• Develop and implement business improvements, including: Provide real time analysis of our loan portfolio and new loan originations to identify and understand items that could substantially impair portfolio returns • Detect quality breakdowns in our credit/underwriting system that create credit, legal, or bank partner focused compliance risks • Drive improvements in credit performance by finding pockets of low risk consumer where we can approve more loans • Use multivariate statistical/predictive models to conduct diagnostic analysis to answer key business questions • Analyze sales and digital application funnels to identify areas of opportunity to generate additional originations • Develop PowerPoint presentations that summarize your analysis and your recommendations. Present your findings to VP level Executives. • Measure the likely cost and benefit of business improvements • Leverage combination of following to drive actionable business insights: Financial modeling, SQL, Python, AI tools, hypothesis testing, statistical analysis and forensic analysis • Design portfolio monitoring, processes, and controls for managing credit risk and identifying root causes of changes in loan performance • Play an active role to drive your proposals all the way into implementation – you will be required to be hands on to make this happen and ensure your proposals deliver desired business results.

• Develop and implement business improvements, including: Provide real time analysis of our loan portfolio and new loan originations to identify and understand items that could substantially impair portfolio returns • Detect quality breakdowns in our credit/underwriting system that create credit, legal, or bank partner focused compliance risks • Drive improvements in credit performance by finding pockets of low risk consumer where we can approve more loans • Use multivariate statistical/predictive models to conduct diagnostic analysis to answer key business questions • Analyze sales and digital application funnels to identify areas of opportunity to generate additional originations • Develop PowerPoint presentations that summarize your analysis and your recommendations. Present your findings to VP level Executives. • Measure the likely cost and benefit of business improvements • Leverage combination of following to drive actionable business insights: Financial modeling, SQL, Python, AI tools, hypothesis testing, statistical analysis and forensic analysis • Design portfolio monitoring, processes, and controls for managing credit risk and identifying root causes of changes in loan performance • Play an active role to drive your proposals all the way into implementation – you will be required to be hands on to make this happen and ensure your proposals deliver desired business results.

Title: Experienced Data Analyst (Ad-network) Location: Paris United States Employment Type: Full time Location Type: Hybrid Department: Engineering & Data Job Description: 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 Voodoo Ad-Network is an autonomous product of around 30 people that carries the ambitious mission of providing ad network services. One goal is to leverage Voodoo's first-party data to improve Voodoo's monetisation. Moreover, the product is growing through new ventures like opening up to external inventory, reaching the external-advertisers market and social-network monetisation through BeReal's recent acquisition. Thanks to promising results, our ambition is now to scale up the team to support growth. The Ad Experience team owns the end-to-end quality of the ads delivered by our network, from ad rendering to data collection. It has a strong focus on viewability, tracker integrity and the diagnostic signals that feed our Machine Learning models. It's composed of mostly senior Software Engineers, Mobile Developers, QA Engineers and Full Stack Engineers who iterate together to detect issues quickly, improve the user-side ad experience and protect the quality of the data flowing back into the product. Role We're looking for an Experienced Data Analyst to join our Engineering & Data team. In this role, you will: - Work on end-to-end data projects with the Ad Experience squad to improve ad delivery quality, reduce ad-load and rendering failures, and maintain a high data quality. - Monitor SDK diagnostic events and build alerting, anomaly detection and root-cause analyses on top of the Ad Experience datasets. - Build data collection and transformation pipelines, and actionable dashboards. - Analyze large, complex data sets with billions of events representing the behaviour of mobile game players and of our ad network to investigate ad-quality regressions, attribution discrepancies and SDK rollouts. - Design solutions from scratch, iterate quickly, create POCs, and deploy to production rapidly. - Occasionally leverage Python skills and Statistics skills to support A/B tests on ad-experience changes Profile - You possess substantial experience in analytical roles, ideally within a web or mobile company or the tech or ad tech industry. - You are highly skilled in SQL and have a proven track record of building production-ready pipelines that handle large and complex data sets. - You have solid experience in ETL development. - You have solid experience with DBT. - You have practical experience with Tableau or another standard dashboard platform, and can create dashboards that are shared company-wide, facilitating data-driven decision-making across departments. - Advanced knowledge of statistical tools and models will be considered a significant advantage. - Development skills, particularly in Python, will be considered a significant advantage - You enjoy working in a fast-paced environment and are able to balance the tradeoff between time-consuming development and rapid results. - You have a solid problem solving mindset as well as a great track record demonstrating ownership and ability to come up with innovative ideas. - A BA/B.Sc degree in Statistics, Math, Engineering, Economy, or other quantitative fields is mandatory for this role. Our Stack - DBT; Tableau; SQL; Athena; Spark; Python 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

Role Description Our client is looking for a Senior Data Analyst who can operate as a strategic analytical partner — someone who can independently investigate business problems, influence marketing investment decisions, and uncover actionable insights that directly impact revenue, contribution margin, and growth efficiency. You will work closely with leadership and collaborate across Growth, Finance, and Operations teams in a highly analytical and fast-moving environment. This role follows European/Israel working hours. Responsibilities - Analyze revenue, contribution margin, CAC, LTV, refund behavior, and acquisition efficiency across channels and geographies - Partner closely with Growth and Paid Media teams to evaluate channel performance and budget allocation - Build cohort analyses, funnel analyses, attribution logic, and performance monitoring frameworks - Identify revenue leakage, operational inefficiencies, and growth opportunities through deep analysis - Translate complex datasets into clear business recommendations for leadership - Build scalable reporting and KPI frameworks on top of a modern warehouse environment - Support forecasting, anomaly detection, experimentation analysis, and decision support initiatives - Collaborate with Data Engineering to improve data quality, modeling, and infrastructure - Leverage AI-powered workflows and tooling to accelerate analytics, SQL development, documentation, and operational efficiency Qualifications - 5+ years of hands-on experience in Marketing Analytics, Growth Analytics, Product Analytics, or Performance Analytics - Strong experience supporting ecommerce, DTC, B2C, or consumer-focused businesses - Advanced SQL proficiency, including joins, window functions, cohort logic, attribution analysis, and large dataset querying - Experience working directly with warehouse-based analytics environments such as BigQuery, Snowflake, Redshift, or similar - Experience with BI and visualization platforms such as Looker, Tableau, or Looker Studio - Strong understanding of ecommerce unit economics, including CAC, ROAS, MER, LTV, payback periods, contribution margin, and funnel performance - Experience partnering with Paid Media, Growth, or Marketing teams on performance analysis and optimization - Demonstrated ownership of analytical initiatives with measurable business impact - Comfortable operating independently in ambiguous, fast-paced environments - Practical experience using AI tools such as ChatGPT, Claude, Cursor, Copilot, or similar within analytics workflows - Strong written and verbal English communication skills Benefits - Fully remote opportunity - Open to candidates based in Europe - Competitive compensation and benefits based on experience