Аналитика вакансии

Выяснять потребности бизнес-заказчиков и анализировать текущие процессы.

Location: United States Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We're looking for a Sr. Data Analyst, Compliance to join our team remotely! The primary goal of this role is to elevate decision-making by uncovering emerging trends and root causes, and by driving insights and actions that provide full visibility into business performance and operational efficiency. Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with strategic thinking to deliver actionable recommendations, guide decision-making, and drive measurable impact across the organization. In this role, you'll own end-to-end data management, from building and maintaining datasets and pipelines to designing dashboards and delivering insights for the Compliance team. A core part of this role is owning the logic and rule-setting behind transaction monitoring across deposits and withdrawals. You'll also contribute to experimentation infrastructure, laying the groundwork for future ML and intelligence initiatives.   THE OPPORTUNITY - Own the logic and rule-setting behind transaction monitoring across deposits and withdrawals, partnering closely with Compliance to study patterns and refine detection logic - Translate compliance requirements into production detection logic, preserving correctness across alert eligibility, thresholds, customer segmentation, date windows, and deduplication - Develop and maintain Python and SQL pipelines for transaction data preparation, feature engineering, and detection workflows - Evaluate detection rules and analytical models across coverage, alert quality, threshold sensitivity, and the impact of proposed changes - Design reproducible evaluations on historical data that account for limited labels, class imbalance, and shifts in customer behaviour over time - Own testing, deployment, scheduling, monitoring, and operational support for detection workflows, including investigating data quality issues, pipeline failures, and unexpected changes in detection results - Execute historical backfills with clear validation and traceability, and maintain reliable downstream alert delivery and integrations with compliance systems - Be at the forefront of data innovation by experimenting, testing hypotheses, and translating insights into action, while incorporating software engineering best practices into pipelines and dashboards.   WHAT YOU BRING - 7+ years of experience in data analysis, data science, and data management within the fintech, crypto, financial services, or gambling industry, gained in a fast-paced, high-growth environment - Experience working with compliance, fraud, funding, finance, and customer support teams and analyzing large datasets, engineering features, and applying statistical methods to practical business problems - Strong Python and SQL skills, with experience building and supporting production data or analytical systems - Hands-on experience using dbt or similar tooling to model and organize high-fidelity data for reporting and decision-making - Experience setting up and managing data pipelines with a strong understanding of workflow orchestration, plus strong software engineering practices including version control, automated testing, code review, and CI/CD - Solid statistical foundation; ML exposure is a strong plus - Proficiency with BI and data visualization tools (e.g., Hex, Tableau, Power BI, or similar) to build executive-facing dashboards - Ability to investigate production issues independently and communicate technical findings and uncertainty to non-technical stakeholders - You believe wholeheartedly in the values outlined in Kraken's Tentaclements document - A degree in a field emphasizing analytical rigor, such as analytics, software engineering, statistics, or economics - Based in Canada, the US, or Brazil, and fluent in English   NICE TO HAVES - Fraud detection, AML, anomaly detection, or other risk applications - Experience with Athena, Trino, Kafka, and Kubernetes alongside the core Airflow/dbt/S3 stack - Transaction pattern analysis, customer segmentation, and detection threshold tuning - Developing or productionising machine learning models, including experiment tracking and performance monitoring - Working with sparse or delayed feedback from investigations to evaluate and improve detection - Explainability, auditability, and change control in regulated environments Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Canada; Brazil Workplace: Remote BUILDING THE FUTURE OF OPEN FINANCE Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system. THE TEAM Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.   We're looking for a Sr. Data Analyst, Compliance to join our team remotely! The primary goal of this role is to elevate decision-making by uncovering emerging trends and root causes, and by driving insights and actions that provide full visibility into business performance and operational efficiency. Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with strategic thinking to deliver actionable recommendations, guide decision-making, and drive measurable impact across the organization. In this role, you'll own end-to-end data management, from building and maintaining datasets and pipelines to designing dashboards and delivering insights for the Compliance team. A core part of this role is owning the logic and rule-setting behind transaction monitoring across deposits and withdrawals. You'll also contribute to experimentation infrastructure, laying the groundwork for future ML and intelligence initiatives.   THE OPPORTUNITY - Own the logic and rule-setting behind transaction monitoring across deposits and withdrawals, partnering closely with Compliance to study patterns and refine detection logic - Translate compliance requirements into production detection logic, preserving correctness across alert eligibility, thresholds, customer segmentation, date windows, and deduplication - Develop and maintain Python and SQL pipelines for transaction data preparation, feature engineering, and detection workflows - Evaluate detection rules and analytical models across coverage, alert quality, threshold sensitivity, and the impact of proposed changes - Design reproducible evaluations on historical data that account for limited labels, class imbalance, and shifts in customer behaviour over time - Own testing, deployment, scheduling, monitoring, and operational support for detection workflows, including investigating data quality issues, pipeline failures, and unexpected changes in detection results - Execute historical backfills with clear validation and traceability, and maintain reliable downstream alert delivery and integrations with compliance systems - Be at the forefront of data innovation by experimenting, testing hypotheses, and translating insights into action, while incorporating software engineering best practices into pipelines and dashboards.   WHAT YOU BRING - 7+ years of experience in data analysis, data science, and data management within the fintech, crypto, financial services, or gambling industry, gained in a fast-paced, high-growth environment - Experience working with compliance, fraud, funding, finance, and customer support teams and analyzing large datasets, engineering features, and applying statistical methods to practical business problems - Strong Python and SQL skills, with experience building and supporting production data or analytical systems - Hands-on experience using dbt or similar tooling to model and organize high-fidelity data for reporting and decision-making - Experience setting up and managing data pipelines with a strong understanding of workflow orchestration, plus strong software engineering practices including version control, automated testing, code review, and CI/CD - Solid statistical foundation; ML exposure is a strong plus - Proficiency with BI and data visualization tools (e.g., Hex, Tableau, Power BI, or similar) to build executive-facing dashboards - Ability to investigate production issues independently and communicate technical findings and uncertainty to non-technical stakeholders - You believe wholeheartedly in the values outlined in Kraken's Tentaclements document - A degree in a field emphasizing analytical rigor, such as analytics, software engineering, statistics, or economics - Based in Canada, the US, or Brazil, and fluent in English   NICE TO HAVES - Fraud detection, AML, anomaly detection, or other risk applications - Experience with Athena, Trino, Kafka, and Kubernetes alongside the core Airflow/dbt/S3 stack - Transaction pattern analysis, customer segmentation, and detection threshold tuning - Developing or productionising machine learning models, including experiment tracking and performance monitoring - Working with sparse or delayed feedback from investigations to evaluate and improve detection - Explainability, auditability, and change control in regulated environments Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. OUR COMMITMENT Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto. We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws. Stay connected Follow us on Twitter https://twitter.com/krakenfx Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/ Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice

Location: Mumbai, India Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. About the role   As a Billing Analyst in our Finance team, you will keep Aleph’s client billing accurate and on time. You will work in SAP across invoicing, accounts receivable (AR) operations, reconciliation and financial reporting, including month-end close. What You Will Do Prepare, verify and issue client invoices accurately and on schedule, including during high-volume billing cycles. Review bills and billing data before processing to confirm they are complete and correct. Resolve complex billing issues using the Dispute application in SAP. Post bank receipt entries in the books of account and apply them to customer accounts in SAP, making sure all bank offset accounts and bank-in-transit items are cleared on a weekly basis. Reconcile customer accounts and receivables. Review, monitor and control the accrued revenue balance to ensure that all accruals are settled. Support month-end closing for the billing group and prepare billing and AR financial reports. Respond to client queries and revise invoices when needed; send hard-copy invoices and Release Orders (ROs) to clients where required. Apply basic tax knowledge when preparing invoices and reconciling accounts, in line with local requirements. Support internal and external auditors with billing data, documentation and bill verification, and liaise with other stakeholders as needed. Follow billing procedures and quality checks, and suggest practical improvements to how we bill and reconcile. What We Are Looking For Bachelor’s degree in Finance, Accounting, Commerce, Business Administration or a related field. 4–5 years of relevant experience in billing, accounts receivable or finance operations. At least 2 years of hands-on SAP experience (any version, for example SAP ECC or S/4HANA). Strong accounting fundamentals, including reconciliations, accruals and month-end close. Basic tax knowledge (a tax specialist background is not needed). Ability to handle large-volume invoicing with accuracy and attention to detail. Basic English proficiency Flexibility to work across time zones and to put in extended hours during seasonal peaks. Professional certifications (for example CPA or CFA) are not required. Nice to have: prior experience in the media or advertising industry; an MBA in Finance. Why Join Aleph Impact: Your work keeps billing and revenue flowing for partnerships that help platforms like TikTok, Amazon and Google grow advertising in 130+ markets. Growth: We give our internal talent room to grow and learn together; this role builds depth in SAP, AR operations, accrual control and month-end close. Team culture: Aleph is a place of many cultures, perspectives and talents, where people support each other and value open communication and partnership. Market context: Digital advertising changes fast, and our finance team sits at the centre of a global, multi-market business. You will join a market with a deep finance and shared-services talent community. Curiosity welcome: We stay flexible and adaptable, move with the speed of change, and encourage everyone to keep learning and seeking out new opportunities. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Location: Manila, Philippines Workplace: hybrid Are you ready to join our digital revolution journey?    At Aleph, we’re not just part of the digital advertising landscape—we’re shaping its future. Representing the world’s leading platforms, including TikTok, Amazon, Google, and nearly 55 others, we operate in 130+ markets across new and existing geographies.   Our mission is to empower advertisers and brands to unlock the full potential of these platforms' advertising capabilities. By fostering long-lasting partnerships, we create limitless opportunities for people and businesses to advertise effectively at both local and global levels.   With a presence spanning continents, Aleph offers you the chance to be part of a fast-growing, innovative team where your work makes a direct impact. If you’re ambitious, forward-thinking, and eager to thrive in a dynamic, global environment, Aleph is the perfect place to build your career. About the role   As a Billing Analyst in our Finance team, you will keep Aleph’s client billing accurate and on time. You will work in SAP across invoicing, accounts receivable (AR) operations, reconciliation and financial reporting, including month-end close. What You Will Do Prepare, verify and issue client invoices accurately and on schedule, including during high-volume billing cycles. Review bills and billing data before processing to confirm they are complete and correct. Resolve complex billing issues using the Dispute application in SAP. Post bank receipt entries in the books of account and apply them to customer accounts in SAP, making sure all bank offset accounts and bank-in-transit items are cleared on a weekly basis. Reconcile customer accounts and receivables. Review, monitor and control the accrued revenue balance to ensure that all accruals are settled. Support month-end closing for the billing group and prepare billing and AR financial reports. Respond to client queries and revise invoices when needed; send hard-copy invoices and Release Orders (ROs) to clients where required. Apply basic tax knowledge when preparing invoices and reconciling accounts, in line with local requirements. Support internal and external auditors with billing data, documentation and bill verification, and liaise with other stakeholders as needed. Follow billing procedures and quality checks, and suggest practical improvements to how we bill and reconcile. What We Are Looking For Bachelor’s degree in Finance, Accounting, Commerce, Business Administration or a related field. 4–5 years of relevant experience in billing, accounts receivable or finance operations. At least 2 years of hands-on SAP experience (any version, for example SAP ECC or S/4HANA). Strong accounting fundamentals, including reconciliations, accruals and month-end close. Basic tax knowledge (a tax specialist background is not needed). Ability to handle large-volume invoicing with accuracy and attention to detail. Basic English proficiency Flexibility to work across time zones and to put in extended hours during seasonal peaks. Professional certifications (for example CPA or CFA) are not required. Nice to have: prior experience in the media or advertising industry; an MBA in Finance. Why Join Aleph Impact: Your work keeps billing and revenue flowing for partnerships that help platforms like TikTok, Amazon and Google grow advertising in 130+ markets. Growth: We give our internal talent room to grow and learn together; this role builds depth in SAP, AR operations, accrual control and month-end close. Team culture: Aleph is a place of many cultures, perspectives and talents, where people support each other and value open communication and partnership. Market context: Digital advertising changes fast, and our finance team sits at the centre of a global, multi-market business. You will join a market with a deep finance and shared-services talent community. Curiosity welcome: We stay flexible and adaptable, move with the speed of change, and encourage everyone to keep learning and seeking out new opportunities. Why Join Us?   Aleph is a place of many cultures, perspectives, and talents. We support each other, creating an environment of giving and receiving. We value partnership and communication because we believe it takes a group of people to achieve great things. We are energized by our ever-changing industry, our curiosity keeps us learning and seeking out new opportunities.     We stay flexible and adaptable, and believe in moving with the speed of change. We encourage everyone to strive for more, providing our internal talent with growth opportunities and the ability to learn together.    #ALEPH

Обязанности: анализ эффективности платного трафика, инфлюенсеров и органики; проверка гипотез роста;

Задачи: — Анализ бизнес-данных из различных источников

Ищу сильного специалиста уровня Senior/Lead для построения аналитической инфраструктуры с нуля. • 6+ лет опыта в Data Analytics, Analytics Engineering или BI Architecture.

Фокус роли - разобраться, как устроены рабочие процессы компании, найти, что можно упростить или улучшить, и предложить варианты автоматизации. - разбираться, как устроены процессы в разных подразделениях компании.

Ищем Product Analyst в AI-продукт по подписочной модели — сервис для общения с AI-персонажами. Нам нужен аналитик, который поможет развивать продуктовую и маркетинговую аналитику, находить точки роста и превращать данные в решения, влияющие на retention, монетизацию и прибыльность продукта.

Разработка дашбордов и алертов, включая рефакторинг и оптимизацию.

Участвовать в проектах внедрения систем 1С на крупных и средних предприятиях страны, в качестве аналитика-консультанта по блоку "Регламентированный учет". - Определять требования и анализировать бизнес-процессы Заказчиков;

Задачи: — Мониторинг платёжных транзакций, конверсии и проходимости по провайдерам и методам; — Выявление причин падения конверсии, анализ отклонений и проблемных участков платёжного флоу; — Переключение платёжных каналов и перераспределение трафика между провайдерами; — Контроль доступности платёжных методов и оперативное реагирование на инциденты; — Взаимодействие с провайдерами и технической командой для устранения проблем; — Анализ эффективности платёжных маршрутов и подготовка предложений по улучшению конверсии; — Ведение отчётности и работа с дашбордами мониторинга. Требования: — Опыт работы в платежах, процессинге, платёжных операциях или технической поддержке платёжных решений от 1 года; — Понимание жизненного цикла платёжных транзакций и причин возникновения отказов; — Опыт мониторинга платёжной конверсии и расследования инцидентов; — Понимание принципов роутинга, каскадов и распределения платёжного трафика; — Аналитическое мышление и умение оперативно принимать решения; — Английский язык для взаимодействия с провайдерами. Будет преимуществом: опыт работы в high-risk / iGaming, знание платёжных методов LATAM, навыки работы с SQL, Google Sheets и аналитическими дашбордами. Условия: — Возможности для профессионального развития и карьерного роста; — Конкурентная заработная плата, обсуждаем индивидуально; — Удалённый формат работы или комфортный офис в Москве; — График 5/2, 8-часовой рабочий день с гибким началом; — Поддержка и адаптация на старте.

Вам предстоит Собирать и формализовать требования от бизнес-заказчиков, проектировать логику метрик и согласовывать методологию расчетов; Полный цикл создания BI отчетности: от поиска и валидации источников данных с последующей подготовкой аналитической витрины до создания дашборда;

— Важен опыт с интеграцией МИС (идеально, если есть опыт с МИС Диалог). — Важен опыт с интеграцией Яндекс Доставка.

Анализировать ключевые показатели бизнеса: GMV, выручку, маржинальность, СПП, ассортимент, эффективность продавцов и другие коммерческие метрики; Самостоятельно работать с базами данных, делать кастомные выгрузки;

-Участие в сложных проектах комплексной автоматизации предприятий. -Знаете, как проводить интервьюирование заказчика, структурировать полученную информацию при описании текущих бизнес-процессов компании.

4–6+ лет в продуктовой аналитике subscription-продуктов (воронка, онбординг, пейвол, конверсия). Важен опыт в международных мобильных и веб-продуктов в edtech, health & fitness, wellness, productivity, consumer AI или HR-tech (Duolingo, Skyeng, Praktika, Headspace, Calm, Flo, BetterMe, Simple и аналогичные).