Вакансии

Location: Worldwide Workplace: remote RequirementsBusiness Analysis: At least 2 years of experience as a Business Analyst, gathering, analysing and documenting business requirements to ensure business needs are translated into clear implementation requirements.Requirements Management: Experience in documenting business processes, user journeys, functional and non-functional requirements, preparing user stories, acceptance criteria and technical documentation to support the full delivery lifecycle.Process Modelling & Collaboration Tools: Working knowledge of BPMN, UML, Jira, Confluence, Miro and Figma (reviewing designs, documenting interface logic and collaborating with designers) to support solution design and delivery.Data Analysis: Experience with Metabase or other BI tools, validating data and metrics, and defining requirements for reports and dashboards to support data-driven decision-making. Basic SQL knowledge is an advantage.AI: Experience using AI tools in day-to-day work, understanding the capabilities and limitations of AI solutions, and identifying opportunities to automate business processes.Software Delivery: Understanding of SDLC and Agile ways of working to collaborate effectively with development teams throughout the delivery lifecycle.Communication: Strong analytical and communication skills, with the ability to work effectively with cross-functional stakeholders. Upper-Intermediate (B2) level of English or higher is considered an advantage.ResponsibilitiesGather, analyse and document business requirements from internal stakeholders to ensure solutions meet business needs.Analyse and optimise HR processes, identify opportunities for automation, and define requirements for new functionality.Prepare user stories, acceptance criteria, technical specifications and other project documentation to support solution delivery.Break down business requirements into development tasks and support implementation from discovery through to release and post-launch support.Define requirements for reports and dashboards, validate data and metrics in Metabase, and ensure the accuracy of reporting.Explore opportunities to apply AI to internal processes, define requirements for AI-enabled functionality, participate in solution validation, and collaborate with HR, developers, designers, analysts and other stakeholders to deliver effective business solutions.What we offerHigh salary (plus performance bonuses and salary revision);Remote work;Work schedule: Mon-Fri (8 hours per day) with flexible starting hours;24 days holiday leave;Corporate English lessons;Exciting work challenges that allow you to grow to your full potential;A strong team of like-minded professionals who will be by your side to accomplish ambitious projects, stimulate your professional development and bring experience.

About the company: Plurio builds AI agents for performance marketing, automating analysis and optimization for media buying teams managing $300K–$15M/month on Google, Meta, and TikTok. Their AI agents handle budget allocation, creative management, and automation rules based on historical data and ML models, managing over $500M/year in ad spend. The Role: The Senior Marketing Analyst owns marketing attribution and measurement, ensuring trustworthy and explainable performance metrics across channels with complex attribution models (first/last/multi-touch, custom windows, LTV-driven funnels). Responsibilities include cross-channel and funnel analysis integrating paid media, on-site behavior, CRM, and backend revenue to diagnose funnel leaks and unit economics issues. The role requires deep understanding of paid-channel analytics on Meta and Google platforms to inform reallocation and optimization decisions. The analyst builds AI-driven analytical workflows using AI agents (Claude Code, Cursor, Codex) to automate data preparation and analysis, designs repeatable pipelines, and creates clear dashboards and reports (Power BI, Looker, Tableau) with real-time anomaly detection. The analyst collaborates with product, data, and engineering teams to align analytical models with product development. Requirements: Excellent SQL skills with ability to write, debug, and optimize complex queries and teach AI agents to do so. Proven experience in marketing analytics and performance marketing, including attribution and management of Meta and Google Ads. Hands-on experience with AI coding agents to build workflows and automations. Systemic thinking focused on repeatable pipelines and automated analysis. Proficiency with Git for version control of queries and workflows. Strong communication skills to translate data into actionable decisions. Professional-level English and reliable overlap with US business hours. Preferred: Python for analysis beyond SQL, experience with dbt, modern data warehouses (BigQuery, Snowflake), ETL/pipeline work, web/measurement tools (GA4, GTM, server-side tracking), experience with complex funnels and LTV-driven models in sectors like EdTech, FinTech, Consumer Apps, B2C SaaS, Healthcare, Home Services. Independent project ownership and public samples of work. Red Flags: Creating dashboards without marketing or attribution understanding, SQL only via drag-and-drop BI tools, using AI agents only as chat without workflow building, theoretical marketing analytics without hands-on Meta/Google Ads experience. What to Expect: Competitive compensation aligned with senior experience, AI-first culture with advanced tooling, significant impact on client outcomes and AI product, remote work with US-hours overlap. Hiring Process: Application with CV and short answers, intro call, technical interview on SQL and marketing analytics, final culture fit conversation, paid trial period, then offer. How to Apply: Fill out the application form at the provided link; no cover letter required.

Задачи: — превращать продуктовые данные в инсайты — проводить глубокий анализ данных — владеть ключевыми показателями эффективности (KPI) — разрабатывать и поддерживать системы измерения, которые формируют стратегию продукта по автострахованию Используемые технологии: SQL, BigQuery, GA4, Amplitude, Tableau, Looker Studio Условия: — полностью удалённая работа

Location: Dhahran, Saudi Arabia; Al Khobar, Saudi Arabia; Riyadh, Saudi Arabia; Al Jubail, Saudi Arabia; Al Hofuf, Saudi Arabia We are seeking a Media News Analyst to join our team for a Saudi Aramco project in Dhahran, Saudi Arabia. The successful candidate will be responsible for monitoring and analyzing media coverage across digital, social, and broadcast platforms, preparing media intelligence reports, and supporting media relations and crisis communication activities. The ideal candidate should have strong analytical skills, excellent communication abilities in both English and Arabic, and experience in media monitoring or journalism. Key Responsibilities Monitor online, social media, broadcast, and digital news channels for relevant media coverage. Analyze media content and identify critical news based on established guidelines. Respond to media-related inquiries and maintain accurate records for tracking and follow-up. Prepare daily, weekly, monthly, and quarterly media monitoring and impact reports. Utilize media monitoring platforms to track news trends and public sentiment. Coordinate with Media Relations and internal stakeholders to ensure timely communication. Support crisis communication activities by monitoring developments and providing media intelligence. Maintain accurate documentation and ensure timely dissemination of media updates. Requirements Bachelor's degree in Mass Communications, Media, Journalism, Public Relations, Corporate Communications, or a related field. Minimum 2 year of professional experience in media monitoring, journalism, public relations, or communications. Proficiency in English and Arabic (written and spoken). Experience using media monitoring tools and analyzing news trends. Strong analytical, reporting, and communication skills. Ability to work on a rotating 8-hour shift schedule . Proficient in Microsoft Office (Excel, Word, PowerPoint).

Location: Paris Workplace: Hybrid ABOUT VOODOO Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz. TEAM The Engineering & Data team builds innovative tech products and platforms to support the growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. The team plays a key role in Voodoo’s long-term strategy by accelerating product diversification and providing a state of the art growth-engine to distribute and scale our games. We are looking for a Senior Data Analyst who thrives on transforming data into actionable insights, supporting strategic decisions, and collaborating closely with stakeholders to fuel growth. By joining this team, you will directly shape Voodoo’s marketing and monetization strategies, helping our apps reach and engage hundreds of millions of users worldwide. ROLE We’re looking for a Senior Data Analyst to join our Engineering & Data team. The objective of this team is to accelerate the growth of the company by serving as the on-demand prediction provider for all Voodoo BUs. This involves addressing critical needs such as predicting campaign LTV for User Acquisition optimization, determining optimal monetization offers for millions of players or constructing confidence intervals for time series data prediction. We want to onboard a passionate data analyst with significant experience in a similar environment to allow us to go one step further. This is an opportunity to have a strategic and critical impact on Voodoo’s success. This position is hybrid and requires 3 days per week in the office based in Paris. - Design, build and monitor data models & dashboards to track business metrics - Work with cross-functional teams to identify key business needs and solve them using adequate statistical models - Thoroughly document your results and offer onboarding and continuous training to help teams effectively utilize data and insights. - Establish data quality processes to ensure the reliability and accuracy of our machine learning models. - Promote data literacy within the organization and serve as the primary point of contact for all data-related inquiries and support. - Demonstrate excellent communication skills to efficiently manage senior stakeholders within a fast-paced scale-up environment. - Work closely with the central data team to source additional data and enhance data management practices PROFILE - At least 4 years' experience in Data Analysis - Proficient with SQL and/or Python, with a proven experience working with large and complex data sets. - Autonomous person with a strong analytical mindset, problem-solving skills and strong attention to detail. - Experience with statistical modeling & predictive analytics - Excellent verbal & written communication abilities - Experience building dashboards with Tableau. - Experience in gaming industry or mobile marketing is a plus - Any personal or professional experience with machine learning will be valued OUR STACK SQL; Python; DBT; AWS; Tableau BENEFITS - Competitive salary based on experience - Swile Lunch voucher - Gymlib (100% covered by Voodoo) - Premium healthcare coverage with SideCare, 100% covered for you and your family - Wellness activities in our Paris office - Remote Fridays

Location: Limassol, Cyprus RequirementsBusiness Analysis: At least 2 years of experience as a Business Analyst, gathering, analysing and documenting business requirements to ensure business needs are translated into clear implementation requirements.Requirements Management: Experience in documenting business processes, user journeys, functional and non-functional requirements, preparing user stories, acceptance criteria and technical documentation to support the full delivery lifecycle.Process Modelling & Collaboration Tools: Working knowledge of BPMN, UML, Jira, Confluence, Miro and Figma (reviewing designs, documenting interface logic and collaborating with designers) to support solution design and delivery.Data Analysis: Experience with Metabase or other BI tools, validating data and metrics, and defining requirements for reports and dashboards to support data-driven decision-making. Basic SQL knowledge is an advantage.AI: Experience using AI tools in day-to-day work, understanding the capabilities and limitations of AI solutions, and identifying opportunities to automate business processes.Software Delivery: Understanding of SDLC and Agile ways of working to collaborate effectively with development teams throughout the delivery lifecycle.Communication: Strong analytical and communication skills, with the ability to work effectively with cross-functional stakeholders. Upper-Intermediate (B2) level of English or higher is considered an advantage.ResponsibilitiesGather, analyse and document business requirements from internal stakeholders to ensure solutions meet business needs.Analyse and optimise HR processes, identify opportunities for automation, and define requirements for new functionality.Prepare user stories, acceptance criteria, technical specifications and other project documentation to support solution delivery.Break down business requirements into development tasks and support implementation from discovery through to release and post-launch support.Define requirements for reports and dashboards, validate data and metrics in Metabase, and ensure the accuracy of reporting.Explore opportunities to apply AI to internal processes, define requirements for AI-enabled functionality, participate in solution validation, and collaborate with HR, developers, designers, analysts and other stakeholders to deliver effective business solutions.What we offerHigh salary (plus performance bonuses and salary revision);Work schedule: Mon-Fri (9h with 1h lunch break), flexible start 8:00-10:00;24-days holiday leave;First line seaview from your office;Corporate English and Greek lessons;GYM and SPA in the office;Corporate meals;Eventful corporate life;Exciting work challenges that allow you to grow to your full potential;Strong team of like minded professionals who will be by your side to accomplish ambitious projects, and to stimulate your professional development and bring experience.

Задачи: — Сбор и уточнение требований от бизнес‑стейкхолдеров, формирование backlog‑элементов; — Моделирование бизнес‑процессов и их трансляция в архитектуру смарт‑контрактов; — Оценка влияния изменений на газовые расходы, безопасность и совместимость с существующей инфраструктурой; — Подготовка полной технической документации (спецификации, схемы взаимодействия, пользовательские сценарии). Требования: — Опыт работы аналитиком от 5 лет; — Опыт работы с блокчейн, Ethereum обязателен; — Опыт проектирования интеграций (API, брокеры, шина); — Понимание особенностей разработки web-проектов на микросервисной архитектуре. Условия: — Ежегодный оплачиваемый отпуск, больничные дни; — З/п вилка выше рыночной; — ДМС с первой недели работы; — Скидки и бонусы: кино, фитнес, изучение английского языка; — Компенсация обучения, курсов.

Location: United States; Canada Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 We're looking for a Staff Analyst, GTM Revenue to help our go-to-market leaders make sharper, faster decisions across revenue-critical motions. In this role, you'll partner across Sales, Customer Success, and adjacent customer-facing teams to turn complex data into practical insight, improve how teams operate, and identify where AI and automation can create real leverage.   This is a high-impact opportunity for an analytically rigorous operator who can move comfortably between deep analysis, business partnership, and hands-on execution. You'll help leaders understand what's working, where friction is slowing growth, and how to translate data into better decisions around pipeline, segmentation, productivity, retention, and overall GTM performance.   Mission Drive clearer, faster, and more scalable GTM decision-making by turning data into actionable insight, operational improvements, and AI-enabled workflows that improve revenue performance and customer outcomes.   The Role - Partner with GTM leaders to frame business questions, prioritize high-impact analyses, and translate findings into practical recommendations. - Build and maintain dashboards, reporting layers, and analytical workflows that give stakeholders clear visibility into performance across Sales, Customer Success, and related customer-facing motions. - Analyze pipeline health, segmentation, conversion, retention, and productivity trends to identify opportunities for growth, efficiency, and better resource allocation. - Develop forecasting, scenario-planning, and decision-support models that help leaders understand performance drivers and act with confidence. - Use SQL, Python, and modern analytics tooling to extract, shape, and analyze large datasets from multiple systems. - Identify repetitive or manual workflows that can be improved through automation or AI-assisted analysis, and help bring those solutions into day-to-day GTM operations. - Collaborate cross-functionally with partners in Finance, Operations, Systems, and customer-facing teams to ensure data definitions, reporting logic, and recommendations are aligned to business needs. - Present insights in a concise, executive-ready way, tailoring the level of detail to both technical and non-technical audiences.   Qualifications - 5+ years of experience in analytics, strategy & operations, revenue operations, business intelligence, or a similar role supporting go-to-market teams. - Advanced proficiency in SQL and Python, with strong judgment around how to use each for analysis, automation, and scalable reporting. - Strong experience building dashboards, analytical models, and KPI frameworks that influence business decisions. - Demonstrated success supporting Sales, Customer Success, Revenue Operations, or comparable GTM functions in a SaaS or other fast-moving technology environment. - Strong business acumen with the ability to connect data trends to customer, commercial, and operational outcomes. - Excellent communication skills, including the ability to simplify complex analysis and influence cross-functional stakeholders. - Proven ability to work independently in ambiguous environments, manage multiple priorities, and deliver high-quality work with speed and reliability.   Desirable - Experience applying AI or machine learning to business problems such as segmentation, prioritization, forecasting support, or workflow automation. - Familiarity with modern BI and visualization tools such as Looker, Tableau, or similar platforms. - Experience working in a high-growth, multi-motion SaaS business where GTM teams need both strategic insight and operational rigor. - Comfort partnering with senior leaders on ambiguous questions that require both analytical depth and strong business judgment. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Raanana, Center District, Israel Workplace: on-site At TechBiz Global, we provide recruitment services to top clients from our portfolio. We are currently looking for a Data Analyst to join one of our client’s team. We are looking for a brilliant Data Analyst who wants to do real research . This is a brand-new role in a growing team, meaning you will have a direct impact on how our data models evolve. In this role, you won't build dashboards. You will work hands-on with complex datasets to design, test, and iterate on advanced logic flows. You’ll be responsible for identifying key behaviors and events, continuously improving data quality, and turning raw data into high-value strategic conclusions. Requirements: 3–5 years of proven experience as a Data Analyst. Strong proficiency in SQL Server . Solid programming hands-on experience in Python or R . Strong statistical background. Advantage: A genuine passion for sports (Soccer, Basketball, etc.)

Location: Remote - USA Workplace: Remote The R&D team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate. Our data and solutions have been used to solve some of the world's most high-profile criminal cases and grow consumer access to cryptocurrency safely. Now, by pairing the industry's most trusted blockchain data with agents that reason, investigate, and act, we help our customers scale their workflows as the cryptocurrency economy becomes increasingly mainstream. Chainalysis data has helped solve some of the world’s highest-profile criminal and national-security cases and made it safer for people everywhere to access crypto. The Global Intelligence Team produces the attribution at the heart of that data — connecting on-chain activity to the real-world entities behind it, across the global crypto ecosystem. It’s the intelligence data moat beneath every Chainalysis product, and what investigators, sanctions authorities, and national-security agencies rely on to follow the money and disrupt threats. Few threats test that mission harder than North Korea and China. Through Lazarus Group, the DPRK has stolen billions in crypto — via exchange and DeFi hacks and IT-worker schemes — to fund its weapons program, then laundered it through mixers, cross-chain bridges, and Chinese OTC networks. China, in turn, sits at the center of global crypto money laundering — from guarantee marketplaces and underground banking to scam compounds, fentanyl vendors, and cartel-linked laundering. The two are deeply intertwined, and making that activity visible on-chain is one of the most consequential problems in crypto intelligence today. As our DPRK- and China-focused intelligence analyst — the team’s subject-matter expert on North Korea and China — you’ll own that problem end to end. This is a depth role: while our analysts cover the breadth of the crypto-services ecosystem, you’ll go deep on a single, high-stakes domain — becoming the person, inside Chainalysis and increasingly across the industry, who understands how DPRK and Chinese actors use crypto and can prove it on-chain. You’ll own the attribution for their crypto footprint, map how these networks actually operate, turn that into finished intelligence customers act on, and be the expert voice representing Chainalysis on DPRK and China crypto threats. Who you’ll work with You’ll join a fast-moving, globally distributed team — analysts, threat-domain SMEs, data scientists, and engineers — collaborating across time zones, async and in real time. We move fast, hold each other to a high bar, and back each other up across regions. As the DPRK & China SME, you’ll be the single point of depth for the domain and a force multiplier for everyone working adjacent to it. In this role, you’ll: - Own DPRK & China attribution end to end — the threat-actor entities, their definitions, and the accounts, addresses, and infrastructure they operate: Lazarus Group and DPRK state-sponsored theft and laundering, DPRK IT-worker networks, Chinese-language OTC and underground-banking networks, guarantee marketplaces (e.g., Huione-style platforms), scam-compound and pig-butchering laundering infrastructure, fentanyl and precursor vendors, and Chinese money-laundering organizations. - Lead the attribution response to DPRK- and China-related sanctions events — when OFAC or allied authorities designate DPRK actors, exchange-hacking units, or Chinese laundering networks, drive the rapid, high-visibility on-chain attribution that turns those designations into coverage in our data, often against the clock. - Map the networks on-chain — trace how stolen and illicit funds move through mixers, cross-chain bridges, no-KYC swaps, OTC brokers, and off-ramps, following DPRK hack proceeds into and through Chinese laundering infrastructure, and keep that picture current as they adapt to pressure. - Produce finished intelligence — advisory notes, customer and partner briefings, and contributions to flagship publications (the Crypto Crime Report and beyond) that make DPRK theft/laundering and Chinese money laundering legible and actionable. - Be the named external expert — represent Chainalysis on DPRK and China crypto threats at conferences, on panels, with the press, and in briefings to public- and private-sector partners. - Help set the DPRK & China collection agenda — surface what data we need on these networks and feed those requirements into our collection process and priority intelligence requirements; you direct collection for the domain, but it runs through the team’s apparatus and prioritization, not you alone. - Translate typologies into detection — turn what you learn about DPRK and Chinese methods into guidance that our products and our customers can operationalize. - Build with AI — design and tune the automation that scales your analysis and the team’s, and handle the hard cases automation can’t. - Level up the team — raise the bar on DPRK, China, and money-laundering tradecraft broadly, and partner closely with analysts, other SMEs, data science, and engineering. We’re looking for candidates who have: - Deep, demonstrable DPRK and/or China expertise — real command of DPRK state-sponsored crypto operations (Lazarus Group, exchange and bridge hacks, IT-worker schemes) and/or Chinese-language money laundering, OTC and underground banking, guarantee marketplaces, and organized-crime finance. This is the core of the role, and we’ll expect you to show it. - On-chain tracing ability against DPRK/China targets — direct experience following DPRK hack laundering or Chinese OTC/laundering networks on-chain, or deep DPRK/China threat-finance expertise paired with proven blockchain-tracing skill you can bring to bear here from day one. - A national-security or threat-finance background — intelligence, sanctions, counter-threat-finance, or investigations, from the IC, Treasury/OFAC, law enforcement, the military, a think tank or research institution, or private-sector CTF/sanctions work. - Regional fluency — a strong grasp of the DPRK and Chinese illicit-finance ecosystems and regional money-laundering flows. Mandarin and/or Korean language ability is a significant plus. - Elite potential and a proven track record — exceptional aptitude, judgment, and work ethic; you’ve led hard problems end to end and you raise everyone around you. - Excellent writing and communication — this is an outward-facing expert role; your intelligence has to land with analysts, customers, and senior audiences alike. - AI-forward instincts — you build automation to scale your work and others’, not just use it. - Comfort working with data; blockchain forensics experience strongly preferred. - 5+ years of relevant analytic, intelligence, or threat-finance experience for a Senior hire; 8+ years and recognized domain authority for a Staff hire. You might also have: - Mandarin and/or Korean language ability. - Direct experience with OFAC sanctions, designations, or the designation process — especially involving DPRK or Chinese entities. - A record of published research or public speaking on DPRK crypto theft, Lazarus Group, or Chinese money laundering. - Familiarity with cross-chain bridge and mixer laundering, guarantee marketplaces (e.g., Huione-style platforms), or Chinese OTC and underground-banking networks. AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Обязанности: • Обработка и анализ данных в Excel (основной инструмент работы). • Очистка, нормализация и структурирование данных из различных источников. • Объединение данных из нескольких файлов в единую структуру по заданной логике. • Создание сводных таблиц и отчетов. • Автоматизация задач с использованием формул и макросов (VBA). • Загрузка и обновление данных в базе данных. • Работа с SQL-запросами (выборка, объединение, фильтрация данных). • Подготовка отчетов и дашбордов (Power BI или аналоги). • Самостоятельный разбор задач и поиск оптимальных решений. Требования: • Уверенное владение Excel (формулы, сводные таблицы, Power Query, работа с большими объемами данных). • Базовые знания SQL (SELECT, JOIN, фильтрация данных). • Навыки автоматизации (VBA или альтернативные инструменты). • Опыт работы с BI-инструментами (Power BI или аналоги). • Базовые знания Python (Pandas, обработка данных). Условия: • Работа в международной строительной компании на промышленном проекте федерального значения (Ленинградская область, п. Усть-Луга); • Трудоустройство по ТК РФ с первого рабочего дня и на весь период выполнения проекта; • "Белая" заработная плата без задержек; • Все переработки оплачиваются; • Срочный трудовой договор на период реализации проекта по 2028 г.; • Для иногородних сотрудников комфортное проживание в общежитиях гостиничного типа на территории строительного объекта, спальные и санитарные принадлежности предоставляются; • Столовая в шаговой доступности, 3-разовое питание; • Медицинская помощь; • Для местных сотрудников ежедневный трансфер в Кингисепп, Сосновый бор, п. Усть-Луга и обратно; • Трансфер на выходные в г. Кингисепп; • Ежегодный оплачиваемый отпуск; • СИЗ, спецодежда, по сезону; • Детальные условия и размер заработной платы обсуждаются по результатам собеседования.

Location: Salt Lake City, Utah, United States About the Role iCapital is seeking a Master Data Management Analyst to support the growing needs around data management as well as expanding initiatives to enhance the customer experience of data systems. This individual will be responsible for supporting the day-to-day operations of the data governance program, including ensuring teams are completing data requirements and maintaining data accuracy across critical systems. Responsibilities Work alongside colleagues across a variety of functional teams to ensure accuracy and completeness of critical data elements within the Fund's Global Data Master (GDM). Support day-to-day data governance program operations, including tracking and following up with teams to ensure data requirements are completed on time and accurately. Monitor data quality across systems, identifying gaps, inconsistencies, or missing information and coordinating resolution with relevant stakeholders. Assist in the creation and maintenance of business rules to monitor quality of master data. Identify data cleansing opportunities and work with stakeholders to implement. Liaise with key stakeholders to ensure data accuracy and completeness for relevant data points entered into GDM. Collaborate with team members to achieve the team's goals. Qualifications 2+ years of relevant experience in the financial industry or a related role Degree in finance, data management, or a related field is preferred Previous experience in a master data management role is a plus Able to manage workload independently within a predetermined timeline and communicate quickly when an extension may be required Solid verbal and written communication skills Strong organizational skills with the ability to track multiple workstreams and follow up with stakeholders to drive completion Critical attention to detail when reviewing and validating data Experience with SQL is a plus Knowledge and proficiency with Microsoft Office Suite Benefits The base salary range for this role is $60,000 to $75,000.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Задачи: — Анализировать данные по мошенничеству, AML и поведению пользователей для выявления пробелов в логике обнаружения и возможностей оптимизации правил. — Изучать паттерны поведения пользователей для различения легитимной активности от мошеннической или подозрительной. — Разрабатывать, внедрять и совершенствовать правила обнаружения в областях мошенничества, AML и санкций. — Исследовать новые типологии и неизвестные атаки, предлагать стратегии их смягчения. — Постоянно улучшать показатели мошенничества и ложных срабатываний, балансируя точность обнаружения и удобство для клиентов. — Проводить контролируемые эксперименты и A/B тесты для оценки влияния на уровень мошенничества и качество оповещений. — Выполнять контроль качества оповещений, анализировать ложные срабатывания и повышать точность. — Сотрудничать с командами продукта, инженерии и дата-сайенс для улучшения моделей риска, логики оповещений и автоматизации. — Использовать AI и инструменты на базе LLM для ускорения расследований и масштабирования анализа. — Готовить понятные визуализированные отчеты по трендам рисков, эффективности правил и текущим угрозам. Требования: — Опыт работы на позиции продуктового аналитика от 4 лет. — Экспертный уровень SQL, умение писать и оптимизировать сложные запросы. — Продвинутые навыки работы с инструментами визуализации данных. — Практический опыт использования AI-инструментов в аналитике и расследованиях. — Способность видеть бизнес-смысл в данных и ясно его коммуницировать. — Английский язык на уровне не ниже Upper-Intermediate. — Желательно: знания теории вероятностей и математической статистики (A/B тесты, причинно-следственный анализ). — Желательно: опыт использования Python для аналитики данных (NumPy, Pandas). — Желательно: опыт в области риска, комплаенса или борьбы с мошенничеством. Условия: — Гибридный формат работы в офисах в Лимассоле или Алматы, либо полностью удаленно вне офисов. — Поддержка релокации на Кипр (виза, пакет). — Бюджет на обучение и развитие. — Полностью оплачиваемый отпуск и больничные. — Компенсация на спорт. — Реальные перспективы роста, значительная ответственность и возможность влиять с первого дня. — Возможность развивать экспертизу и формировать будущее финтеха. О компании: Vivid — финансовая платформа, основанная в 2019 году в Берлине, быстро выросшая и работающая по всей Европе. Компания строит AI-native организацию, где автоматизация берет на себя рутинные задачи, позволяя командам сосредоточиться на стратегии и масштабируемых решениях. Миссия — помочь клиентам управлять и приумножать свои финансы с помощью современных инструментов и технологий.

Задачи: — Анализировать данные по мошенничеству, AML и поведению пользователей для выявления пробелов в логике обнаружения и возможностей оптимизации правил. — Изучать паттерны поведения пользователей для различения легитимной активности и мошеннических или подозрительных действий. — Разрабатывать, внедрять и совершенствовать правила обнаружения в областях мошенничества, AML и санкций. — Исследовать новые типологии и неизвестные атаки, предлагать стратегии их предотвращения. — Постоянно улучшать показатели мошенничества и ложных срабатываний, балансируя точность обнаружения и удобство для клиентов. — Проводить контролируемые эксперименты и A/B тесты для оценки влияния на уровень мошенничества и качество оповещений. — Выполнять контроль качества оповещений, анализировать ложные срабатывания и повышать точность. — Сотрудничать с командами продукта, инженерии и дата-сайенс для улучшения моделей риска, логики оповещений и автоматизации. — Использовать AI и инструменты на базе LLM для ускорения расследований и масштабирования анализа. — Готовить понятные визуализированные отчёты по трендам рисков, эффективности правил и текущим угрозам. Требования: — Опыт работы на позиции продуктового аналитика от 4 лет. — Экспертный уровень SQL с умением писать и оптимизировать сложные запросы. — Продвинутые знания инструментов визуализации данных. — Практический опыт работы с AI-инструментами в аналитике и расследованиях. — Способность видеть бизнес-смысл в данных и ясно его коммуницировать. — Английский язык на уровне не ниже Upper-Intermediate. — Будет плюсом: знание теории вероятностей и математической статистики (A/B тесты, причинно-следственный анализ), опыт использования Python для аналитики (NumPy, Pandas), опыт в области риска, комплаенса или антифрода. Условия: — Гибридный формат работы в офисах в Лимассоле или Алматы, либо полностью удалённо. — Поддержка релокации на Кипр (виза, пакет). — Бюджет на обучение и развитие. — Полностью оплачиваемый отпуск и больничные. — Компенсация на спорт. — Реальные перспективы роста, значительная ответственность и возможность влиять с первого дня. О компании: Vivid — финтех-компания, основанная в 2019 году в Берлине, быстро выросшая и работающая по всей Европе. Компания строит AI-native организацию, где автоматизация берёт на себя рутинные задачи, позволяя командам сосредоточиться на стратегии и масштабируемых решениях. Миссия — помочь клиентам управлять финансами и достигать успеха.

Location: Warsaw The Data Science & Analytics team at Asana is how the company turns data into decisions — defining the questions that matter, surfacing the answers, and making sure insight is at the center of every critical product and business call. As a Senior Analytical Engineer, you sit at the intersection of Data Engineering, Analytics, and Data Science, and you own the data foundations for a business domain end to end. Your mandate is to turn raw data into reliable, business-ready datasets that PMs, analysts, data scientists, and leaders actually trust and use — and to define the business logic and metric standards that make AI-powered self-serve trustworthy. You consume governed Silver tables and produce the Gold layer and semantic layer beneath Asana's most important metrics, dashboards, and Genie spaces. This role is based in our Warsaw office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday, with the option to work from home on Wednesdays and, depending on the work and the teams you partner with, on Fridays. If you're interviewing for this role, your recruiter will share more about the in-office expectations. What you'll achieve: Own the Gold layer for a given business domain (e.g. PLG funnel, marketing attribution, revenue, NPI/AWM): Design and continuously improve the curated, dimensional data models that downstream dashboards, Genie spaces, and ELT reporting depend on. Implement the canonical business logic behind your domain's core KPIs: Translate KPIs into governed, versioned metric marts that resolve "this number doesn't match" disputes for good. Build and curate the semantic layer and Genie spaces that power self-serve in your domain: Author the metadata, documentation, and prompt/metric definitions that let stakeholders query governed data in plain language through Claude and Databricks Genie. Own the metric dictionary for your domain: a single source of truth for what each metric means, who owns it, and where to find it. Partner with peers across DS&A to keep KPI definitions consistent where domains overlap. Author data contracts and SLAs at the Silver→Gold boundary, partnering with Horizontal Data Engineering on the inputs you depend on, and owning data quality, freshness, and oncall for Gold/metric-mart failures in your domain. Build and maintain certified, board-ready dashboards on governed Gold data, partnering with Data Science to translate insight requirements into trusted, reusable products rather than one-off builds. Partner directly with Product & Business, Data Science, and Engineering to turn ambiguous, underspecified questions into scalable datasets — anticipating downstream reporting impacts before they become incidents, and raising the data-model quality bar across the domains you touch. About you: 4+ years in analytics engineering, data engineering, or a closely related analytics role, with a track record of independently owning the data models a team relies on for decisions. Advanced SQL and strong data modeling fundamentals: dimensional modeling, star/snowflake schemas, slowly changing dimensions, and semantic layer design. Hands-on experience with a transformation framework (dbt or equivalent), orchestration tooling (e.g. Airflow), version control (Git), and modern warehouse/lakehouse platforms (Databricks experience preferred). Practical experience with data quality testing and observability, schema management and data contracts, and query/model performance and cost tuning. Demonstrated domain fluency in at least one business area (e.g. PLG funnels, SLG pipeline, marketing attribution, Product telemetry, revenue/ARR) and the judgment to translate "I don't trust this number" into a specific, durable model fix. Strong cross-functional partnership skills: requirement gathering, prioritization, documentation and enablement, driving alignment on metric definitions, and explaining technical tradeoffs to non-technical partners. Curiosity about AI-native analytics — NL2SQL, metadata/semantic layers for self-serve, and using tools like Claude and Genie to multiply your reach rather than replace rigor. Exposure to Unity Catalog, Looker/LookML, or reverse-ETL/activation (Salesforce, Marketo, Gainsight) is a plus. We know that the best ideas and solutions come from multi-dimensional teams. That's because these teams reflect a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don't be shy - apply today. At Asana , we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we’ll offer Generous, transparent and fair compensation system (base salary and RSUs) Contract of Employment (and the option of 50% tax deductible costs for author’s rights usage in respect of applicable roles ) Health insurance with dental and travel coverage (Lux Med) Breakfast and lunch catering on the days that you work from the office Vacation allowance Career growth budget Home office setup budget Gym/Fitness card Fertility healthcare and family-forming support with Carrot Mental Health Support in Modern Health Group life insurance MacBooks with all necessary accessories For this role, the estimated base salary range is between 20,833 - 23,700 PLN gross per month (subject to all taxes and necessary deductions). The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity and sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role. #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. Join Asana ’s Talent Network to stay up to date on job opportunities and life at Asana . About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Remote US 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. We’re looking for an intelligent, driven professional to join our Bank Model Risk Management (MRM) team. This team seeks to establish, maintain and oversee an effective MRM framework to identify, quantify, monitor, mitigate and report on model risk. You will have an outstanding opportunity to work cross-functionally to develop a profound understanding of models that drive critical business decisions, and add value to the Bank by mitigating risks due to ineffective model design or model misuse. What You'll Do Full-Stack Model Validation: Conduct rigorous, independent validations of sophisticated credit/fraud models—including machine learning and traditional statistical models—focusing on conceptual soundness, data integrity, and performance stability. Advanced Quantitative Monitoring: Develop automated, independent monitoring suites in Python to track KRI/KPI drift, population stability (PSI), and feature importance shifts in real-time. Remediation & Technical Advisory: Partner with 1st-line Model Developers to drive the remediation of validation findings, ensuring models and strategies are not only compliant but mathematically robust. Audit & Regulatory Liaison: Partner with Internal Audit, Internal Controls, and Compliance to facilitate the timely resolution of audit and regulatory requests. Affirm Bank: Work for the internal Bank team to support the build out of the Bank Model Risk Management function. Support the model validation requirements for Bank owned models. What We Look For 7+ years of professional experience in a highly technical capacity, such as Credit/Fraud/Financial Risk Modeling, Model Validation, or Quantitative Analytics Deep understanding of the consumer credit lifecycle and/or fraud detection. Technical familiarity with loss forecasting/fraud prediction, and stress-testing frameworks. Expert-level proficiency in Python (specifically pandas, scikit-learn, statsmodels) for replicative modeling and backtesting. Mastery of SQL for wrangling large-scale, distributed datasets and performing complex data lineage audits. A natural problem-solver with a meticulous eye for detail, a deep curiosity for how strategies perform, and sharp critical-thinking skills. Exceptional interpersonal and communication skills, with a proven ability to translate complex technical ideas for any audience. Base Pay Grade - O Equity Grade -  USA 12 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 equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT): $220,000 - $280,000 USA base pay range (all other U.S. states): $195,000 - $255,000 Please note that visa sponsorship is not available for this position. #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.

Location: Barcelona, Spain Workplace: hybrid About seQura seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear, Repairs and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months. Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there, with an NPS of 87%, a Trustpilot rating of 4.7/5, and a Glassdoor rating of 4.1/5. About the role 🤓 Finance at seQura runs on data: recurring calculations, regulatory processes, provisioning, reporting cycles, and profitability tracking. As a Senior Financial Product Data Analyst, you'll own the link between how Finance actually works, the KPIs it tracks, and the decisions those KPIs drive, turning that understanding into reliable, self-service data products. This isn't a "receive a ticket, write a query" role. You'll work closely with Finance and Finance Tech teams to understand why a number matters before you model it, then build trusted data products that Finance teams can use independently. Your work will directly improve how Finance operates, helping establish a single source of truth for revenue, enabling self-service reporting, and ensuring the business can make confident decisions based on reliable data. What challenges you'll be solving 🚀 Learn seQura's Finance domain deeply enough to understand which KPIs matter, why they matter, and the business decisions they support—from pricing and provisioning to servicer settlement and product profitability. Design and build production-grade data products, not just queries: dbt models on Redshift, fully documented and tested to Single Source of Truth standards, together with the Metabase dashboards and self-service datasets that sit on top of them. Partner directly with Finance stakeholders to translate complex financial and regulatory processes into robust, reliable, and auditable data models. Validate and reconcile critical Finance outputs, including servicer reports, provisioning runs, and amortisation tables, ensuring they are accurate and audit-ready. Chase data quality issues back to their source, working closely with Data Engineering to solve problems upstream instead of applying downstream workarounds. Help close the existing revenue gap between operational systems and the data warehouse while improving Finance models for defaults and amortisation. Present findings, recommendations, and new data products directly to Finance leadership, connecting the data back to the business decisions it's meant to support. Contribute to broader Data & AI governance initiatives, including metadata, documentation, and data catalog work wherever it impacts Finance. About the Data team 🧩 Team mission To turn seQura's raw data into trusted, well-governed data products that power business decisions, reporting, and AI across all domains. What we own The dbt transformation layer across business domains. The Single Source of Truth (SSOT) for key business metrics. Semantic models that enable consistent reporting and analytics. Data contracts and governance standards across domains. Data lineage, documentation, and discoverability. Data quality, testing, and monitoring to ensure trusted data products. Team Structure You'll join a team of four Analytics Engineers, working alongside a Data Governance Lead and reporting to the Head of Data. You'll collaborate closely with FP&A, Accounting, Treasury, Finance Tech, Data Engineering, and the wider Data & AI team to ensure Finance data is accurate, governed, and easy to consume. How we work We treat data as a product, with clear ownership, quality standards, and consumers. We build self-service data products rather than one-off reports. We understand the business context before building data models—we care as much about why a metric exists as how it's calculated. We work closely with domain experts to turn business knowledge into reusable, trusted data assets. We continuously improve data quality through governance, documentation, testing, and collaboration. What to expect in the next 90 days 🏁 Month 1 Learn seQura's core Finance processes and KPIs, including pricing, provisioning, servicer settlement, and product profitability. Meet stakeholders across Finance and Finance Tech, and become familiar with the existing dbt models and Metabase dashboards supporting Finance. Month 2 Take ownership of your first data quality or reconciliation initiative end-to-end, tracing issues back to their source alongside Data Engineering while contributing to an active dbt model. Month 3 Deliver your first self-service Finance data product—a documented dbt model together with a Metabase dashboard—that Finance stakeholders can use independently, and present your work and recommendations to Finance leadership. Tech stack & environment 🛠️ Our Finance Analytics stack is built around SQL, dbt, Redshift, and Metabase, enabling trusted, production-grade data products across Finance. The team uses dbt for transformation and testing, Redshift as the analytical warehouse, and Metabase to deliver self-service reporting. OpenMetadata supports governance and discoverability, while Python and Airflow are used where automation or orchestration adds value. What you’ll need 🤝 Must have: 5+ years of experience as a Data Analyst or Analytics Engineer. Strong hands-on SQL skills. Practical experience with dbt, including data modeling, testing, and documentation. Experience building dashboards and self-service data products using Metabase (or an equivalent BI platform). Demonstrated ability to understand Finance processes, not just execute against a specification, and translate that understanding into robust data logic. Strong business mindset, with the ability to connect KPIs to the decisions they support. Fluent English. Nice to have: Experience in fintech, lending, or BNPL environments. Knowledge of provisioning, amortisation, EIR, or IFRS 9. Python for analysis or lightweight automation. Experience with data governance or catalog tools such as OpenMetadata. Experience with orchestration tools such as Airflow. Experience presenting data products directly to Finance or executive stakeholders. What we offer 😎 We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible. One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge. In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need. 23 vacation days + 2 days of free disposal per year. Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee. Health insurance discounts Flexible working hours. A personal budget for professional development. Office workshops and meet-ups to encourage community participation and career growth. Hybrid work from Barcelona Moreover, we have a Wellness Program that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include a variety of activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you. Which are the next steps? 🙌 Interview with People Team Hiring Manager interview Technical take-home assessment (async) Live Peer review of the assessment Meet the team We kindly ask that you submit your CV in English, as it is the official language of our community. We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or any other characteristic. We have an inclusive environment, and respect is above all. Do you want to be part of the change? Join us!👇

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Sr. Analytics Engineer, R&D. About the job This position is needed to advance the consistency & quality of our R&D analytics data layer and accelerate the development velocity of analysts. Our Data Science and Analytics team seeks to empower R&D to make data-backed decisions that accelerate innovation and improve product performance. You will work closely within our team and across Product & Engineering to design and maintain a robust analytics data layer that enables trusted reporting on R&D metrics. Responsibilities In this role, you’ll: Design and implement a formal analytics data layer using AWS Glue, Athena / Presto, and LookML Collaborate within the Data Science & Analytics team and across Product & Engineering to define, document, and maintain alignment on metric definition and data lineage Develop and maintain automated data reconciliation and quality checks to proactively identify and resolve discrepancies, ensuring accuracy and consistency of critical reports and dashboards Lead investigations into complex data anomalies, conduct root cause analysis, and communicate findings and solutions effectively to both technical and non-technical audiences Mentor and guide members of the data science and analytics team, establishing and enforcing best practices around data modeling, testing, documentation, and code review Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! Required: 4-5 years of professional experience in analytics engineering, data engineering, or a related discipline Strong expertise in SQL and hands-on experience designing data models and orchestrating data pipelines using AWS Glue or similar technologies Demonstrated ability to partner with cross-functional stakeholders to codify, document, and reconcile critical business metrics, ensuring company-wide data alignment Proven track record of owning ambiguous projects from beginning to end with minimal guidance Strong technical communication and mentorship skills, with the ability to convey complex concepts to a range of audiences Desired: 5+ years of professional experience in analytics engineering, data engineering, business intelligence, or a related discipline–ideally in a B2B SaaS environment Expertise in Python; distributed computing technologies like Hive, Presto, and Spark; and dashboarding tools like Looker or Tableau Proven track record of implementing robust data quality and testing frameworks, including expertise with dbt tests, CI/CD, and data observability Experience evangelizing and establishing data culture and best practices within a fast-paced technology organization Location This role will be remote, but is not eligible to be hired in CA, CT, NJ, NY, PA, WA. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $141,520.00 -- $176,900.00 Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $149,840.00 - $187,300.00. Based in the San Francisco Bay area, California: $166,400.00 - $208,000.00 This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until 8/10/2026, but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.