Аналитика вакансии - гибрид

Location: New York, NY (HQ); San Francisco, CA; Miami, FL Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. About the Role Ramp is in a critical phase of growth, and marketing is one of the biggest drivers of it. We're building out our business systems team to make sure the systems behind every campaign, list, and lead can keep up. You'll work directly with Growth Marketing, Demand Generation, Lifecycle, Events, Sales Development, and Sales to own the systems that turn marketing programs into pipeline. You'll own HubSpot and how it connects to Salesforce and the rest of our GTM stack. What You'll Do - Own top-of-funnel marketing systems: the roadmap, the architecture decisions inside them, and their operational health - Run HubSpot as a system, not just a tool: workflows, lists, forms, properties, lifecycle stages, and the permissions and naming conventions that keep it from sprawling - Run campaign operations end-to-end: program and campaign structure, campaign membership and status, event and webinar lead capture, and launch QA, so Marketing can ship quickly without creating data debt - Own workflow management in HubSpot: build, document, and audit nurture, enrollment, and suppression workflows, and retire the ones that no longer earn their place - Build and govern lists: ICP segmentation, inclusion and suppression logic, enrichment, and email validation between a Growth request and a send. Every list should be reproducible and explainable. - Own privacy and opt-out management: subscription types, consent capture, unsubscribe and opt-out handling across HubSpot, Salesforce, and sales engagement tools, and compliance with CAN-SPAM, GDPR, and CCPA in a regulated fintech environment - Design and maintain UTM tracking and attribution architecture: UTM taxonomy and governance, hidden-field capture on forms, lead source and original source logic, and how campaign touches flow into Salesforce, so the attribution reporting is something the business trusts - Build the Salesforce automation behind marketing handoffs: record-triggered flows, validation rules, fields, and permission sets - Use AI to automate the work where it holds up: enrichment, list QA, data quality checks, and request triage - Prioritize incoming requests by ROI. Decide what gets built, deferred, or declined, and show the numbers behind each call. What You'll Need - 5+ years in marketing operations, business systems, or revenue operations at a fast-paced B2B company - Deep hands-on HubSpot experience: workflows built and debugged, and list, form, and property architecture you designed rather than inherited - Hands-on campaign operations experience: you've built campaign structures and owned the lists and sends behind real programs - A working command of email privacy and consent: subscription management, opt-out handling across systems, and the regulations behind them - UTM and attribution architecture you've owned in practice: taxonomy, capture, lead source logic, and the MQL-to-SQL handoff - Salesforce Admin experience, including flows you built and debugged when they broke (certification is a plus) - A habit of framing problems rather than waiting for a spec: you take on ambiguous requests, make the decisions, and ship - You dissect a problem, drive it to completion with little supervision, and can explain the tradeoffs to any audience Nice to Have - Enrichment and routing tools such as Clay, ZoomInfo, LeanData and Chili Piper - Sales engagement and automation platforms such as Outreach and Workato - Deliverability and list hygiene at high sending volume - Paid media and ad platform integrations, including conversion tracking - Lead scoring and MQL model design - Snowflake, Looker, or similar BI and warehouse tools - Linear or similar project management software BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Mycar Digital — цифровой проект для автомобилистов: маркетплейс по продаже и покупке авто, автоматизация бизнес-процессов, автокредитование и дилерские центры. Офис или гибрид (Алматы, Казахстан).

Яндекс Путешествия — сервис по поиску и бронированию отелей, авиабилетов, билетов на поезда и автобусы. Вакансия: Миддл Продуктовый аналитик. Возможен гибридный формат работы, удалённая работа или офис в Москве, Санкт-Петербурге, Екатеринбурге, Казани.

Location: Philippines Workplace: Hybrid Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role: You'll own the NPV and unit economics model behind Salmon's credit card business — the core logic behind how we price, size, and monitor profitability across the portfolio. What you'll do: - Work directly with the Head of Economics to turn model logic into production-ready Python/SQL code - Build and maintain the datasets that feed the model — cohorts, cashflows, losses, funding, fees, revenue — with help from other analysts - Automate scenario and sensitivity runs so pricing, limit, and product decisions are backed by real numbers What you'll own: - Own the end-to-end NPV / unit economics model for credit cards — clean, testable, versioned logic - Validate model outputs against actual portfolio performance and investigate gaps when they don't match - Translate model logic into clear, implementation-ready specs when other teams need to build on it - Step outside your immediate scope when the work calls for it — we value ownership over rigid roles What makes you a strong fit: - 2–3+ years of hands-on experience in data analytics - Strong Python (pandas) and SQL — for data exploration and for implementing analytics logic in production - Solid understanding of unit economics / financial modeling — cashflows, NPV, cohorts — through direct modeling experience or hands-on work with such models - High attention to detail — small errors break economics in production What we offer: Ownership and flexibility - Stock option plan — four-year vesting with a 25% cliff after the first year - Hybrid-first work environment - Company-provided tools and equipment - Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene Health and time off - Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits - Access to an internal mental health support specialist - 22 vacation days, Philippine public holidays, and 15 sick days - 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila Relocation and family support - Relocation support for you and your family — including flights, two weeks of accommodation, visas, paperwork, and logistics - Reimbursement of eligible pet relocation expenses - USD 2,500 per year for flights home - Baby and family stipends for employees relocating to Manila: USD 1,000/month per child under two, USD 500/month per child aged two to 18 Growth and team experience - Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications - Company-sponsored trips to Manila to meet and work with your team in person - Regular team offsites, sports activities, and team events - High-performing teams can earn a dedicated beach house week in Southeast Asia We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Ramp Economics Lab is the go-to source for understanding how businesses spend on and adopt AI. Built on Ramp’s $200B+ business spend dataset, our flagship Ramp AI Index https://ramp.com/data/ai-index tracks the AI economy through actual business spend data. We help CFOs and finance teams understand what these trends mean for their businesses, and our research is regularly cited by outlets including the Financial Times, The Wall Street Journal, and Bloomberg. You will work with Ara Kharazian https://www.linkedin.com/in/akharazian/, lead economist. We’re hiring an analytical, resourceful researcher to own and expand this work: run the Ramp AI Index, develop new metrics on AI spending and adoption, explore questions about AI ROI, and extend our research internationally. You’ll turn findings into clear reports, charts, presentations, and interactive tools that help CFOs and finance teams make better decisions. You will also build our customer-facing research function: developing Ramp’s outlook on AI, meeting with customers and prospects, and translating our data into practical recommendations for business planning, budgeting, and AI strategy. You’ll partner with the growth team to package and distribute this work through reports, web content, presentations, and events that reach finance leaders. This role combines economic judgment, applied data science, public writing, data visualization, and executive communication. You should be able to move from an important question to credible analysis, a clear visual or argument, and advice a business leader can act on. WHAT YOU NEED - 5+ years of experience in an analytical role, such as investment banking, equity or industry research, consulting, business operations, data science, or economics. We care about evidence of strong analysis, clear communication, and ownership across projects. - Strong perspectives on the economics of AI, economic policy, new media, and writing - Strong knowledge of SQL - Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards - Track record of shipping high-quality research, writing, and thought leadership under short, non-academic timelines - Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions - Active reader of the news in economics, business, and AI trends - An advanced user of AI for data science, and an eye for good charts and web design (we vibecode ramp.com/data http://ramp.com/data ourselves) NICE-TO-HAVES - Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents) - Experience within the payments and financial technology space BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Athens; Limassol; Nicosia Workplace: hybrid The Role:  We’re looking for an experienced Data Analyst to join our Data Science team and turn complex data into meaningful insights that drive smarter decisions. In this role, you’ll work with large and diverse datasets, uncover patterns and opportunities, and use advanced analytics to help solve real business challenges.  If you’re naturally curious, enjoy tackling complex problems, and are passionate about transforming data into actionable insights, this is an opportunity to make a real impact in a fast-paced, data-driven environment. The main responsibilities of the position include: Apply statistical analysis and data mining techniques to extract meaningful insights from large datasets Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies Develop reports, dashboards, and visualizations to communicate insights and monitor key business metrics. Support the evaluation and assessment of machine learning models through data analysis and performance reporting. Contribute to the development of the department’s data science strategy and identify opportunities where data science can deliver business value Ensure high standards in data preparation, feature engineering, model evaluation, documentation, and code quality Collaborate with cross-functional teams including data engineers, data scientists, software engineers, product owners, and business stakeholders Present insights, analysis results, and recommendations to both technical and non-technical audiences Ensure adherence to best practices in data quality, version control, and reproducible analytics Main requirements: University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field At least 3 years of experience in data science including hands on experience with Data Analysis Strong programming skills in Python , with hands-on experience using Pandas, NumPy , and other data analysis libraries. Experience with visualization libraries in Python, such as Matplotlib, Seaborn, or Plotly Hands-on experience with data visualisation and BI tools , such as Power BI. Solid understanding of statistics and data mining techniques Experience working with relational and non-relational databases Basic knowledge of Machine Learning concepts and techniques , with an interest in applying them to real-world data problems. Strong analytical and problem-solving skills , with excellent attention to detail. Excellent communication skills and the ability to work collaboratively in a team environment Benefit from: Attractive remuneration package plus performance related reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy Policy and the Confidentiality Undertaking.

Location: New York, NY (HQ) Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. As a member of Ramp's Risk Strategy & Operations team, you will leverage data to develop and optimize credit strategies. Credit is one of Ramp's most consequential products. Every policy change affects how customers can grow their usage, and how responsibly Ramp scales up while managing risk. Credit Risk Strategy owns these tradeoffs end to end. In this role, you will own or help build strategy across credit risk areas like credit limits, payment speed, and collections. You'll take ambiguous problems, get to the data, prototype the solution, and push the change with Product, Engineering, Data Science, Risk Operations, Finance, Customer Experience, and Compliance. AI fluency is required. We use AI as a core pillar of our risk management stack, and you will be prototyping and managing related Agents and tools. You should already be using tools like Claude Code, Codex, or similar AI tools to write code, explore data, prototype apps, automate workflows, and check your own work. You do not need to be a software engineer, but you do need to use AI to ship something runnable or inspectable enough to test, improve, and hand off. We are looking for builders with high agency and high urgency: people who prototype the workflow, not just write the recommendation for someone else to build. What You'll Do - Own credit risk strategy for areas like model prototyping, credit limits, payment speed, collections, etc. - Use SQL, quantitative reasoning, and credit risk judgment to investigate patterns, size opportunities, define policy changes, and pressure-test recommendations. - Build the first useful version when the workflow does not exist: a tool, app, dashboard, agent, notebook, QA loop, monitor, or decisioning process. - Use AI tools every day to move faster on research, analysis, coding, synthesis, writing, verification, and follow-through. - Build AI into credit risk workflows: feature exploration, policy monitoring, case review, exception handling, decision support, documentation, and human-in-the-loop QA. - Investigate new data sources and model features; evaluate signal quality, coverage, failure modes, and how they would change credit decisions. - Make ambiguous credit risk decisions within your surface area, balancing loss, customer experience, operational burden, growth, compliance, and risk-adjusted returns. - Partner with Product, Engineering, Design, to execute and build the risk management infrastructure What You Need - Minimum 2 years of experience in credit risk management or quantitative strategy role - Minimum 2 years of experience using SQL or Python for data retrieval and manipulations - AI fluency you can demonstrate live: name the tools, show an artifact, explain a recent failure mode, and walk through how you verified the output before using it in a credit risk decision. - Ownership in ambiguity: you define the question, get the data, make the call, communicate the tradeoffs, and drive follow-through without waiting for perfectly scoped work. - Strong communication: you can compress a complex credit risk decision into a clear narrative that leadership and cross-functional partners can act on. Nice-to-Haves - Previous experience building credit risk in similar Card or expense management products - Previous experience in high-growth startups or environments where the operating model changed quickly. - Previous experience with Operations teams Compensation We are open to hiring at multiple levels for this role (Analyst, Associate, or Senior Associate). Level is determined during the interview process. The expected base salary ranges are: - Analyst: $108,000 to $148,000 - Associate: $140,000 to $192,000 - Senior Associate: $160,000 to $200,000 These ranges reflect base salary for New York City and do not include equity or benefits, both of which this role is eligible for. BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Задачи: — Служить стратегическим партнёром и советником для продуктовых менеджеров и бизнес-лидеров, предоставляя рекомендации на основе данных по оптимизации клиентского опыта. — Совместно с продуктовыми менеджерами, дизайнерами и инженерами разрабатывать и проводить эксперименты для поддержки продуктовых разработок. — Определять стратегию измерения состояния программ и операционной эффективности, включая разработку метрик, отчетности и мониторинга. — Проводить глубокий анализ ключевых метрик клиентского опыта для выявления трендов и возможностей, что будет основой для дальнейших исследований. — Разрабатывать и представлять аналитические отчёты и выводы старшим операционным руководителям, фокусируясь на проблемах и решениях. — Поддерживать создание и обслуживание основных отчетных абстракций (созданных в dbt), BI-отчетности и AI семантических слоёв. Требования: — Минимум 4 года опыта работы с комплексными наборами данных для поддержки принятия решений в организации. — Практический опыт проведения A/B тестов и проектирования экспериментов. — Отличные устные и письменные коммуникативные навыки, умение ясно и кратко излагать результаты анализа. — Способность самостоятельно переводить вопросы заинтересованных сторон в чёткие аналитические задачи. — Опыт создания данных абстракций с использованием DBT или Airflow и работы с инструментами визуализации данных (Mode, Looker, Periscope, Tableau). — Уверенное владение SQL, способность проверять код других аналитиков и дата-сайентистов. Желательно: — Магистерская степень в количественной области или опыт прикладной статистики. — Навыки программирования на Python или R. — Опыт использования AI инструментов для аналитики. — Опыт работы с данными инструментов клиентской поддержки (например, Zendesk). — Опыт прогнозирования рабочей силы. Условия: — Работа в гибридном формате: два дня в неделю в офисе в районе Побленоу, Барселона. — Зарплата в первом году от €47,124 до €57,120 в зависимости от опыта и квалификации. — Долгосрочный план стимулирования с выплатами на основе результатов компании. — Пенсионный план, частная медицинская страховка, 25 дней отпуска, компенсация питания и транспортных расходов, абонемент в спортзал, компенсация расходов на усыновление питомца, ежегодное возмещение расходов на здоровье €150. — Гибкий график работы с некоторыми обязательными временными рамками. — Дружелюбный к животным офис и регулярные командные мероприятия.

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

Задачи: — создавать, анализировать и коммуницировать отчёты и статистику для бизнес-команд и партнёров; — собирать, валидировать и документировать бизнес-требования; — анализировать коммерческие данные, такие как доходы, CPI и другие KPI; — моделировать бизнес-процессы и выявлять возможности для их улучшения; — выявлять проблемы, риски и выгоды существующих и предлагаемых решений; — оценивать бизнес-эффект предлагаемых идей (доходы против затрат); — упрощать информацию для лёгкого восприятия; — внедрять и тестировать решения. Требования: — бизнес-ориентация и умение связывать бизнес-цели с цифрами; — опыт работы с анализом данных не менее 3 лет; — способность понятно выражать технические вопросы на бизнес-языке; — компетентность в коммуникации с внутренними и внешними заинтересованными сторонами; — развитое критическое мышление с чёткими действиями и проактивный подход; — опыт работы с SQL и Tableau; — умение работать в команде и желание помогать другим. Плюсом будет: — опыт в AdTech или игровой индустрии. Условия: — помощь с релокацией в Германию, включая визу и поддержку при переезде; — гибридный формат работы с 3 основными офисными днями и гибким графиком; — 30 дней отпуска и 3 недели удалённой работы в году; — бесплатный доступ к внутреннему спортзалу с разнообразными фитнес-классами; — поддержка ментального здоровья через программу Employee Assistance Program (EAP); — офис с видом на озеро Альстер, современным оборудованием, зонами отдыха и разнообразием снеков и напитков; — участие в командных и корпоративных мероприятиях, включая хакатоны и социальные встречи; — регулярная обратная связь и программа развития для профессионального роста; — поддержка изучения немецкого языка и бонус на релокацию. Компания приветствует заявки от людей, которые внесут вклад в разнообразие коллектива.

Задачи: — Владеть сайтом и каналом цифрового привлечения, управляя разработкой от гипотезы до реализации. — Анализировать и оптимизировать клиентские пути на лендингах, формах и в конверсионных воронках. — Собирать и переводить бизнес-требования в четкие технические спецификации для инженерных команд. — Определять продуктовые метрики и KPI для проверки гипотез и анализа эффективности каналов. — Сотрудничать с командами продукта, инженерии, операций и данных для улучшения онбординга. — Поддерживать вторичные каналы привлечения для целостного понимания клиентского пути. Требования: — Опыт работы бизнес-аналитиком в продуктовой компании от 1 года. — Умение структурировать неоднозначные задачи в четкие бизнес-требования. — Опыт работы с веб-аналитическими инструментами, такими как Google Analytics и GTM. — Владение SQL для написания запросов и работы с аналитическими данными. — Английский язык на уровне B2 или выше для коммуникации с международными командами. — Локация: проживание или готовность к переезду в Мексику. — Приветствуется знание испанского языка. — Опыт A/B тестирования и работы с метриками цифрового привлечения (CAC, CR, CPA, LTV). — Опыт в управлении продуктом, проектами или системном анализе. — Опыт работы в финтехе, маркетплейсах или быстрорастущих цифровых компаниях. — Знакомство с Figma, Miro, Jira и Confluence. Условия: — Поддержка переезда сотрудника и семьи в Мексику. — Гибкий гибридный формат работы. — Полное медицинское страхование. — Бюджет на образование для изучения языков, сертификаций и профессионального обучения. — Бюджет на оздоровление для поддержки психического здоровья и фитнеса. — 20 дней ежегодного отпуска плюс оплачиваемый больничный.

Location: Anywhere in France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. 🚀 WHY JOIN CARE OPS IN 2026? 🚀 You might look at Alan’s Care team today—managing high volumes seamlessly, supported by strong partners, and automating 50 of conversations—and ask: "It works, so why join now?" Yet, the most exciting part is still ahead. We are at a turning point as we prepare to support millions of members and push to set the standards in the industry. Here is why this is the moment to join. - People: This is the opportunity to join a team with incredibly high talent density, operating with distributed ownership—empowered Crew Leads, strong deputies, and Guillaume Poirier https://www.linkedin.com/in/guillaume-p-34602923/ as Care Ops Lead. It is a proven engine for creating talent and fueling internal mobility. - Processes: We absorb high volumes without glitches (including Ministry of Finance in France) and collaborate smoothly with Product and Sales. We trust and work hand-in-hand with solid external partners in France and Spain. - Innovation: We are one of the few companies in the world claiming to automate 40% of member conversations as of the end of 2025 (a true market benchmark). We're building an organization capable of serving 3 million members with a lean team. To get there, we need people who can build scalable systems (analytical and operational) that make this possible. What this means for the role you're joining: - Our operations are getting smarter, and our analytics need to keep up: We don't just need dashboards. We need to understand what drives performance, spot problems early, and help teams decide faster. You'll build this. - Our planning is getting more complex: More countries, more automation, more partner teams. We need better models to know how many people we need, where, and when. - Our tools need to scale: What works with manual effort today won't work at 3x the volume. You'll build AI-powered tools and workflows that make operations smoother across the board. Recognition: We are building something unique, yet we are not yet known externally as the reference for Care operations. ⭐ THE CARE OPS ROLE ⭐ The Care Ops team supports the Care Community globally (France, Belgium, Spain, Canada) by providing tools, processes, and data to deliver on our Roadmap and Strategic Plan. Care Ops is accountable for operational excellence and efficiency in Care, enabling the Community to scale without any compromise on user experience. We are looking for a Care Ops who loves numbers, builds tools, and wants to have a real impact on how we run operations at scale. You'll join a team of 10 and work across the full spectrum of our operations: understanding what drives our performance, building the tools and models that help us make better decisions, and collaborating daily with Data, Engineering, Product, and Care teams. One week you'll be deep in a staffing model, the next you'll be building an AI-powered reporting tool, the next you'll be presenting a performance deep dive to Crew Leads. Some of our missions include: 1/ Performance analytics and operational insights - Build and improve dashboards and reports that help teams understand what's happening and why. Not just track numbers — explain them. - Conduct deep dives into operational performance (response times, resolution quality, contact drivers) and deliver concrete recommendations. - Help define and maintain our key metrics across countries: what do we measure, where does the data live, how do we make it reliable. - Work closely with our Data team and Care Crew Leads to turn data into decisions. 2/ Planning, forecasting, and resource optimization - Help build and improve our staffing models: how many people do we need, when, and where? How does automation change the equation? - Contribute to simplifying our planning tools and processes - Work with our external partners on capacity planning and delivery tracking. - Challenge how we do things today. 3/ Tooling and AI - Build and improve operational tools using AI and no-code solutions (Dust, Claude, automation platforms). You'll probably build half your tools with AI. - Identify where current processes don't scale and propose solutions — sometimes a simple script, sometimes a product need. - Collaborate with Product and Engineering crews to push efficiency needs into the roadmap. ⭐ JOIN THE CARE TEAM! ⭐️ You will excel as a Care Ops if you: - Communicate clearly in English and French, written and verbal. You'll work with many teams and clarity matters. - Think in numbers. You're comfortable with data, spreadsheets, and ideally SQL. You build models, not just read dashboards. - Have a performance mindset. You want to understand why a metric moves. You look for root causes and push for action. - Are curious about AI and tooling. You use AI tools in your daily work and see them as building blocks. You're excited to learn and experiment. - Get your hands dirty. You dig into the details, fix what's broken, and don't wait for someone else to do it. - Have 2-5 years of experience in operations, analytics, consulting, or a similar role — ideally in a tech or startup environment. - Have an organized and structured mindset. - Can work independently in a fast-paced environment. Our ideal candidate thrives in a startup or tech company environment and is excited about the opportunity to make a significant impact in a growing company. If this sounds like you, then you might just be the Care Ops we're looking for. We value diversity and encourage individuals from varied experiences and backgrounds to apply. Join our Care team and contribute to our mission of delivering an exceptional user experience. For this opportunity, we are aiming to hire within the B1-C1 level range https://alan.com/en/careers/a/salary-equity. 🙌 PERKS & BENEFITS https://alan.com/about/life-at-alan/a/perks At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary, for permanent contracts only. - Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest. - All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and Bose noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Delightful healthcare insurance. Extremely comprehensive health insurance - 100% of the contribution covered by Alan for you and your family, for permanent contracts only. - Transport. Country-specific commuter benefits. - Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises. - Parental leave. Extended parental leave for all new parents, for permanent contracts only. IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. After reading this job description, if you feel like you don’t have all the necessary prerequisites but that it matches where you are now or what you'd like to grow into in your next position, we encourage you to apply! Not everybody will enter our recruitment process, but all, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. 🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.

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 1,000 employees, 7 billion downloads, $1b+ revenues 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. ROLE SILs are Voodoo's internal consulting team, reporting to the Chief of Staff. You are dropped into the company's most important operational problems with a simple mandate: fix them. You work hands-on with leaders across gaming, apps, growth, and central functions — with the access of an insider and the toolkit of a top consultant. WHAT YOU WILL DO - Improve internal processes — diagnose broken or slow processes, redesign them, and implement the fix (not just recommend it). - Help leaders improve their operations — embed with studio, publishing, or functional leaders to raise the performance of their teams: KPIs, organization, tooling, ways of working. - Run tactical projects — scoped 4–12 week projects: market analysis, cost reviews, post-mortems, integration work, tooling rollouts. - Fix internal issues of many types — ambiguous, cross-team problems nobody owns; you own them until they're solved. WHAT WE'RE LOOKING FOR - 3–6 years at a top strategy consulting firm (MBB, Oliver Wyman, Roland Berger, Kearney, Advancy, EY-Parthenon), in M&A/transaction services, or in a high-performing BizOps/strategy team of a scale-up. - Structured problem-solver with strong analytics (advanced Excel/Sheets; SQL a strong plus). - Doer mentality: implements solutions, works autonomously, handles several workstreams. - Strong interpersonal skills — able to win the trust of leaders quickly without formal authority. - Top academic background (business or engineering). - Fluent English (French is a plus). - Passion for games/consumer apps a plus. WHAT WE OFFER - Consultant-style variety with operator-style impact — and no travel or sales. - Direct exposure to Voodoo's leadership; fast track to operational leadership roles internally. - Competitive package. BENEFITS - Swile Lunch voucher - Gymlib (100% borne by Voodoo) - Premium healthcare coverage SideCare, for your family 100% borne by Voodoo - Wellness activities in our Paris office

Задачи: — Переводить сложные данные в убедительные истории, которые направляют продуктовые решения и стратегию. — Совместно с менеджерами продуктов определять ключевые показатели эффективности (KPI), метрики и измеримые цели, связывающие влияние продукта с бизнес-результатами. — Проектировать, запускать и оценивать A/B тесты и причинно-следственные анализы для измерения влияния новых функций и пользовательских потоков. — Выявлять инсайты, которые помогают оценить возможности, выделить компромиссы и улучшить приоритизацию в дорожной карте продукта. — Сотрудничать с инженерами и командами данных для обеспечения надежных и масштабируемых моделей данных и трекинга. — Создавать дашборды, обеспечивать самообслуживание и повышать грамотность в работе с данными среди продуктовых команд. Требования: — Опыт работы 4+ года в продуктовой аналитике или смежной области, желательно в SaaS или продуктах для конечных пользователей. — Опыт проектирования и оценки A/B тестов и других экспериментальных методов. — Сильные навыки SQL и работы с BI-инструментами (например, Tableau). — Знание Python или R для продвинутого анализа будет плюсом. — Продуктовый склад ума: умение переводить данные в гипотезы, возможности и продуктовые решения. — Хорошее понимание статистики, причинно-следственного анализа и умение отделять сигнал от шума. — Умение ясно и убедительно рассказывать истории, влияя на менеджеров продуктов, инженеров и руководителей. — Проактивность, внимательность к деталям и способность самостоятельно вести инициативы. Условия: — Годовой бюджет на профессиональное развитие. — Щедрая политика отпусков для баланса работы и личной жизни. — Комплексное медицинское, стоматологическое и офтальмологическое страхование для сотрудника и его семьи. — Гибридный формат работы: часть времени дома, часть — в офисе. — Поддержка релокации для сотрудника и его семьи. — Бюджет на профессиональное развитие для посещения конференций, тренингов и курсов. — Бесплатные обеды и закуски в офисе.

Задачи: — Проектировать архитектурные решения совместно с командой; — Собирать, анализировать и согласовывать бизнес- и системные требования; — Описывать API, интеграции, процессы (UML/BPMN); — Взаимодействовать с разработчиками, архитекторами, ИБ и владельцами продукта; — Участвовать в тестировании, приемке функционала и сопровождении разработки; — Работать с Jira и Confluence, поддерживать актуальность документации. Требования: — Опыт работы системным аналитиком от 3 лет в финтехе, банках; — Английский язык на уровне B2 - C1 (обязательно для коммуникации с иностранными коллегами и клиентами); — Практический опыт работы с BPMN/UML; — Уверенный SQL (JOIN, оконные функции и др.); — Четкое понимание REST/SOAP, JSON/XML, Swagger; — Опыт работы с инструментами Jira, Confluence; — Навыки написания качественной технической документации. Плюсом будет: — Опыт в биометрии, криптографии, ЭП; — Знание и опыт работы по методологии docs-as-code. Условия: — Гибкие форматы сотрудничества (ИП или ТК РФ с прозрачными выплатами); — Удобный формат на выбор: гибрид в Москве или полноценная удалёнка по регионам РФ; — Работа в стабильном и технологичном финтех-домене над сложными задачами; — Полное отсутствие бюрократии и реальное влияние на архитектуру систем.