Вакансии

Требования: — Опыт работы в финансах от 3 до 6 лет. — Опыт ведения управленческого учёта и подготовки финансовой отчётности (P&L, Cash Flow, Balance Sheet). — Знание финансового моделирования и юнит-экономики. — Опыт бюджетирования и финансового планирования. — Уверенное владение Excel, желательно Power BI и 1С. Задачи: — Аудит и оптимизация финансовых процессов. — Подготовка управленческой отчётности. — Разработка финансовых моделей. — Внедрение бюджетирования и анализ финансовых показателей. Условия: — График 5/2, с 10:00 до 19:00. — Официальное трудоустройство. — ДМС после испытательного срока. — Абонемент 1Fit.

Обширный опыт работы с Microsoft Dynamics Sales, как локально, так и облачно. Подтверждённый опыт работы в проектах миграции в облако.

В компании СИБУР открыта вакансия финансового бизнес-партнёра для регионов с возможностью релокации в Нижний Новгород, Казань, Нижнекамск, Тобольск или Воронеж. В обязанности входит финансовое планирование, бюджетирование с анализом отклонений, разработка бизнес-планов и управление ключевыми показателями эффективности (KPI), оценка инвестиционных проектов, финансовое моделирование и проведение сценарного анализа. Также требуется подготовка рекомендаций для топ-менеджмента и координация кросс-функциональных проектов. Кандидат должен иметь опыт в финансовом планировании и бюджетировании, знание РСБУ, МСФО и налогового учёта, а также навыки оценки инвестиционных проектов. Важны продвинутые умения работы с Excel, Power Query, Power Pivot и BI-инструментами, опыт подготовки аналитики для высшего руководства. Опыт работы в промышленности будет преимуществом. Компания предлагает конкурентную зарплату с премиями, пакет для релокации, включая компенсацию аренды жилья и переезда, добровольное медицинское страхование с стоматологией, обучение в корпоративном университете и возможности карьерного роста внутри холдинга.

Location: Europe; Vilnius, Remote Workplace: Remote About Eneba   At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers. About your team Behind every groundbreaking product, there’s an awesome team! In Product, we gather folks with diverse backgrounds and expertise in areas such as product development, management, design, UX, analytics, and more. We move fast, experiment, learn a lot, and build new products for our growing base of 20+ million active users. At the same time, we continue to iterate and improve on our flagship product: Digital, a safe and affordable marketplace for gamers. Physical, where we enable users to turn their second-hand items into someone’s first-tier gaming experience. Or Payments & Risk, where we provide a smooth, secure, and reliable purchase experience. As a Business Intelligence Analyst, you will be responsible for providing analytical insights and reporting to support decision-making within the company. You will work closely with the product teams and other departments to analyze payments-related data, manage complex data sources, automate data processes, and provide insights into business performance. This is a critical role in our organization, as the insights and recommendations you provide will inform key strategic decisions that drive our growth and success. Responsibilities - Lead data collection and integration projects within the payments domain. - Develop and maintain performance reports for payments analytics. - Monitor key performance indicators (KPIs) and provide insights into payment performance, transaction volumes, and other indicators. - Identify opportunities to optimize payment processes and reduce operational costs, working with Payment Ops and Product teams to optimize payment routing and reduce payment failures. - Collaborate with data analysts and engineers to ensure data accuracy, completeness, and consistency. - Collaborate with other teams, such as Finance, Customer Support, and Product Development, to address payment-related challenges and opportunities. - Perform ad-hoc analysis and research to answer specific business questions and support decision-making. Requirements - At least 4/5+ years of experience in business analytics in finance, banking, consulting, accounting, or similar sectors. Exposure to payments data (PSP, acquiring, or risk systems) is a strong plus. - Working knowledge of the payments stack is a strong plus. - Advanced SQL, with an ambition to improve. - Strong quantitative and analytical skills. - Ability to identify and suggest improvements in the payments domain by analyzing transactional, business, and market data. - Excellent written and verbal communication skills, with the ability to present complex information clearly and translate data findings into actionable recommendations, especially for non-technical stakeholders. Precise and well-structured when delivering analyses and reports. Nice to have - Ability to independently build structured dashboards (Databricks, Tableau, or similar BI tools). - Experience building AI-powered refreshable/scheduled reports. Salary ranges may vary. We're seeking candidates with varied experience levels; from individual contributors to functional leaders in this space. We're an international team and our business language of choice is English. Good English level is required, proficiency is preferred. To find out about how we handle your personal data, make sure to check out our Candidate Privacy Notice: https://www.eneba.com/candidate-privacy-notice What it's like to work at Eneba - Opportunity to join our Employee Stock Options program. - Opportunity to help scale a unique product. - Various bonus systems: performance-based, referral, additional paid leave, personal learning budget. - Paid volunteering opportunities. - Work location of your choice: office, remote, opportunity to work and travel. - Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes. #LI-JP1

Задачи: — Сбор и анализ бизнес-требований с бизнес-аналитиками и ключевыми заказчиками; — Проектирование витрин данных: перевод бизнес-требований в технические требования для инженеров данных; — Проектирование логических схем для Data Marts в PostgreSQL и ClickHouse; — Data Mapping: поиск источников данных, описание правил трансформации и объединения данных; — Анализ логики существующих отчетов (MS SQL, OLAP-кубы SSAS Tabular, сложные Excel-файлы); — Приемка и тестирование данных перед передачей в BI-систему (Yandex DataLens); — Ведение документации и координация команды. Требования: — Высшее или неоконченное высшее образование; — Опыт системного/бизнес-анализа или аналитика данных от 2 лет; — Уверенное владение SQL (сложные SELECT-запросы с JOIN, оконными функциями, CTE); — Понимание принципов построения DWH и жизненного цикла отчетности; — Навыки прототипирования интерфейсов и визуализации данных с BI-инструментами; — Умение работать с API, анализировать JSON/XML для маппинга; — Знание BPMN, UML, опыт ведения документации в Confluence и Jira; — Системное мышление, коммуникативные навыки, умение переводить бизнес-требования в технические. Будет плюсом: — Опыт работы с Yandex DataLens, Tableau или Power BI; — Базовые знания Python для чтения ETL-скриптов и проверки гипотез в Jupyter Notebook; — Понимание архитектуры OLAP-кубов (SSAS), знакомство с DAX/MDX; — Опыт работы с ClickHouse или другими колоночными СУБД; — Навыки написания технической документации (Swagger/OpenAPI, ER-диаграммы); — Опыт работы в Agile/Scrum-командах. Условия: — Работа удаленно или в офисе в БЦ Кунцево Плаза, 5 минут от м. Молодежная; — График 5/2 с гибким началом рабочего дня; — Официальное оформление по ТК РФ, официальная зарплата, больничный, отпуск 28 дней; — ДМС включая стоматологию (условия зависят от стажа); — Дисконтная карта на продукцию компании, участие в распродажах; — Корпоративные скидки на фитнес; — Перспективы профессионального и карьерного роста; — Уютные лаундж-зоны, технологичные переговорные, просторные кухни, вкусный капучино.

Location: Boston, Massachusetts, United States We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime. Job Overview Step into the Analyst role at Hasbro and play a key part in providing top-tier customer service. We are looking for an inquisitive, enthusiastic, and forward-thinking team member who enjoys examining details, posing the right questions, and resolving issues early. This position offers a valuable opportunity to develop your logistics career, focusing on on-time shipping, high fill percentages, and smooth vendor processes, with hands-on exposure to order processing and retail compliance. Located in Boston, MA, you will collaborate with multiple departments to deliver outstanding results for our clients. Location and Work Arrangement This role is based at our Boston, Massachusetts office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays. What You'll Do Complete day-to-day order activity for assigned, less complex retail accounts, communicating directly with customers on order adjustments and keeping Sales/Replenishment informed. Research and resolve routine purchase order discrepancies and order exceptions (pricing, case-pack/UPC errors, order blocks), bringing up complex issues to the Senior Analyst. Run open-order analysis against allocation plans and available inventory using Systems, Applications, and Products (SAP) automated transaction tools and carry out inventory availability plans to meet in-full targets. Proactively flag at-risk appointed arrival dates and in-transit issues, request retailer date changes early to prevent not-on-time charges, and complete agreed-upon resolutions with Logistics and Sales. Proactively flag at-risk appointed arrival dates and in-transit issues, request retailer date changes early to prevent not-on-time charges, and complete agreed-upon resolutions and peak-period shipping plans in partnership with Logistics, Sales, Management, and Replenishment. Follow established account management procedures and retail guidelines, bringing curiosity and fresh ideas for improvement. Partner with the outsourced order processing team on order entry, exceptions, and quality checks in SAP, serving as an escalation point for assigned accounts. Research compliance charges (fill rate, not-on-time, UPC/case-pack) for assigned accounts, help prepare retailer disputes with supporting documentation, and flag root causes to prevent repeat charges. Provide occasional evening and weekend coverage during month/quarter-end close. What You'll Bring Demonstrated ability to research issues, analyze data, and resolve problems before they escalate. Possession of a Bachelor's degree or equivalent practical experience in a relevant domain. Approximately 1 – 3 years of experience in account management, customer service, or order management, ideally in Consumer Products/Manufacturing, may be typical for this role, but candidates with additional experience are welcome and will receive full consideration. Strong ability to prioritize multiple tasks with high detail accuracy and follow-through. Excellent verbal, written, and analytical skills, with the ability to collect, organize, and share data. Working proficiency in Microsoft Office, particularly Excel. Experience with SAP order processing and interest in BI tools. Eagerness to learn, identify inefficiencies, and suggest improvements. What Sets You Apart Experience working in a dynamic, high-demand consumer products setting. Knowledge of retail compliance programs, chargebacks/deductions, and logistics processes. Who We Are We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all. Hasbro About the Company – Hasbro Wizards of the Coast Who We Are – Wizards of the Coast Equal Opportunity Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status. Accommodations If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process. Notice Regarding Hasbro’s use of AI in the Recruitment Process We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements. How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review. Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions. Greenhouse has published the results of an independent bias audit of Talent Matching. View the Greenhouse Talent Matching audit results . The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package. Pay Range $76,500 — $114,800 USD Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include: Health & Wellness Time Off to Recharge Financial Well-being Life & Family Support Volunteer and Community Initiatives Learning & Development Exclusive Perks Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.

Location: Remote, California, United States, AMER 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 Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Manager Sales Engineering Specialists to oversee our data platform Specialists functions. In this role, you will work alongside global Sales Engineering leadership to leverage a team of technical experts to accelerate our most complex enterprise deals, drive customer adoption after the sale, and improve the efficiency of the Sales Engineering motion at large. As customers build toward AI and agentic workloads, you will keep your team ahead of what those workloads demand of the data platform. You will need a deep understanding of how modern data movement and transformation platforms like ours are architected, including the AI use cases built on top of them, and a keen ability to lead a team of highly specialized resources. You will be tasked with developing and retaining experienced, high-performing talent who can speak the language of enterprise architects, data engineers, and data platform owners, and with hiring where the team needs to grow. This is a full-time position based in the US. Technologies You’ll Use Fivetran, dbt, Enterprise databases and applications (including SAP), cloud data warehouses and lakehouses (Snowflake, BigQuery, Databricks), open table formats (Apache Iceberg), dbt, SQL, reverse ETL, AI and agent tooling, AWS, GCP, Azure What You’ll Do Lead a team of tenured experts across our data platform specialties to act as technical liaisons between Sales Engineering, Sales, Product, and Engineering. Support Global Sales teams by proactively embedding specialist functions to remove technical blockers in complex enterprise deals and in customer adoption after the sale. Implement strategies to maximize deal velocity and customer adoption by streamlining how specialists are engaged, prioritized, and measured. Execute hands-on tasks when needed, including architecture reviews, critical customer calls, or complex proofs of value. Ensure the team provides timely, strategic, and accurate guidance during technical evaluations and customer escalations. Build strong working relationships with strategic internal partners, including Product, Engineering, and other sales teams. Coach team members to maximize performance and efficiency, and prepare them for future roles. Ensure the team shares specialist knowledge across the field through enablement and documentation. Keep the team current on how AI and agentic workloads change customer requirements, and turn that into field guidance. Skills We’re Looking For People Leadership: Proven experience leading and developing a Sales Engineering, Solution Architecture, or other technical team, with people management experience preferred. Technical Depth: Hands-on expertise in one or more areas across the data lifecycle, such as database and application replication, SAP, lake and warehouse architectures, transformation, activation, or AI and context engineering, and the breadth to credibly lead specialists in other disciplines. Experience applying a narrower specialty across several of these areas also counts. Cloud and Data Architecture: Proficiency with major cloud providers (AWS, GCP, Azure), specifically regarding deployment and connectivity, and with modern data architectures, including cloud data warehouses and lakehouses. AI Fluency: Working understanding of how AI and agentic workloads change customers' data requirements, and fluency using AI tools to scale your own and your team's work. Technical Sales Acumen: Extensive Sales Engineering or specialist experience supporting complex enterprise sales cycles, including proofs of value and senior stakeholders, and deep knowledge of the broader technical sales and demonstration process. Communication Skills: Best-in-class ability to explain complex data and AI concepts to non-technical buyers and technical architects alike, and to influence Product and Engineering priorities with customer evidence. Bonus Skills​ Prior experience at an analytics, ETL, BI, or open-source data software company Familiarity with dbt, Terraform, or similar tools for transformation and managing cloud infrastructure Experience managing distributed teams across multiple regions and time zones Hands-on experience with AI and context engineering, such as LLM applications, MCP, semantic layers, or metadata and retrieval OTE (On Target Earning) $212,004.29 — $294,450.54 USD 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.

Spreetail is seeking a Principal Financial Analyst, Merchandising finance to serve serve as a critical analytical partner to our Merchandising and Category leadership teams, shaping how we think about pricing, promotions, assortment, and category profitability.

Location: Beograd, Serbia; Europe Workplace: hybrid About The Role: We are looking for a technical analyst to join our FinCrime team as one of the owners of our rules framework, KPI and activity tracking, and the continuous improvement of our detection capabilities. You will identify gaps, propose solutions, and drive them to delivery alongside Product, Compliance, Network and Engineering, keeping us ahead of bad actors without hurting speed or user experience. What you'll co-own Rules lifecycle: design, build, test, tune and retire fraud and AML/TF detection rules, from hypothesis through backtesting and deployment to performance review. KPI framework: define, build and maintain metrics for detection effectiveness, false positives, losses, alert volumes and operational productivity. Activity tracking: reporting on rule changes, alert handling and team throughput, with dashboards that stakeholders actually use. Detection improvement: proactively find new typologies, data signals and controls, and turn them into live rules or models. What you'll do Build and improve detection logic: translate fraud and financial crime typologies into rules; use SQL and Python to backtest, simulate and measure impact before release. Monitor and analyze: track real-time and batch transaction data, spot anomalies and emerging attack patterns, and run deep-dives on loss drivers and rule performance. Drive automation: replace manual analysis and reporting with scalable pipelines, scheduled jobs and self-serve dashboards. Collaborate as a partner: Product and Engineering: define requirements, data needs and system enhancements. Compliance: make sure detection meets AML/TF, KYC and regulatory expectations, and support audits and partner due diligence. Network: align on Visa and Mastercard program requirements, thresholds and monitoring. Operations: use investigation feedback to refine rules and reduce noise. Support regulatory compliance: stay current on AML regulations, PSD2/SCA, and card scheme rules, and help embed them into controls. Take responsibility and escalate: document decisions and rule rationale clearly, and escalate material risks early. What You’ll Need To Be Successful In This Role: Experience in fraud or financial crime analytics, ideally in fintech, payments or high-volume B2C. Proven hands-on experience with rule-based detection: designing, tuning and evaluating rules, with clear trade-off thinking (catch rate vs. false positives vs. customer friction). Advanced SQL and experience with modern data platforms and large-scale data processing (distributed frameworks such as Spark or similar). Python for analysis and automation (pandas, notebooks, scheduled workflows), including experience working with large datasets. Solid understanding of fraud typologies and AML/TF concepts, and awareness of emerging trends. Knowledge of Visa and Mastercard tools, data and monitoring programs (AVS, 3DS, chargeback and fraud programs). Practical knowledge of payment methods (cards, tokenization, Apple Pay, Google Pay, etc.). Experience building dashboards in a BI tool (Looker, Tableau, Power BI or similar). Ownership mindset: you spot problems, propose solutions and see them through without waiting to be asked, while working as part of a team. Clear communication and documentation, able to explain data-driven decisions to technical and non-technical stakeholders. Nice to have Experience with rules engines or decisioning platforms and expression-based rule logic. Experience with advanced methods for anomaly detection (statistical, unsupervised or machine learning approaches) and applying them to fraud or financial crime use cases. Familiarity with how financial crime operations run day to day. Experience working with auditors or regulators, or supporting regulatory reviews and partner due diligence. What you'll achieve First 3 months Understand our products, detection framework, rules engine and data landscape. Learn our KPIs, tooling and key fraud and AML patterns. Build relationships across Product, Compliance, Engineering and Operations. Take responsibility for a first set of rules and ship your first tuning improvements. By 6 months Co-own the end-to-end rules lifecycle for your portfolio, with documented performance reviews. Launch a reliable KPI and activity tracking suite. Deliver your first automation that removes recurring manual work. By 12 months Be a key contributor and owner for detection effectiveness and reporting. Deliver measurable gains in loss reduction, false positive rate or operational efficiency. Have introduced new detection approaches and automation that strengthen our compliance posture. Why Join Paysend? Make a Global Impact: Join a company that is transforming how people and businesses move money around the world. Your work will contribute to products and services that help millions of customers stay connected globally. Own Meaningful Outcomes: We empower our people to take ownership, make decisions, and drive real impact. You'll have the opportunity to shape solutions, challenge the status quo, and see the results of your work firsthand. Grow with Us: As a fast-growing global fintech, we offer opportunities to learn, develop new skills, take on new challenges, and advance your career across functions and geographies. Collaborate with Exceptional People: Work alongside talented colleagues from diverse backgrounds and disciplines who are united by a shared ambition to build, innovate, and deliver great outcomes for our customers. Move Fast and Make Things Happen: We value action, curiosity, and continuous improvement. You'll be part of a culture that encourages experimentation, embraces change, and focuses on delivering meaningful results. Be Part of Our Journey: We're building the future of the global money movement. Join us at an exciting stage of growth where your ideas, expertise, and contributions can help shape what's next.

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: Senior Manager, GTM Systems Location: Remote US Compensation Range: $160,000 to $190,000 base plus bonus and equity What You’ll Do: We are looking for a Senior Salesforce Developer to join our Revenue Operations team and help us build, scale, and integrate the systems that power Huntress’s commercial engine. Our Salesforce platform underpins quoting, renewals, partner engagement, and integrations across our internal subscription and billing platform and a growing ecosystem of business applications. In this role, you will partner closely with our Senior Salesforce Technical Architect to design and deliver high-impact features with a heavy emphasis on CPQ, integration development, and an upcoming migration of point-to-point integrations to a centralized iPaaS platform (Workato or Celigo). You will also contribute to an AI-augmented development culture, actively using LLM tools to accelerate your own workflows and building AI-integrated features within Salesforce. This is hands-on, high-velocity work on systems that matter. Responsibilities: Design, develop, test, and deploy scalable Salesforce solutions with a primary focus on CPQ workflows like quoting, custom pricing logic, renewals, and subscription lifecycle management. Execute the hands-on migration of existing Salesforce integrations to a centralized iPaaS platform like Workato or Celigo, building reusable components and error-handling patterns. Build and maintain a reliable integration layer connecting Salesforce to our internal subscription platform, CRM applications, and third-party systems. Partner with the Technical Architect to evaluate platform trade-offs, maintain environment stability, and help define integration best practices. Collaborate cross-functionally with Revenue Operations, Finance, and Sales teams to support strategic initiatives like multi-product quoting and partner channel workflows. Use AI and LLM tools as part of your daily engineering workflow for troubleshooting, code generation, and rapid problem-solving. Participate in code reviews, raise technical standards, and deliver consistently within sprint cycles with clear communication on scope and blockers. What You Bring To The Team: 7+ years of Salesforce development experience with a strong and demonstrable focus on Salesforce CPQ. Hands-on experience with Salesforce CPQ custom pricing logic, including Quote Calculator Plugin development in JavaScript. Practical experience building and deploying components on one or more enterprise iPaaS platforms like Workato, Celigo, MuleSoft, or Boomi. Mastery of Apex, JavaScript, CSS, Lightning Web Components, and Salesforce Flows. Strong working knowledge of Salesforce APIs and modern event-driven integration patterns. Advanced fluency with AI or LLM tools like ChatGPT, Claude, or Copilot as active accelerators in your daily engineering workflow. Ability to translate technical concepts clearly for non-technical business partners and deliver features end-to-end in an Agile environment. 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 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

– Опыт BI-аналитиком от 3 лет.

Requirements: — Minimum 7 years of experience in the banking sector with deep expertise in AML / AFC, Financial Crime Risk Management, Transaction Monitoring. — Development of business rules and client risk assessment models. — Experience with Investigation Workflows, Business Analysis, Process Mining, Change Management. — Proficiency in SQL (complex queries and optimization on large data volumes), Python, ETL, Data Analysis. — Familiarity with Jira, Confluence, Agile methodologies (Scrum / Kanban / SAFe). — Ability to produce technical documentation and manage stakeholders. Advantages: — Knowledge of Bridger XG, Siron Suite, Compliance Lens, AML Analytics, Power BI, Tableau, AWS, Kafka, Kubernetes. Conditions: — Predominantly remote work format with paid business trips once a month to Baltic countries. — Fluent English required. — Only freelancers, outstaff, and recruiting companies are not considered.

Location: GE Workplace: remote Overview: SOFTSWISS is hiring a Promo Manager Assistant to join our Game Aggregator team. You’ll support promotional activities across the Game Aggregator platform, working closely with game providers, operators, and internal teams to ensure well-coordinated campaigns and smooth promo launches. About Product: The SOFTSWISS Game Aggregator is a high-load casino games API platform that connects operator platforms to multiple remote game servers via a single integration. Behind the product is a team of engineers, DevOps specialists, integration experts, account managers, and partnership professionals who ensure reliable, secure, and scalable operations for operators worldwide. You’ll solve complex technical challenges and help power one of the industry’s leading aggregation platforms. Purpose of the Role: You’ll coordinate promotional activities across the Game Aggregator platform to support timely launches and effective collaboration with partners. Your work will help maintain accurate partner data, streamline communication, and ensure promotional opportunities reach the right stakeholders. Key Responsibilities: Maintain and update the partner marketing activities calendar in Confluence and Telegram. Support the Promo Manager in coordinating Tournament Tool integrations with clients / operators. Facilitate communication between the Promo Manager, game providers, and operators on promotional activities. Review and maintain client-submitted forms, identifying inconsistencies and flagging them to Account Managers / Business Account Managers of the operator / client. Share information on promotional discounts with Partnership Reconciliation Managers to support accurate reconciliation. Coordinate exclusive game releases and pre-releases, including internal announcements, client registrations, and communication with game providers. Required Experience: English proficiency at Intermediate level or higher. Strong analytical thinking and attention to detail. Good knowledge of Excel and Google Sheets. Good organisational skills, with the ability to manage multiple tasks and keep information up to date. Clear communication skills and the ability to work with different teams and stakeholders. Nice to Have: Experience as an Account Manager assistant, in marketing or advertisement. Familiarity with analytics and reporting tools, such as Power BI or Tableau. Russian proficiency at Upper-Intermediate level or higher. Main Advantages Private health insurance Sports benefits Comprehensive Mental Health Program Free English lessons (online) Local language courses Paid time off Maternity leave support Referral program rewards Upskilling, internal workshops, and participation in professional conferences and corporate events

🛠 Требования Hard Skills — Экспертный DAX, Power Query, оптимизация гигантских моделей — Построение DWH/ETL (PostgreSQL, MS SQL) — Опыт с 1С ERP, УХ, БУХ (структура таблиц, прямые SQL-запросы к БД 1С, регистры, СКД, Конфигуратор) — Знание Плана счетов (особенно 10 и 62), проводок, двойной записи, закрытия периода, P&L/БДР, МСФО/трансформации.

Location: Argentina; Brazil; Colombia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Product Data Scientist to partner closely with Credit Cards and Banking product teams, shaping product strategy and driving growth through rigorous analysis, experimentation, and applied machine learning. You’ll work alongside Product Managers, Engineers, and business stakeholders to identify opportunities, influence product decisions, and measure the impact of new features — from optimizing how consumers discover and compare financial products to developing predictive tools such as approval odds and personalized recommendations. This is a hands-on, highly analytical role for someone comfortable exploring complex data, challenging product assumptions, designing experiments, and translating insights into decisions that ship. WHAT YOU’LL DO Product strategy & growth - Partner with Product Managers and vertical leadership to identify, size, and prioritize growth opportunities across the consumer journey. - Establish metric frameworks — north-star metrics, funnel definitions, and performance drivers. - Lead deep-dive analyses to understand consumer behavior, friction points, and performance trends. - Translate ambiguous business questions into clear analytical approaches and actionable recommendations. Experimentation & applied data science - Own the full experimentation lifecycle — hypothesis development, test design, statistical analysis, and business impact measurement. - Develop predictive and statistical models that improve consumer experiences. - Collaborate with Product and Engineering teams to translate findings into consumer-facing features. Analytics practices & tooling - Use SQL, Python, Databricks, and BI tools to deliver analyses and reporting. - Build and maintain metric definitions, dashboards, and measurement frameworks. - Automate recurring analytical processes. - Communicate findings clearly to both technical and non-technical stakeholders. - Promote a data-driven product development culture across teams. REQUIRED SKILLS & EXPERIENCE - 3+ years of professional experience in data science, product analytics, or a related analytical discipline — with demonstrated experience influencing product decisions through data. - Strong proficiency in SQL and Python for data exploration, statistical analysis, automation, and predictive modeling. - Hands-on experience with Databricks for analytical workflows, data processing, or model development — required. - Proven experience designing, analyzing, and interpreting A/B tests, including statistical significance, power analysis, and common experimentation pitfalls. - Strong understanding of product analytics — funnel optimization, metric development, cohort analysis, and behavioral segmentation. - Working knowledge of applied statistics and machine learning techniques — regression, classification, propensity modeling, and/or causal inference. - Experience developing dashboards and automating analytical workflows using modern BI and data tools. - Excellent communication and collaboration skills — able to influence Product Managers, Engineers, and business stakeholders through data-backed recommendations. - Bachelor’s or advanced degree in Statistics, Mathematics, Economics, Computer Science, Engineering, or a related quantitative discipline, or equivalent practical experience. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Kyiv; Lviv Workplace: onsite Ajax Systems — міжнародна технологічна компанія і найбільший у Європі виробник охоронних систем. Продуктам Ajax довіряють уже понад 4,5 мільйони кінцевих користувачів і 330 тисяч PRO-користувачів у більш ніж 180 країнах. Компанія пропонує комплексні рішення для захисту житлових і комерційних об'єктів різного масштабу. Нині портфоліо Ajax налічує 280 пристроїв для захисту від вторгнення, відеоспостереження, пожежної безпеки та комфорту й автоматизації. Кожного року ми демонструємо кратне зростання як у чисельності команди, так і в кількості користувачів у всьому світі.    Ajax Systems має виробництво повного циклу: від генерації ідей та створення прототипів до масового виробництва та продажу по всьому світу. Кожен департамент закриває певну операційну потребу бізнесу в повній мірі. Фахівці компанії залучені на всіх етапах: від виробничої лінії в Україні до логістичного центру в Польщі, звідки продукцію відправляють дистрибʼюторам по всьому світу.   Зараз ми шукаємо Data QA Engineer (Middle) до команди Data Warehouse & Analytics, який допоможе побудувати системний підхід до тестування даних та забезпечити їхню якість на всіх етапах обробки — від джерел до фінальних аналітичних вітрин. Наша команда працює над розвитком корпоративної платформи даних на базі Databricks, інтеграцією даних із SAP, 1С та інших систем, підготовкою master data для впровадження SAP на міжнародних виробничих майданчиках, а також автоматизацією управлінської та аналітичної звітності. Це можливість долучитися до побудови процесів Data QA практично з нуля, впливати на підходи до тестування та розвивати автоматизацію перевірок якості даних. Основні обов'язки: Побудова та розвиток процесів тестування даних у команді Data Warehouse & Analytics. Тестування ETL/ELT-процесів та перевірка коректності передачі й трансформації даних із SAP, 1С та інших джерел до Databricks. Перевірка відповідності даних бізнес-вимогам на всіх етапах обробки: від source-систем до фінальних аналітичних вітрин. Проведення Data Validation та Source-to-Target Reconciliation для забезпечення точності, повноти й узгодженості даних. Перевірка бізнес-логіки трансформацій, правил обробки та збагачення даних. Виявлення дублів, пропущених записів, некоректних значень та інших аномалій у даних. Розробка та підтримка тест-кейсів, тестових сценаріїв і правил перевірки якості даних. Побудова та розвиток автоматизованого тестування даних, зокрема регресійних перевірок. Перевірка коректності даних після змін у data pipelines, структурах даних і бізнес-логіці. Участь у тестуванні процесів підготовки master data для впровадження SAP. Аналіз причин розбіжностей у даних та взаємодія з Data Engineers, Business Analysts і суміжними командами для їх усунення. Участь у вдосконаленні підходів до Data Quality та підвищенні надійності процесів обробки даних. Наші очікування: Від 2 років комерційного досвіду в Data QA, ETL QA, DWH QA або Software QA зі значним фокусом на тестуванні даних. Впевнене володіння SQL : самостійне написання запитів, робота з JOIN, CTE, фільтрацією, агрегацією та вибірками з декількох таблиць. Знання Python та розуміння можливостей його використання для тестування й автоматизації перевірок даних. Розуміння принципів Quality Engineering та практичних підходів до побудови процесів тестування. Розуміння ETL/ELT-процесів, архітектури Data Warehouse та життєвого циклу даних. Знання принципів Data Quality, Data Validation, Data Reconciliation та Data Governance. Досвід перевірки коректності трансформацій даних і відповідності результатів бізнес-вимогам. Розуміння принципів регресійного тестування та автоматизації тестових перевірок. Розвинені аналітичні навички, здатність самостійно розбиратися у складній бізнес-логіці та знаходити причини проблем із даними. Проактивність, системність, конструктивна комунікація та здатність організовувати роботу в умовах динамічних пріоритетів. Англійська мова на рівні від Intermediate для роботи з документацією та комунікації з міжнародними командами. Буде перевагою: Практичний досвід автоматизації Data Quality / Data Validation тестів. Досвід роботи з Databricks, PySpark, Spark . Досвід роботи з Python-based testing frameworks, pytest, Great Expectations, dbt tests, Soda або аналогічними інструментами. Досвід тестування інтеграцій SAP з DWH або іншими корпоративними платформами даних. Досвід побудови процесів тестування з нуля. Розуміння CI/CD та досвід інтеграції автоматизованих тестів у процеси розробки. Досвід роботи з великими обсягами даних і багатоджерельними інтеграціями. Досвід роботи з BI-рішеннями, зокрема Power BI. Що пропонуємо: Участь у масштабних міжнародних проєктах із розвитку корпоративної платформи даних. Можливість побудувати та розвивати напрям Data QA, впливаючи на інструменти й підходи до тестування. Роботу із сучасним технологічним стеком: Databricks, Python, SQL, PySpark. Співпрацю з командою Data Engineers, SAP-спеціалістів та бізнес-аналітиків. Можливість професійного розвитку на перетині Quality Engineering, Data Engineering та Business Analytics. Роботу в одному з наших комфортабельних офісів. Офіс облаштований генератором та укриттям. Офіційне працевлаштування зі стабільною оплатою та всіма гарантіями Дія Сіті резидента. Гнучкий графік. Компенсація навчання Заняття англійською. Медичне страхування. Комплект системи безпеки Ajax (участь у проєкті бета-тесту — отримання та тестування нових гаджетів до їх релізу). Драйвову команду та zero bullshit culture. Долучайтеся, щоб зробити Made in Ukraine синонімом надійності!

Ищем аналитика, который переводит бизнес-вопросы в аналитические задачи, а результаты в понятные рекомендации для руководства. • Считать и декомпозировать юнит-экономику: CAC, LTV, ARPU/ARPPU, маржинальность, окупаемость когорт;

• Опыт управления IT-проектами от 3 лет.