. Our global footprint produces inquiries from stakeholders that require complex answers. Questions can span years of data, multiple data stores and a variety of financial domains. This is a reporting and analysis role at the intersection of finance, trading operations, and data engineering. The work is deadline-driven; your outputs go to regulatory authorities, external auditors, and firm leadership. What You'll Do Answer business questions with data Build and run extracts against the firm's data stores to answer requests from the front office, and other units like Tax and Legal Drive improvements to market share reporting and analytics Support quarterly and annual tax and regulatory inquiries across multiple global jurisdictions Respond to audit, litigation, and class-action data requests, often under short turnaround Make the numbers trustworthy Validate every extract before delivery — cross-foot detail against aggregates, reconcile against source systems, and investigate discrepancies rather than explaining them away Document the business rules behind each report, including who made the decision and why Reduce the recurring load Identify patterns across incoming requests Partner with engineering teams to translate those patterns into durable solutions: reporting dashboards, self-service views, scheduled reports Write the specification: define the business logic, the edge cases, and the validation criteria that a tool needs to get right What We're Looking For Required 5+ years in a data analysis, business intelligence, financial reporting, or analytics engineering role Advanced SQL — you are comfortable with complex multi-table joins, aggregation across different grains, CTEs, and reasoning about query performance. Python for data work — pandas, database connectivity, and building repeatable scripts rather than one-off notebooks Experience working with financial data: trades, positions, pricing, or reference data Demonstrated care with accuracy. Clear written communication — you'll be explaining methodology to accountants, lawyers, and auditors who don't read SQL Bachelor's degree in a quantitative or technical field Experience specifying requirements for engineering teams, or building BI tooling (Tableau, Power BI, or similar) Exposure to tax, VAT/GST, or regulatory reporting The annual base salary range for this position is $100,000 to $130,000 depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-KS1]

Location: Buenos Aires, Argentina Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. We're looking for a proactive, resourceful, and AI-forward Tech & Marketing Operations Specialist to manage our technology projects, keep our learning platforms running seamlessly, and power the marketing engine that brings students to them  This role suits someone with a broad technical fluency who thrives on coordination, troubleshooting, and hands-on building. You don't need to be a professional developer, but you do need to be comfortable using tech tools to design, prototype, and ship real solutions.  The position will be based at the Buenos Aires office with a hybrid work model. What You’ll Do Platform & Systems Management Tech project management: Manage technology-related projects end to end — defining requirements, building timelines, tracking progress, and identifying improvements that serve broader project goals. LMS management (WordPress & LearnDash): Own the day-to-day health of our WordPress-based LMS and LearnDash plugin — user administration, course administration, email flows, bulk imports, new features, configuration, and troubleshooting. CRM & Marketing Automation (Salesforce & Salesforce Marketing Cloud): Act as first point of contact for Salesforce and SFMC — build and test journeys, landing pages, and lead magnets; investigate and resolve issues the Operations team can't solve; escalate and follow up when needed. System integration: Serve as the architect making sure LMS, CRM, Marketing Cloud, and Power BI talk to each other correctly — designing and implementing the technical architecture for data flows between platforms, including low-code integrations. Data integrity & reporting: Review data integrity across LearnDash, Salesforce, and Power BI; execute queries and build reports/extracts for non-technical stakeholders; handle large-scale data reviews (including million-row datasets) when needed. Website support: Provide general technical support for the website and coordinate with relevant resources to resolve issues. Compliance & security: Help bring the LMS environment up to the organization's IT and security standards, acting as liaison between the Education team, developers/cloud providers, and Security/Legal/IT. Marketing Operations & Growth Campaign execution: Build, test, and launch email and lifecycle campaigns in Salesforce Marketing Cloud — segmentation, audience building, A/B tests, send scheduling, and deliverability hygiene. Landing pages & lead capture: Build and ship landing pages and forms based on designs provided by the internal design team; ensure correct lead routing into Salesforce, field mapping, deduplication, and follow-up automation. Tracking & attribution: Own the measurement layer — GA4, Google Tag Manager, conversion pixels, UTM taxonomy and enforcement — so that every campaign, source, and channel is measurable end to end. Lifecycle & retention automation: Design automated flows across the student lifecycle (onboarding, course progress nudges, re-engagement, certification, upsell) connecting LMS events to CRM and Marketing Cloud triggers. Martech stack & compliance: Own the marketing technology stack and its integrations; keep consent management, cookie compliance, and data handling aligned with privacy requirements and company policy. AI for marketing: Apply the same builder mindset to marketing — AI-assisted copy and creative variants, campaign localization at scale, automated performance summaries, and audience insight tooling. Technical Bridge & Coordination Stakeholder liaison: Serve as a primary point of contact between internal stakeholders (especially the development team) and business operations, translating business needs into functional technical specifications. Specification writing & QA: Write clear technical specs, replicate scenarios, and fully test in QA and production before rollout. Documentation: Keep the operations manual and technical documentation current and useful for the team. Cross-functional project leadership: Lead multi-month initiatives (e.g., new catalog builds, platform redesigns, global/language expansions, migrations) from scoping through to launch — defining KPIs, coordinating between design/development/vendors, and testing at every step. AI Development & Innovation AI builder mindset: Go beyond being “AI-savvy” — actively explore, prototype, and build AI-powered solutions that improve how the team works and how students learn (e.g., translation tools, automation of repetitive data tasks, AI-assisted reporting). Tool development: Design and build practical AI tools and workflows (e.g., custom Gemini/Claude “gems”/assistants, scripts, or low-code automations) to solve real operational bottlenecks — not just use off-the-shelf AI features. Exploration & evaluation: Stay current on emerging AI tools and platforms relevant to EdTech operations, and proactively propose where they could create value (efficiency, personalization, translation, content scaling, etc.). AI project ownership: Take end-to-end ownership of AI-driven initiatives — from investigating alternatives and setting up integrations, to testing and rolling out to production (as previously done with AI-powered course translation tooling). Responsible use: Use AI tools in a way that's compliant with company confidentiality and data-security standards, and only with company-approved systems. What You Need For This Role You have a solid, broad understanding of technology and digital platforms, and you're comfortable getting hands-on rather than just directing others. You have 5+ years of experience managing Education and Marketing tech projects. You are genuinely curious about AI and see it as a tool to build with, not just a topic to discuss — you've built something with AI before (a workflow, an automation, an integration, a tool). You bring project management skills with a track record of leading initiatives from scope to delivery. You're a strong communicator who moves comfortably between technical and non-technical audiences. You're a proactive problem-solver, able to identify needs and find the right solutions, people, and tools without waiting to be asked. You understand marketing funnels and growth metrics (CPL, CAC, conversion rate, LTV) and can translate them into technical requirements. Hands-on experience with marketing automation and campaign tooling (Salesforce Marketing Cloud strongly preferred) is highly valued. Familiarity with GA4, Google Tag Manager, and conversion tracking setups is a strong plus. You are comfortable owning both the plumbing and the outcome — not just that the campaign sends, but that it performs. Experience with WordPress and/or LMS platforms (ideally LearnDash) is a strong plus. Familiarity with CRM systems (Salesforce/Salesforce Marketing Cloud preferred) and data/BI tools (Power BI) is highly valued. You're highly organized, detail-oriented, and capable of managing multiple concurrent projects. You're a self-starter, comfortable working independently. What Will Make Us Really Love You You bring a track record of success in a similar role, with hands-on experience. You’re not afraid to challenge the status quo and bring fresh, out-of-the-box ideas to the table. You anticipate challenges before they arise and take initiative to find effective solutions. You have an eye for detail. You thrive on teamwork but also bring a driven, goal-oriented spirit. You’re genuinely enthusiastic about advertising, ad-tech, and staying ahead of industry trends. You have the ability to engage and communicate with internal and external stakeholders in a positive and approachable way. What You’ll Love About Us We care about your individuality by giving you freedom to grow and create within the company, regardless of your position Learn from the best: Our state of the art workshops guarantee the latest insights into digital advertising Be part of a company with a truly global footprint, working with leading brands, platforms, and publishers across 90+ markets. We foster a dynamic environment where creativity, collaboration, and bold ideas are encouraged and celebrated. Join a diverse, multicultural team that values and embraces different perspectives, experiences, and talents. At Aleph, your work directly contributes to connecting brands and consumers in meaningful ways, shaping the future of digital advertising. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Kyiv; Ukraine Workplace: Hybrid Наш клієнт - українська компанія в агро- та логістичному секторі, яка працює на ринку понад 9 років. Основний бізнес - зерновий трейдинг: компанія закуповує зерно, організовує його транспортування та експорт. Зараз компанія активно розбудовує логістичні маршрути через Захід України. Паралельно вона проходить внутрішню трансформацію: систематизує бізнес-процеси, розвиває цифрову інфраструктуру, впроваджує Microsoft 365, Teams, Power BI та інші інструменти. Це хороший момент, щоб прийти в компанію і вибудувати бухгалтерію так, як вважаєте правильним. ВАША РОЛЬ: Ви відповідатимете за бухгалтерський і податковий облік компанії в цілому: від первинного документа до закриття періоду й звітності. Ви станете людиною, на яку CEO та фінансова функція можуть спиратися в управлінських рішеннях. ЗЕД, ПДВ і бюджетне відшкодування ви вестимете самостійно, без постійного втручання CEO. Підпорядкування: CEO / керівник фінансової функції. ЧИМ ВИ БУДЕТЕ ЗАЙМАТИСЯ: Облік і закриття періоду - Організовувати та контролювати облік усіх операцій: закупівель, продажів, логістики, запасів, основних засобів, розрахунків. - Закривати період щомісяця та за рік відповідно до календаря. - Своєчасно подавати фінансову, податкову та статистичну звітність. ЗЕД та експорт - Повністю супроводжувати експорт сільгосппродукції в бухгалтерському та податковому обліку. - Вести валютні операції, курсові різниці, розрахунки з нерезидентами, контролювати строки валютного нагляду. - Взаємодіяти з банками, митними брокерами, аудиторами. ПДВ та бюджетне відшкодування - Контролювати податковий кредит і зобов'язання, реєстрацію ПН/РК, опрацьовувати проблемні операції. - Готувати та супроводжувати заяви на бюджетне відшкодування ПДВ аж до фактичного отримання коштів. - Супроводжувати камеральні та документальні перевірки. Взаєморозрахунки та первинка - Контролювати дебіторську та кредиторську заборгованість, аванси, проводити звірки з постачальниками, покупцями та перевізниками. - Будувати систему контролю первинних документів і встановлювати вимоги до них для операційних підрозділів. Команда, процеси, автоматизація - Організовувати роботу бухгалтерської команди, писати регламенти, забезпечувати взаємозамінність. - Бути власником методології обліку в BAS/1С: ставити задачі на автоматизацію, тестувати зміни. - Забезпечувати фінансову функцію достовірними даними для управлінської звітності. ЩО ДЛЯ НАС ВАЖЛИВО: - Практичний досвід бухгалтерського та податкового обліку ЗЕД, зокрема експортних операцій. - Реальний досвід підготовки та проходження процедур бюджетного відшкодування ПДВ. - Глибоке знання ПДВ і досвід проходження податкових перевірок. - Досвід роботи з валютними операціями та розрахунками з нерезидентами. - Впевнене володіння BAS/1С та Excel. - Системне мислення, уважність до деталей і розуміння бізнес-процесу в цілому. - Здатність самостійно приймати рішення та чітко пояснювати ризики керівництву. Буде перевагою: досвід в агротрейдингу або обліку товарних операцій. ЩО ПРОПОНУЄ КОМПАНІЯ: - Ключову роль із прямим впливом на рішення CEO. - Можливість вибудувати облікову функцію та процеси під себе в компанії, що проходить трансформацію. - Сучасний стек: Microsoft 365, Power BI, автоматизація процесів. - Конкурентну винагороду, яка обговорюється індивідуально.

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Team The Semantic Layer team owns the systems that turn dbt models into trusted, reusable business metrics. At the heart of this is MetricFlow — the open-source semantic engine that powers the dbt Semantic Layer. MetricFlow lets data teams define metrics once in code and consume them consistently across BI tools, notebooks, AI agents, and downstream applications. This team is the steward of MetricFlow as an open-source project: shipping releases, reviewing community contributions, evolving the query compiler, and ensuring it integrates cleanly with the broader dbt ecosystem. You'll work at the intersection of language design, query compilation, and distributed data execution — solving problems that directly shape how thousands of organizations measure their business. About the Role We're hiring a Senior Software Engineer to join the Semantic Layer team in Bangalore. You'll be a core contributor to MetricFlow — designing features, optimizing query generation, hardening the open-source codebase, and partnering with the community of contributors and adopters around it. This is a high-ownership role: you'll write production code, drive technical decisions, and help shape the long-term architecture of one of the most important projects in the modern data stack. What You'll Do Design, build, and maintain core features of MetricFlow, including metric definitions, query compilation, dimensional modeling, and SQL generation across multiple data warehouses (Snowflake, BigQuery, Databricks, Redshift, and others). Own MetricFlow as an open-source project — triage issues, review external pull requests, manage releases, and engage the community on GitHub and in Slack. Collaborate with engineers across dbt Cloud, dbt Core, and the Semantic Layer service to ensure MetricFlow integrates seamlessly with the rest of the dbt ecosystem. Improve performance, reliability, and observability of metric query execution at scale. Partner with product, design, and developer-relations teammates to translate customer and community feedback into shipped improvements. Write clear technical documentation, RFCs, and design docs that raise the bar for how the team thinks and ships. Mentor other engineers through code review, pairing, and technical guidance. Skills We're Looking For Strong professional software engineering experience, with a strong track record of shipping production systems. Deep proficiency in Python , including modern typing, testing practices, and packaging. Strong SQL fundamentals and a working understanding of how analytical query engines and data warehouses execute queries. Experience designing systems that involve parsing, compilation, or transformation — for example: query planners, DSL compilers, type systems, or rule-based engines. Solid grasp of software design principles: clean APIs, modularity, testability, and backwards compatibility. Excellent written and verbal communication — you can explain complex tradeoffs clearly to engineers, PMs, and external community members. Experience collaborating in a distributed, asynchronous team environment. Bonus Skills (Optional) Prior experience contributing to or maintaining a popular open-source project. Familiarity with dbt, MetricFlow, LookML, Cube, or other semantic-layer technologies. Background in data warehousing internals, query optimization, or analytical SQL dialects. Experience with CI/CD, GitHub Actions, and release engineering for Python libraries. Exposure to building developer-facing APIs, SDKs, or CLIs. Why Join Us Impact at scale: Your code will run inside the data platforms of tens of thousands of companies, including some of the world's largest enterprises. Open-source ownership: You'll be a public, named maintainer of a foundational project — your work is visible, reviewed, and used by the global data community. A team that values craft: We invest in design docs, code review, and durable engineering. We ship fast, but we don't ship sloppy. Competitive compensation: Market-leading salary, equity, comprehensive health insurance, generous time off, learning & wellness stipends, and home-office support. Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.