Fraud Data Analyst

FREENOW

Location: We are flexible! Come and join us either in Hamburg, Berlin or Barcelona  Freenow by Lyft empowers smarter mobility decisions helping people to move freely and cities to thrive. We are looking for a Data Lead for our FinTech Product organization (m/f/d) to drive data-centric strategy across our financial products and fraud prevention capabilities. You will use data to balance growth, user experience, and marketplace risk — ensuring our payment, payout, and fraud prevention products are safe, scalable, and high-performing. Be ready to work in a multinational, diverse, highly motivated and collaborative team of passionate data professionals who strive for excellence and like to have fun. Are you ready for your next ride? YOUR DAILY ADVENTURES WILL INCLUDE: The FinTech Data team plays a pivotal role in driving data-centric processes, analyses, experiments, and strategic development for the FinTech Product organization.  As the Lead of the FinTech Data team, you will be at the forefront of translating data insights into tangible business value. Working in close collaboration with Product leaders in Fraud & Risk, Payments, and User Experience topics, you will establish effective communication channels between the data team and the broader Product  organization. Your role will extend to collaborating with fellow Data Leaders and Principals, fostering cross-domain teamwork, and ensuring the adoption of industry best practices. Your primary responsibility will be to lead a dynamic cross-functional data team consisting of Data Analysts, Data Scientists, and Data Engineers. Through your leadership, you will empower and coach the team, enabling them to deliver optimal results across FinTech’s critical domains. If you are eager to uncover new potential and contribute to propelling Freenow to a stronger position, here is your chance to make a significant impact. In more detail this means…  * By using strategic thinking based on the FinTech business function and company’s strategy, help the team to identify, understand, structure, and solve complex problems across payments, fraud prevention, credit risk, and payout operations, and improve and productionize high-value data products * Owning and advancing fraud prevention data procedures, balancing customer experience with risk mitigation. Guide the team on identifying fraud patterns, building creditworthiness models, and ensuring the right balance between prevention and user conversion * Motivating your team to deliver amazing data products by focusing on the outcome rather than output, besides ensuring that the team has the right level of information to make informed decisions across all FinTech domains * Aligning with your stakeholders to deliver the highest impact with available capacities, always seeking to improve the existing and striving for decisions and actions that drive our business’s success * Ensure we are launching valuable experiments, with reliable test designs, besides using statistical methods to measure the impact of FinTech features and risk-related improvements, and make sure that we are launching the correct changes in our financial products * Mentoring and coaching team members in order to help them grow professionally to the next level, cultivating a growth and continuous learning mindset, leading by example and being a role model * You will steer our FinTech products’ data strategy, informing which features should be developed and which changes should be made to ensure safe, scalable, and efficient financial flows for millions of users TO BE SUCCESSFUL IN THIS ROLE: * You have curiosity in your essence, which motivates you to answer WHY things happened, not only scratching the surface, but aiming for well-founded actionable results * Previous experience in leading and developing top performing data teams, preferably within tech, product, or FinTech organizations. Experience managing cross-functional teams with mixed data disciplines (Analysts, Scientists, Engineers) is highly valued * Exceptional analytical skills, lateral thinking, and proven experience in solving highly challenging problems  * A history of leading and supporting successful data projects and the ability to define and communicate project objectives, resources, timelines and methodologies clearly to all stakeholders * Understanding of payment processes, fraud prevention, and credit risk. Familiarity with industry standards, fraud patterns, and creditworthiness modelling is a strong advantage * Hands-on mentality, not afraid to proactively get their hands dirty in order to accelerate the generation of new insights * Very good knowledge of SQL, databases, and statistical programming tools (e.g. Python, R) * Good understanding and hands-on experience in analysing and interpreting A/B test results, backed by statistical knowledge. Experience in causal methodologies is a plus * You understand how to engage and influence decision-makers by using data visualisation and storytelling * Have excellent English communication skills, being capable of interacting and coordinating with internal and external stakeholders in steering end-to-end processes and projects BENEFITS & PERKS IN A NUTSHELL: * Hybrid working models * Subsidised gym membership * Sabbatical & time off * Partner product discounts * Birthday-off * Personal development budget * Mobility budget for FREENOW App * Employee assistance program Plus more local benefits depending on your work location! DIVERSITY, EQUITY & INCLUSION: FREENOW is an equal opportunity employer and we consider qualified applicants regardless of race, religion, national origin, gender, gender identity, sexual orientation, disability or age. We want you to grow and evolve, bring your true self to work.  ABOUT US: Freenow by Lyft empowers smarter mobility decisions, helping people to move freely and cities to thrive. Through our multi-mobility app, we feature broad options for everyone across 9 European markets and over 180 cities. Millions of passengers can access services including taxis, private hire vehicles, carsharing, car rental, e-scooters, e-bikes, e-mopeds, and public transport within a single app.  In July 2025 Freenow was acquired by Lyft, a global mobility platform, which connects riders and drivers for billions of rides across North America and Europe. Together, Freenow and Lyft are creating a more caring and connected world, with transportation for everyone. We are a global, diverse, highly motivated, and collaborative team that strives for excellence and likes to have fun. Ready for your next ride?

Heetch

About the Role We’re looking for a Staff Data Scientist to shape the future of our marketplace through advanced analytics, experimentation, and machine learning. You’ll define the technical direction of data science initiatives, influence product strategy, and mentor other data scientists to elevate our analytical standards and impact. As a Senior Technical Leader, you’ll partner closely with Product, Engineering, and Operations teams to turn data into decisions that improve reliability, growth, and user experience across markets. What You’ll Do - Lead data science initiatives with company-wide impact — from experimentation frameworks to ML systems and causal inference methods - Define best practices and standards for experimentation, modelling, and analytical excellence across teams - Partner with Product and Engineering leadership to identify and prioritise high-leverage opportunities - Develop and deploy scalable models and data products that drive measurable business outcomes - Mentor and coach other data scientists and analysts, helping them deliver higher-impact work - Communicate insights and recommendations to senior leadership, influencing product and growth strategy - Contribute to Heetch’s data platform evolution, ensuring data quality, reliability, and efficiency at scale You’ll Thrive In This Role If You - Have a deep understanding of statistics, experimentation, and causal inference, and know how to apply them pragmatically - Are fluent in Python, SQL, and modern data/ML tooling - Have experience bringing ML models into production and measuring their long-term business impact - Are skilled at translating complex technical findings into actionable business insights - Are a collaborative leader who mentors peers and sets high standards for analytical rigor and impact - Have 7+ years of experience in data science, ideally with 2–3 years in a Staff-level or tech-lead capacity Nice to Have - Experience in marketplace or pricing systems (supply–demand modelling, matching, or fraud detection) - Experience leading data science guilds, chapters, or communities of practice - Familiarity with MLOps, feature stores, or causal inference frameworks

Back Market

HI, WE’RE BACK MARKET. We’re here to help make tech reliable, affordable, and better than new. We're a global marketplace for refurbished devices, helping lower our collective environmental impact by providing trustworthy, affordable tech with 92% less carbon emissions than new. Yep, you read that right. Turns out refurbished tech is way better for the planet than new. In fact, With every device purchased on Back Market, our positive impact on the planet grows. From our Customer Care representatives to our software engineer, every individual at Back Market cuts the planet — and consumers — a break. Our mission is simple: to do more with what we already have. Are you ready to join us? DESCRIPTION We're looking for a strategic Head of Analytics (Care & Shipping) to drive data-driven decision-making in our Customer Care and Shipping operations. You'll ensure Customer Care is a competitive advantage for Back Market by building trust through exceptional experiences, and that our Shipping operation delivers seamless post-purchase journeys. You bring deep expertise in analytics, user research, and commercial strategy. You'll unlock actionable insights from marketplace, customer care, and logistics data to drive first class customer experience and operational efficiency. This role is perfect if you're passionate about measuring and improving customer satisfaction while optimizing operational effectiveness. If you thrive on crafting scalable data strategies, influencing decisions through analytics, and sabotaging the notion that great care has to be expensive—you're in the right place.   YOUR MISSION (IF YOU ACCEPT IT): 🥇 You'll drive analytics strategy across Customer Care and Shipping to elevate satisfaction, reduce costs, and improve delivery experience. Your insights will directly influence BPO performance, AI automation, carrier selection, and product roadmap priorities. Key Responsibilities: * Own satisfaction metrics across all care channels, diagnosing root causes and delivering actionable insights that improve resolution quality and reduce cost per contact * Build measurement frameworks for AI-powered care tools including agent QA scoring, volume forecasting, and automation ROI evaluation * Lead shipping analytics strategy: drive OTD improvement, carrier performance monitoring, and fraud detection while optimizing BackShip adoption * Partner with Product and Operations to quantify how product improvements impact care demand, translating findings into roadmap priorities that reduce Contact Rate * Provide data-driven scorecards for BPO partners and sellers, ensuring they meet Back Market quality standards • Develop end-to-end shipping economics models connecting logistics KPIs to customer retention and marketplace trust * Lead and mentor a team of analysts and analytics engineers, cultivating data-informed decision-making across the organization * Own analytics engineering: build scalable data pipelines in BigQuery and optimize data models for effective AI-enabled analysis   YOU ARE IN THE RIGHT PLACE IF: ⭐ You have: * 7+ years of experience in analytics or user research, with proven marketplace experience driving exceptional customer outcomes * Excellent analytical skills combined with effective use of qualitative data and user research to deliver actionable insights * Comprehensive knowledge of key metrics: NPS, CSAT, Order Cycle Time, Perfect Order Rate, and their strategic drivers * Strong understanding of how product experience impacts customer care demand and resolution * Experience with customer care automation and AI tools (both customer-facing and internal) to improve operations * Excellent communication and project management skills—you simplify complex concepts for diverse audiences * Strong ability to manage cross-functional teams and collaborate with stakeholders including BPOs and external partners * Familiarity with BigQuery and advanced data analytics skills Nice to have: * Knowledge of data science applications for customer care, such as predictive modeling for volume forecasting * Experience in logistics and shipping analytics * Proficiency with Customer Care systems such as Intercom and Zendesk WHY SHOULD YOU JOIN US ? ✌🏼 At Back Market, we’re committed to hiring and supporting diverse teams of people from all backgrounds, experiences, and perspectives — it’s one of the reasons we’re such a high-scoring certified B Corp company (93.2). No matter your role and seniority level, you’ll enjoy impact-driven work with hands-on career development in an innovative, driven, and fast-paced environment — with benefits to match, like: - A mission driven work environment where your day to day makes an impact on the planet. Seriously. - Hybrid work environment, with 2 remote days a week and 1 remote work week per quarter, plus 3 flex days. - Employee Resource Groups, including mentorship programs, comprehensive accessibility policies, and cultural competency training. At Back Market, we strive to create a workplace that embodies the world we’re trying to change. We’ve embedded our diversity, equity, and inclusion principles into our DNA — from dedicated staff to employee resource groups to our company values. We know that the perfect background for a role doesn’t mean the perfect fit — we encourage you to apply for a role even if you think you may not have all the qualifications. If reasonable accommodations are needed for the interview process, please do not hesitate to discuss this with the Talent Acquisition Team.