Вакансии

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 X 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 X 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

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

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

2+ года в аналитике. Будет плюсом опыт в риске, антифроде или расследованиях, сильный SQL и Python.

Location: Москва Перед нашей командой стоит амбициозная задача по реализации стратегии омниканального взаимодействия с клиентами в контексте продвижения продуктов Банка и Экосистемы. Цель – уйти от классических кампаний продаж и рекламы к клиентоцентричному взаимодействию. Мы хотим удовлетворять потребности клиента в комфортном для него режиме подходящими для его жизненной ситуации продуктами, а также минимизировать рекламное давление. Наш сложный и интересный проект находится на стыке бизнеса и ИТ. Ждем заряженных профессионалов, готовых создавать новый клиентский опыт. Обязанности * вести продуктовую аналитику: формулировать и отслеживать метрики успеха, анализировать воронки, проводить A/B-тесты и оценивать влияние изменений на ключевые показатели * принимать участие в проектировании и построении омниканального оптимизатора коммуникаций с клиентами * проводить исследование новых источников данных для улучшения качества работы оптимизатора * унифицировать, автоматизировать и развивать аналитические процессы команды * анализировать данные по клиентам и кампаниям, готовить Ad-Hoc отчеты, консультировать смежные команды. Требования * высшее образование: техническое или экономическое * опыт работы в качестве DA от 2 лет * уверенное знание SQL (оконные функции, умение читать план запроса и т.д.) * опыт использования Python для аналитики (библиотеки - pandas/ numpy/ matplotlib/ seaborn) * умение презентовать результаты своих исследований и объяснять сложные вещи простыми словами * умение проектировать эксперименты и интерпретировать результаты * знание основ статистики (методология оценки A/B-тестов, проверка гипотез) * навыки анализа большого массива данных Будет плюсом: * опыт работы с BigData-стеком (Hadoop, Spark, Hive), умение строить и оптимизировать пайплайны обработки больших данных * опыт работы на стыке Data Analytics и Data Science, опыт работы с моделями машинного обучения * опыт работы в BI инструментами (Tableau, Qlik и др.) * аналитическое мышление и умение систематизировать информацию * проактивность и самостоятельность в решении задач * умение работать со смежными командами, отстаивать интересы по своим задачам и место в бэклоге, контролировать выполнение поставленных задач. Условия * комфортный современный офис рядом с м. Кутузовская  * офисный формат работы * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха более 400 образовательных программ СберУниверситета для профессионального и карьерного развития  * программа адаптации и помощь руководителя на старте  * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа  * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких  * вознаграждение за рекомендацию друзей в команду Сбера.

Location: Jakarta Who are we? Tripledot Studios is one of the largest independent mobile games companies in the world. We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios. Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users. Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others. We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games. Our ambition is to be the most successful games company in the world, and we’re just getting started. The role is working within our studio: Ludios About Ludios Ludios takes its name from Latin; it means "The Game People". Led by Eyal, one of the co-founders of Tripledot Studios, and some of the most experienced people in mobile games, we are a studio that makes and publishes our own casual, free-to-play mobile games. Our team is based across APAC, with the majority of our development happening in Jakarta and Melbourne. We are data-driven, creative, and genuinely passionate about the industry we work in. Right now, we are working on a number of exciting projects, including one built around a globally recognised IP, alongside several original titles we are equally excited about. If crafting games and reaching millions of players is what gets you out of bed, we would love to hear from you. Role Overview The role focuses on driving user acquisition for mobile games by managing and optimising marketing campaigns across multiple channels. You’ll analyse performance, identify growth opportunities, collaborate with creative and product teams, and manage relationships with advertising partners like Google and Facebook. We’re looking for someone analytical, creative, proactive, and adaptable, with strong English communication skills and a data-driven mindset. Experience in digital advertising is a plus. Key Responsibilities Managing the user acquisition process for mobile games - Planning and execution of marketing campaigns. Overseeing marketing campaigns across multiple channels and platforms. Producing comprehensive reporting, analysis, and identifying new opportunities to support our key games. Experimenting and analyzing campaigns for existing and new games. Developing briefings for ad creatives and helping with the production of marketing materials. Managing business relationships and day-to-day communications with partners (such as Google and Facebook). Working closely with the product team to improve the game to help drive revenue. Required Skills, Knowledge and Expertise Analytical and metric-driven. Good communication skills in English (required to communicate in) Fast learner with the ability to be adaptable. Organised with close attention to detail Ability to work in a collaborative, fast-paced environment. Self-starter who takes initiative Creative minded Experience with digital advertising – a big plus! Working at Tripledot Hybrid Working 20 days of remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year. Regular company events and rewards: Join in regular events and rewards that celebrate cultural events, our achievements, and our team spirit. Breakfast & Lunch: Relish daily breakfast and lunch provided in the office to keep you fueled and focused. BPJS HEALTH: Elevate your well-being and peace of mind, ensuring robust health security with seamless enrolment in BPJS Health. BPJS SOCIAL: Secure your employment rights with BPJS Social. Festivity Allowance: Celebrate festive occasions with an additional festive allowance. Private Health Insurance: Stay covered with comprehensive health insurance for you and your loved ones. Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand. Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy] English Classes: Enhance your English skills with our provided English classes

Location: Remote Canada At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Risk & Analytics Team The Risk & Analytics (R&A) team makes crucial decisions that direct Affirm’s business strategy. We partner with Machine Learning, Product, Engineering, Capital Markets, and Commercial teams to grow Affirm responsibly by optimizing approval, conversion, losses, and profitability. Operating across the entire customer and merchant lifecycle, we tackle a diverse array of challenges, from optimizing checkout conversion and mitigating fraud risk to building scalable data foundations and enabling international growth. We analyze performance not just to report on it, but to determine where to invest resources for maximum impact through building tools, scalable data infrastructure, and analytical frameworks. We improve the analytics experience across Affirm by streamlining workflows and fostering a culture of learning and documentation. By taking ownership of the entire analytical lifecycle, from initial question to final business decision, we turn complex data and systems into clear, actionable signals that ensure Affirm grows efficiently and intelligently. One Role, Multiple Teams We are hiring multiple Senior Analyst roles across Affirm's Risk & Analytics organization through this single job posting. Rather than interviewing for one specific team, candidates will go through a shared interview process designed to assess the core skills we look for across R&A. If selected, we will work with you to determine the best team match based on your interests, experience, strengths, and current business needs. You will have the opportunity to learn more about our teams and share your preferences as you move through the process. Potential team placements include: Point of Sale (POS): Optimize merchant and checkout performance to improve conversion, approvals, and unit economics across the purchase funnel. Direct to Consumer (DTC) / Card: Drive engagement, repeat usage, and lifecycle health across Affirm's app, web, and card experiences. Fraud: Prevent and reduce fraud losses across the customer journey while maintaining a frictionless user experience. Core Analytics: Build the quantitative research, performance monitoring, and scalable data foundations that enable fast, economically sound decisions. Servicing: Enhance the post-origination customer experience by analyzing repayment behavior, collections strategies, and operational efficiency. International Expansion: Build the measurement and decision foundations needed to sustainably launch and scale Affirm in new global markets. About the Role As a Senior Analyst in Affirm's Risk & Analytics organization, you will join one of several analytical teams working across the customer and merchant lifecycle. While the specific problems you tackle will depend on your eventual team placement, all Senior Analyst roles share a common foundation: owning complex analytical problems end to end, translating data into business strategy, and influencing decisions across technical and non-technical teams. You will operate with autonomy to own the entire analytical lifecycle, from initial question to final business decision. You bring exceptional analytical rigor, deep domain expertise, and the ability to translate complex regulatory, economic, and machine learning insights into actionable business strategies. You thrive in ambiguity, balance growth with resilience, and are comfortable operating at both strategic and execution levels to influence stakeholders across the organization. What You Will Do Optimize End-to-End Strategy: Leverage advanced data analytics to independently derive insights, develop, and optimize business, risk, or growth strategies across products and geographies. Manage Macro & Market Trends: Monitor portfolio performance and exogenous macroeconomic trends, proactively adjusting analytical and operational strategies to mitigate risk and balance growth. Model & Capability Building: Partner deeply with Engineering and Machine Learning teams to design, build, and interpret performance metrics for scalable risk, fraud, or growth models. Cross-Functional Leadership: Collaborate closely with Product, Legal, and Compliance teams to interpret evolving regulatory and market requirements, translating them directly into analytical policy and product design recommendations. Oversee Frameworks & Launches: Oversee the development and execution of analytical frameworks. Drive cross-functional discussions to ensure new product launches and market entries align with risk appetite, operational capabilities, and local regulations. External & Strategic Alignment: Engage with external stakeholders, including merchants, vendors, and partners, to align practices, ensure compliance, and strengthen strategic relationships. AI Leverage & Mentorship: Build repeatable AI-assisted workflows that compound across the team's analyses, while mentoring junior analysts on technical craft and domain nuances. What We Look For 2–5 years of proven experience in an analytically driven role within the consumer lending, credit, or fintech industry, specifically leveraging advanced analytics to develop and optimize business strategies. Degree in Data Science, Computer Science, Engineering, Economics, or a related quantitative field. Advanced proficiency in SQL, Python, or other scripting languages. Deep expertise in data mining, data visualization, and statistical modeling, with experience applying machine learning techniques to business or risk management problems. Proven experience leading cross-functional initiatives that bridge Product, Legal, Compliance, and Engineering to align analytical strategies with business objectives. Strong understanding of consumer lending regulations, regional market dynamics, and the broader economic landscape influencing policy and growth. Demonstrated ability to translate complex regulatory and economic insights into actionable strategies. Exceptional communication skills with the ability to influence senior stakeholders across technical and non-technical functions. Pay Grade - K Equity Grade - 4 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). CAN base pay range per year: $112,000 - $172,000 This posting is for an existing vacancy. #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Built is looking for a Revenue Operations Analyst to improve revenue processes, analyze CRM and financial data, strengthen forecasting, and automate operational workflows.

Bitdeer is looking for a Billing Analyst to design pricing models, reconcile usage and invoices, and administer GPU-fault credits.

Bright Machines is looking for a trade analyst to manage IMMEX compliance, customs inventory controls, reconciliation, and audit readiness.

Location: Омск Ежедневно в Сбер поступают множество обращений от клиентов и наша задача предоставить им максимально комфортный сервис. Для этого нам необходимо осуществлять мониторинг операций и контролировать качество предоставления услуг. Мы работаем на базе GreenPlum(PostgreSQL) и Python, с библиотеками анализа Big data numpy, pandas и др. Обязанности * анализ данных и выявление ошибок в работе специалистов контактных центров Сбербанка * ad hoc аналитика по запросам * оптимизация процессов * разработка алгоритмов автоматизированного поиска ошибок * моделирование зависимости между данными, предложения новых методов оценки и контроля показателей. Требования * хорошее знание возможностей GreenPlum(PostgreSQL): оконные функции, вложенные запросы, оптимизация запросов, временные таблицы * знание Python и основных библиотек для анализа данных (numpy, pandas) * опыт работы с Git и Github, Bitbucket, Confluence, Jira * опыт разработки, либо пул собственных проектов (присылай ссылки) * опыт работы с ИИ-инструментами * Перед собеседованием повтори функции: megre, cumsum, transform, unstack, groupby, np.where, str.join, str.split, срезы. Условия * стабильный оклад и годовая премия * уникальная система обучения Сбера для карьерного развития и роста * расширенный полис ДМС с первого дня и льготное страхование для семьи * бесплатная подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * график работы, 5/2. Приходи! Ждем именно тебя!

Location: United States; Canada (BC & ON only) Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Financial Analyst, GTM to serve as the primary finance partner to our Sales, Marketing, and Customer Success leadership. This is a high-visibility, high-impact role sitting right at the center of GTM decisions, helping leadership decide where to invest, improve productivity, and drive predictable ARR growth. ABOUT THE ROLE: - Location: Remote-first (United States; BC & ON, Canada) - Full-time - Permanent - Exemption status: Exempt (US Only) - The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills. - United States (all figures cited below are in USD and pertain to workers in the United States) - Zone A: $112,000 - $135,000 - Zone B: $105,000 - $126,000 - Zone C: $98,300 - $118,000 - Canada (figures cited below are in CAD and pertain to workers in ON & BC, Canada) - $123,000 - $147,000 This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals. Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for an existing vacancy - Reporting to the Director of Corporate Finance As a Financial Analyst, GTM, you’ll: - Own the GTM expense plan and forecast, covering headcount and non-headcount spend, and turn it into executive-ready commentary for Sales, Marketing, and Customer Success leaders on variances, risks, and investment tradeoffs - Manage GTM headcount planning and capacity, including hiring plans, ratios such as quota-carrying reps to sales support, and attrition, and flag drift from targets before it affects the forecast - Reduce manual effort in planning by improving Workday and Adaptive Planning workflows, removing manual tagging, and setting materiality thresholds so non-headcount forecast updates focus on spend that moves the outlook - Own the single source of truth for ARR and ATR across our Sales and Self-Serve models, auditing the ARR in Salesforce and the data warehouse, documenting metric definitions, and resolving breaks with Revenue Operations, Data and/or Accounting - Run the monthly churn, renewal, and write-off review with GTM partners, preparing the analysis, root-cause commentary, and forecast implications leaders use to make decisions - Synthesize multi-source data from Salesforce, the data warehouse, Workday, and NetSuite into clear metrics, KPIs, and business narratives that inform GTM leadership decisions - Build working relationships across Finance, Accounting, Procurement, and GTM to drive alignment without formal authority, and automate recurring reporting with SQL, spreadsheets, and AI tools ABOUT YOU: Requirements: - BS / BA college degree in Finance, Accounting, Economics, or a related field, or relevant experience - 3+ years of experience in FP&A, corporate finance, investment banking, consulting, or public accounting; experience in SaaS or a subscription business is preferred - Strong proficiency in Excel or Google Sheets, including building models from raw data You’ll thrive as a Financial Analyst, GTM if you: - Have a working understanding of SaaS metrics such as ARR, NRR, GRR, churn, and renewals, and can trace them back to source data in Salesforce and the data warehouse - Enjoy partnering with Sales, Marketing, and Customer Success leaders and can explain financial results in plain terms to non-finance audiences - Notice manual work and fix it, whether with SQL, spreadsheet automation, or AI tools - Bring accounting fluency, including accruals and the monthly close; a CPA and a Big 4 background is preferred - Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Stipends to support our distributed team. Localized support for cell, Wi-Fi, and WFH expenses to help you settle into your best remote life. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

В команду листинга (сервис коммерциализации товаров) мы ищем аналитика, который будет работать на всех этапах жизненного цикла продукта: от сбора и валидации требований до приемочного тестирования и сопровождения внедренных решений. ● Опыт самостоятельного ведения задачи от бизнес-требований до релиза.

Bitdeer is looking for a billing analyst to reconcile usage data, maintain pricing models, issue service credits, and resolve billing disputes.

EDX is looking for a Market Operations Analyst to monitor market health, support Members, validate changes, and improve platform operations.

Задачи: — Сотрудничество с бизнес-стейкхолдерами для понимания их потребностей и требований — Анализ и документирование бизнес-процессов, рабочих процессов и функциональностей систем — Проектирование и предложение технических решений, соответствующих бизнес-целям и технологической стратегии FxPro — Разработка подробных системных спецификаций, диаграмм и блок-схем для руководства разработчиками — Тесное взаимодействие с командами разработки для контроля реализации системных решений — Обеспечение бесшовной интеграции новых систем с существующей инфраструктурой и платформами Требования: — Опыт работы не менее 5 лет на аналогичной позиции, из них 2 года в мобильных командах — Экспертиза в анализе и документировании требований для мобильных и веб-приложений — Опыт создания подробных системных спецификаций, вайрфреймов, диаграмм и блок-схем — Навыки работы с RESTful API, Async API (WebSocket, Kafka и др.) и интеграции сторонних API — Понимание принципов UX/UI дизайна — Владение созданием комплексной технической документации — Знание адаптивного дизайна и архитектуры систем — Сильные навыки решения проблем и устранения неполадок — Отличные устные и письменные коммуникативные навыки — Способность к сотрудничеству и работе в команде — Аналитическое мышление и навыки анализа данных — Адаптивность к изменяющимся бизнес-требованиям — Желательно глубокое знание торговых систем — Знание отраслевых стандартов и требований регуляторов будет плюсом — Свободное владение английским языком, знание русского — преимущество Условия: — Помощь с релокацией на Кипр (Лимассол): визовая поддержка, бонус на релокацию — Отличный компенсационный пакет — Медицинская и страхование жизни — Пенсионный фонд — Собственный спортзал с персональным тренером — Бесплатный ежедневный обед, закуски и напитки — Корпоративная дисконтная карта на различные товары и услуги — 50% скидка на языковые курсы с репетитором — 21 день ежегодного отпуска и 10 дней больничного в год — Трансфер из Лимассола — Программа сертификатов на день рождения

Ищу специалиста, который умеет улучшать внутренние бизнес-процессы и доводить изменения до внедрения. — от 3 лет в бизнес-анализе или улучшении процессов;