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: Atlanta, GA (Hybrid) The Position CallRail is looking for a highly analytical and detail oriented Senior Financial Analyst to join our Financial Planning and Analysis team. Reporting to the Sr. Director of FP&A you will be responsible for pulling together reports and analysis to support the decision making of the Executive and Leadership teams. Additionally, you will partner closely with various departments, Talent & Culture and Accounting to improve our internal financial processes and help advance the operating objectives of the business. The best fit for this position is someone who is detail oriented, analytically minded, an advanced excel user and is an excellent communicator who enjoys collaborating with people across all departments. What You'll Do Monitor and analyze budget/forecast variances each month and work with department leadership to help make operating decisions. Run monthly variance analysis for assigned departments and work with department leaders to ensure all expected expenses are planned in the forecast. Manage the company’s financial model, building new components to align with current business initiatives, while streamlining reporting and usability of the model. Assist with the preparation of the monthly forecast and annual budget.  Adjust the financial forecast model to reflect expected revenue and expenses as needed. Prepare monthly financial packages, KPIs, and other analyses/reports using systems like Looker, Netsuite, Zuora, and Salesforce. Develop new revenue forecasting capabilities and systems for communicating changes. Collaborate with Talent and Culture on position and headcount tracking/forecasting Provide modeling and analysis to support pricing decisions led by the Product Marketing team. Work on multi-year business cases with leadership, marketing and product management. Develop and maintain granular analysis of our cost of acquisition through various sales channels. Continually work to improve internal financial processes to gain efficiency. Monitor business processes and develop tools to track trends and help inform finance leadership. Prepare financials for annual 409a valuation Prepare market analysis reporting with comparisons to similar SaaS companies. What You'll Need Undergraduate degree in Accounting or Finance 5+ Years related experience Strong organization/documentation skills and attention to detail needed to be successful Ability to communicate complex financial information to non-financial leaders Netsuite, Zuora, Salesforce and Looker experience a plus, but not required Advanced excel skills required (Knowledge of pivot tables, lookup methods, chart creation, and data integrity issues) If you do not meet all the requirements listed, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that aligns with your skills and experience. Additional Perks Healthcare (one option covered at 100% for employees), Dental & Vision Coverage Competitive HSA with company matching Paid parental leave Flexible vacation policy 401K options with company dollar-for-dollar match Employee stock options available from day one $2,000 annual educational allowance Catered lunch every Tuesday * an in-office perk MARTA transportation or office parking expenses covered Employee charitable donation company match, up to $500 annually Regular company outings and events Hybrid work options with $500 office stipend to set up your home office Designated bike storage Learn more: https://www.callrail.com/about/ You Are Welcome Here CallRail understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company's core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, and persons of all sexual orientations and gender identities and expressions. In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc). Continuous adoption of AI technologies is essential to this role. You will be expected to leverage AI platforms to streamline operations, solve complex problems, and stay ahead of industry benchmarks. *** This position is based out of our Atlanta office. Through December 2026, employees are expected to work in the office on Tuesdays and Thursdays. Beginning in January 2027, CallRail will transition to a 3 day hybrid work model. Employees will work in the office on Mondays, Tuesdays, and Thursdays.

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.

Требования: — 3+ года опыта в роли бизнес-аналитика / процессного аналитика / аналитика по эффективности — Опыт работы в предметной области логистики — Опыт анализа бизнес-процессов и расчёта их эффективности — Желателен опыт работы в ритейле

Location: Belgrade; London; Berlin Workplace: Hybrid The internet is vast, containing trillions of URLs. Perplexity’s crawling and storage system is complex and has multiple stages (URL discovery, crawling, parsing, indexing). Each stage offers many opportunities for improvement and room for intricate bugs. You’ll work at the intersection of data analysis and engineering — designing metrics, building data pipelines, and improving the quality of our search and answer systems. Responsibilities - Find and diagnose quality issues in our crawling pipeline - Train small models that optimize particular aspects of the pipeline (e.g. parsing quality) - Build datasets for model training, including LLM-as-a-judge labeling pipelines - Improve page selection algorithms for indexing - Design and analyze experiments to validate improvements Qualifications - 4+ years of experience as a data analyst, ML engineer, or in a related role - Strong coding skills: you should be able to write production-grade code at the level of a mid-level backend engineer - Experience designing metrics from scratch - Experience training ML models that shipped to production with measurable metric improvements Nice to have - Direct experience working on web crawling or indexing pipelines

Location: Belgrade; London; Berlin Workplace: Hybrid The internet is vast, containing trillions of URLs. Perplexity’s crawling and storage system is complex and has multiple stages (URL discovery, crawling, parsing, indexing). Each stage offers many opportunities for improvement and room for intricate bugs. You’ll work at the intersection of data analysis and engineering — designing metrics, building data pipelines, and improving the quality of our search and answer systems. Responsibilities - Find and diagnose quality issues in our crawling pipeline - Train small models that optimize particular aspects of the pipeline (e.g. parsing quality) - Build datasets for model training, including LLM-as-a-judge labeling pipelines - Improve page selection algorithms for indexing - Design and analyze experiments to validate improvements Qualifications - 4+ years of experience as a data analyst, ML engineer, or in a related role - Strong coding skills: you should be able to write production-grade code at the level of a mid-level backend engineer - Experience designing metrics from scratch - Experience training ML models that shipped to production with measurable metric improvements Nice to have - Direct experience working on web crawling or indexing pipelines

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 Role We're looking for a Senior Financial Systems Analyst who will drive the transition from manual, repetitive legacy work to more accurate, streamlined, and automated models, dashboards, and data feeds. Your work will change from week-to-week and month-to-month as you partner with FP&A to redesign how the team plans and forecasts, build new dashboards, and train AI agents to do the tedious stuff automatically. We need someone who combines financial acumen with technical know-how — translating model assumptions and drivers into the right long-term solution, whether that's a Pigment model, a Python script, or an AI agent. You'll also own the trustworthiness of the numbers Finance leaders rely on, building systematic data-quality checks and partnering with the Data/Analytics Engineering team to resolve upstream data issues. And because a fix that only you can maintain isn't really a fix, you'll document your models clearly enough that analysts without a Pigment or Python background can self-serve basic changes — empowering the team with tools that completely solve problems without manual workarounds. This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Pigment, BigQuery, NetSuite, Omni, Sigma, Claude Code What You’ll Do Partner directly with FP&A business partners across Sales & Marketing, R&D, and G&A to understand how each team plans, forecasts, and reports today, then work together to identify manual, repetitive Finance work that Pigment integrations, Python scripts, and AI agents can streamline and automate. Own the end-to-end build of new and migrated Pigment models — data blocks, formulas, workflows, dashboards, and views — turning fuzzy business asks from FP&A into technical solutions people actually want to use. Collaborate on the design and maintenance of our Pigment architecture, ensuring we avoid a tangled mess of metrics, dimensions, and boards and keep our tools easy-to-navigate. Team up with your peers on the Finance Systems team to build durable integrations between Pigment, BigQuery, and other finance systems, so the data everyone needs shows up accurately and automatically instead of through manual workarounds. Put systematic data-quality checks in place — reconciliations, change monitoring, variance alerts — so business partners can trust the numbers without manual effort. Document what you build clearly enough that a Finance analyst with no Pigment or Python background can self-serve basic changes. Loop in the Data/Analytics Engineering team when a request needs a new data connection or you find an upstream data problem. Skills We’re Looking For 5+ years of experience in financial systems, FP&A, or analytics engineering, with hands-on work in an EPM platform (Pigment, Anaplan, Adaptive, or similar) — or an equivalent analytics-engineering background (SQL, dbt, Python) with a strong interest in moving into EPM/finance systems work. Proven experience using AI agents/LLM tooling to automate finance workflows. Ability to sit with a Finance stakeholder, listen to a messy description of “how we currently do this,” and come back with a well-scoped technical plan. Working proficiency in Python — or willingness and ability to learn via Claude Code or Codex. Strong SQL skills and comfort working in a cloud data warehouse (BigQuery or similar). High attention to detail — this role will work on models that inform real business decisions, so the ability to audit models and build intuition on outputs matter as much as speed. Strong communication skills — able to explain a data discrepancy or a modeling trade-off to someone without a systems or data background. Bonus Skills​ Prior experience inside an FP&A or corporate finance function (not just building tools for one from the outside), ideally supporting a Sales, R&D, or G&A finance function specifically. Prior experience building a Sales Capacity/Planning model or a Supply Chain model in Pigment, Anaplan, or another similar planning platform. Familiarity with BI tools such as Tableau, Looker, Sigma, or Omni. Experience with dbt or another data-transformation framework. # LI-HYBRID #LI-DB1 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.

Требования: — Опыт в роли аналитика от 3 лет (middle+), Senior — от 5 лет — Опыт в банках от 1 года обязательно — Сбор и анализ требований, проектирование и документирование решений — Моделирование: BPMN, UML (Activity, Sequence), PlantUML

Требования: — 3.5+ года опыта System Analyst + Product Owner — Уверенное владение UML / BPMN, Jira, Confluence и Draw.io — Уверенный SQL и опыт с реляционными базами данных — Практический опыт с REST, SOAP, SFTP, OpenAPI и Postman О компании: Проект по enterprise-интеграциям и автоматизации процессов страхования и клиентского сервиса.

В крупной компании, занимающейся добычей золота, требуется старший финансовый аналитик для выполнения задач, связанных с финансовым анализом, моделированием и подготовкой ключевых финансовых показателей. В обязанности входит создание финансовых моделей, анализ данных, работа с финансовой и бухгалтерской отчетностью, а также подготовка и оценка финансовых результатов. Кандидат должен иметь опыт работы на аналогичной должности от одного до двух лет, высшее образование в области финансов или экономики, уверенные навыки работы с Excel. Дополнительным преимуществом будет опыт работы в одной из компаний Big 4 и наличие сертификата CFA.

Требования: — 2–5 лет опыта — Опыт работы с финансовыми, транзакционными или большими структурированными данными — Понимание баз данных, обработки, сопоставления, группировки и агрегации данных — Уверенное использование AI-инструментов для прикладных задач Важно: — только РФ О компании: Команда финансового отдела. Условия: — Удалёнка — Гибрид или офис в Москве — 5/2 — Оформление по ТК РФ

Задачи: — Разработка uplift-моделей для оценки инкрементального эффекта коммуникаций и офферов на поведение клиентов. — Построение моделей склонности и ценности оффера для клиента. — Ранжирование офферов на уровне «клиент × оффер». — Решение задач линейного и целочисленного программирования для распределения офферов с учётом бюджета, контактной политики и бизнес-ограничений. — Построение пайплайнов подготовки данных и признаков, регулярный пересчёт скоров и автоматизация запуска кампаний. — Мониторинг качества моделей и сопровождение end-to-end контура. — Дизайн и оценка экспериментов с контрольными группами. — Подготовка отчётности по инкрементальному эффекту кампаний. — Разработка продуктовой и ad-hoc аналитики. — Участие в развёртывании и сопровождении ML-сервисов, а также в построении CI/CD-инфраструктуры. Требования: — От 3 лет опыта работы аналитиком данных. — SQL, Greenplum/PostgreSQL. — Python. — A/B-тесты и дизайн экспериментов с контрольными группами. — Оценка инкрементального эффекта кампаний. — Построение аналитических моделей, включая модели склонности, ценности оффера и uplift-модели. — BI-инструменты. — Умение работать в кросс-функциональной продуктовой команде. Будет плюсом: — Опыт в ритейле, CRM или CVM. — Опыт решения оптимизационных задач линейного и целочисленного программирования. — Опыт построения end-to-end пайплайнов, автоматизации кампаний и мониторинга качества моделей. — Опыт работы с CI/CD и сопровождения ML-сервисов.

Обязательные требования: — Опыт участия во внедрении систем планирования спроса или автоматизации процессов прогнозирования. — Понимание процесса demand planning: исторические продажи, очистка данных, статистический прогноз, экспертные корректировки, сценарии и оценка точности. — Опыт разработки или настройки решений на low-code платформе: от модели данных и логики расчётов до пользовательских экранов и тестирования. — Уверенное понимание реляционной модели данных и SQL: соединения таблиц, фильтрация, агрегация, проверка и преобразование данных. — Понимание того, как Python-компоненты получают данные из платформы, обрабатывают их и возвращают результат; способность разбирать конфигурацию и диагностировать ошибки на стыке компонентов. — Навыки взаимодействия с заказчиком и разработки понятной документации. Дополнительные требования: — Опыт работы с In.Plan Demand Planning или другой платформой IBP/S&OP. — Практический опыт работы с Python, датафреймами и параметрической настройкой алгоритмов. — Знакомство с моделью данных «звезда» по Кимбаллу, Airflow и BI-инструментами, например Superset. Задачи на проекте: — Собирать и уточнять требования планировщиков спроса, продаж и смежных команд; описывать целевой процесс, сценарии работы и функциональные требования. — Проектировать и настраивать модель данных: таблицы, наборы данных, справочники, иерархии, связи, показатели и уровни планирования; готовить настройки чтения, записи и преобразования данных. — Разрабатывать решение средствами low-code платформы: ракурсы планирования, экраны, предупреждения, права доступа и пользовательские сценарии. — Настраивать параметры очистки истории, сегментации и алгоритмов прогнозирования спроса с использованием библиотеки модулей In.Plan Demand; проверять качество исходных данных и результатов расчёта. — Прорабатывать сценарии ручной корректировки, обогащения и согласования прогноза, включая формирование итогового плана спроса. — Разбирать и проверять SQL-запросы и преобразования данных, понимать передачу данных между платформой и Python-алгоритмами; формулировать задачи на доработку там, где платформенных средств недостаточно. — Готовить инструкции и обучающие материалы, проводить обучение пользователей и сопровождать запуск решения в эксплуатацию. Этапы отбора: 1. Внутренний квалификационный. 2. Интервью с клиентом с техническими вопросами. Описание проекта и команды: Специалист разрабатывает решение для планирования спроса на low-code платформе In.Plan по бизнес-требованиям заказчика. Проектирует и настраивает модель данных, логику обработки и интерфейсы, связывает платформенные настройки с алгоритмами на Python и проверяет результат вместе с пользователями.

Задачи: — Работать с большим объемом данных — Разрабатывать логику аналитических выборок и отчётов — Работать с данными продаж, чеков, заказов, формировать агрегаты из транзакций, обогащать сырые данные — Писать сложные SQL запросы — Переводить бизнес-запросы в понятные технические задания для разработки отчётов, витрин — Работать с расхождениями в данных, находить и анализировать ошибки — Настраивать фильтры и метрики для BI Требования: — Уверенный опыт работы с данными на позиции аналитика от 4-5 лет — Опыт работы с аналогичным функционалом в Retail/FMCG в разрезе продаж, категорий — Приветствуется опыт работы в крупных компаниях производителях FMCG — Опыт работы с большими данными — Продвинутый уровень SQL и Excel, ClickHouse — Умение формировать SQL запросы без помощи нейронок — Опыт построения отчётности на базе справочников и аналитических агрегатов — Опыт постановки ТЗ для формирования отчётов — Умение находить оптимальные способы решения задачи (оптимально по скорости, затраченным ресурсам и работе с БД) — Интерес к профессии, желание развиваться и решать сложные задачи Условия: — null

Join a project building enterprise integrations and automating insurance and customer service workflows.

Задачи: — null Требования: — 4–5+ лет в роли аналитика данных — Опыт именно в Pharma обязателен — Уверенная работа с большими данными — Продвинутый SQL и Excel, опыт с ClickHouse или другими колоночными СУБД — Умение писать SQL самостоятельно, без генерации нейросетями — Гражданство РФ и фактическое нахождение в России Условия: — удалённая работа (remote)

О компании: JoomPro — первый и единственный сквозной B2B маркетплейс, работающий с малыми, средними и крупными бизнесами, обрабатывающий заказы любого размера. Работает в Бразилии и Мексике, планирует расширяться. JoomPro входит в Joom Group — международную технологическую группу e-commerce компаний, основанную в 2016 году в Латвии. В группу также входят Joom, JoomPulse и Onfy. Штаб-квартира в Лиссабоне, Португалия. Команда аналитики помогает бизнесу принимать решения на основе данных, фокусируется на оптимизации маркетинговых бюджетов и каналов, создании дашбордов и аналитических инструментов, проектировании и анализе экспериментов, разработке систем оповещений, поддержке планирования бюджета и маркетинговой стратегии. Задачи: — Оценка эффективности рекламных каналов (Google Ads, Meta Ads и др.) — Настройка и улучшение мониторинга статистических аномалий в метриках — Улучшение моделей долгосрочного прогноза окупаемости — Генерация гипотез для улучшения привлечения, товарных фидов, креативов, распределения каналов и целей — Проведение исследований данных для выявления инсайтов — Написание ETL-пайплайнов (датамарты, оповещения, прогнозы) — Анализ проблем и постановка правильных вопросов Требования: — Опыт анализа данных и маркетинговой аналитики — Понимание маркетинговых KPI, моделей атрибуции и задач рекламных платформ — Знание математической статистики и опыт её применения — Умение писать сложные SQL-запросы — Навыки анализа данных на Python — Способность выбирать подходящий метод оценки (аналитика, исследование, внешние данные) — Умение решать нетривиальные задачи при неполных данных — Внимательность и доведение задач до конца — Хорошие коммуникативные навыки на английском (B2+) Преимущества: — Опыт проведения A/B, гео- и других экспериментов — Опыт в эконометрике Условия: — Конкурентный компенсационный пакет: базовая зарплата и бонусы по результатам — Полная поддержка релокации в Лиссабон для сотрудников и их семей — Офисный формат с гибким графиком и возможностью удалённой работы — 52 дня отпуска в году — Медицинская страховка, включая стоматологию, для сотрудников и детей — Суточные и 100% оплата больничных — Доступ к широкому спектру AI-инструментов — Работа в международной команде с возможностями карьерного роста, обучением и курсами английского и португальского — Командные мероприятия и обмен знаниями Перед подачей заявки необходимо ознакомиться с политикой конфиденциальности кандидатов.

Компания RedCore приглашает на позицию Data Analyst уровня Middle для удалённой работы. В обязанности входит управление экономикой и оценкой возврата инвестиций (ROI) бонусных систем. Кандидат должен иметь опыт работы с высоконагруженными цифровыми продуктами, такими как iGaming, ставки и FinTech.