Senior Product Analyst (TeamCity)

Zopa

Our Story   Hello there. We’re Zopa.   We started our journey back in 2005, building the first ever peer-to-peer lending company. Fast forward to 2020 and we launched Zopa Bank. A bank that listens to what our customers don’t like about finance and does the opposite. We’re redefining what it feels like to work in finance. Our vision for a new era of banking puts people front and centre — we’ve built a business that empowers everyone to aim high, every day, to move finance forward. Find out more about our fantastic offerings at Zopa.com!    We’re incredibly proud of our achievements and none of it would be possible without the amazing team here. It’s not just industry awards we’re winning, we’ve also been named in the top three UK’s Most Loved Workplaces.    If you embrace unconventional challenges, are unafraid to think differently and are driven to make an outsized impact, you’ll thrive here at Zopa, so join us, and make it count. Want to see us in action? Follow us on Instagram @zopalife The role We’re looking for a Senior Product Analyst to join our AI Tribe. This is a hands-on, builder-style role for someone who thinks in experiments, writes code daily, and is as comfortable building a prototype evaluation framework as they are presenting findings to a product lead. The role is technical at its core: you’ll be writing SQL and Python to dig into enrichment performance, building evaluation pipelines to test AI-driven approaches, and prototyping experiments that push the accuracy of our transaction intelligence forward. At the same time, this isn’t a data science role — you’ll be expected to prioritise ruthlessly, move fast, and care about outcomes, not just model performance. The AI tribeThe AI Tribe sits at the heart of how Zopa turns data into intelligent products. We build and evolve the capabilities that transform raw transaction data, Open Banking data, and other behavioural signals into reliable, structured intelligence. A core focus of the tribe is transaction intelligence — how raw transaction data is enriched, categorised, structured, and made usable across the business. This includes merchant and category enrichment, data quality and consistency, and ensuring transaction data integrates cleanly into our broader data models and customer-facing products. As we move toward more AI-first ways of working, the tribe is also rethinking how transaction data should be accessed and used — not just by analysts and product teams, but by AI systems and LLM-powered tools. The work is foundational and long-term in nature: improving systems, shaping strategy, and building capabilities that compound in value over time.

Engine

ABOUT ENGINE At Engine, we’re transforming business travel into something personalized, rewarding, and simple. For too long, managing travel and spend has been overwhelming and fragmented — we’re here to change that. We believe the future of travel should be seamless and powered by technology that delights customers at every step. That’s why we’re building a platform that brings together corporate travel, a powerful charge card, and modern spend management in one place. To make this vision real, we’re looking for exceptional, mission-driven people to help redefine how businesses manage and experience travel. More than 30,000 companies already rely on Engine to support over 1 million travelers and billions in annual bookings each year. Cash flow positive with rapid growth, we pair exclusive Engine-only rates, industry-leading rewards, and intelligent automation to help businesses save money while delivering world-class personalization and convenience. Backed by Telescope Partners, Blackstone, and Permira, Engine has been recognized as one of the fastest-growing travel and fintech platforms in North America, with honors including the Deloitte Fast 500 and Built In’s Best Places to Work. YOUR MISSION We are seeking a Senior Product Data Analyst to join the Omni product team. Omni is Engine's hotel booking infrastructure product, built for external companies that want to embed hotel booking directly into their own platform. It delivers Engine's full inventory, pricing, payments, and support through two integration paths: Omni Swift, a low-code hosted storefront that gets partners live in days, and Omni Halo, a full API for companies that want to own the complete booking journey from search to payment. With 1M+ properties across 185+ countries and 30M+ hotel nights already processed on Engine's underlying infrastructure, the data layer here is genuinely rich and complex. Data is a core competency of Engine, and this role sits at the intersection of product development and analytical rigor. You will be embedded directly in the Omni product org, working alongside product managers, engineers, and designers to shape how Omni evolves. This is a high-autonomy role for someone who doesn't wait to be asked, you'll bring insights to the table before anyone thinks to request them, design and run experiments that validate product bets, and translate booking-scale data into decisions the team can act on. WHAT YOU'LL DO * Design, run, and analyze A/B tests and product experiments across the Omni funnel — from hypothesis definition and instrumentation validation through results analysis and recommendation. * Proactively surface insights to product managers: anomalies in booking behavior, partner conversion degradation, funnel drop-offs, and pricing patterns that signal an opportunity — before anyone asks. * Own deep visibility into the Omni search-to-booking funnel; identify where and why partners and travelers drop off, model the impact of product changes on conversion, and connect funnel performance to revenue outcomes. * Build and maintain analytics that track partner performance across Omni Swift and Halo — activation rates, booking volume, revenue share, API health, and feature adoption. * Analyze how real-time pricing, inventory availability, and AI-driven pricing signals affect search quality, conversion, and revenue; surface patterns that inform pricing strategy and product decisions. * Monitor and analyze API and product health metrics — latency, search response quality, error rates, content deduplication effectiveness — and translate technical signals into product and business implications. * Partner closely with Omni PMs as an embedded analytical resource: contribute to PRDs with data, challenge assumptions with analysis, and ensure the analytical voice is present in every product decision and roadmap prioritization. * Leverage advanced SQL to explore large, complex datasets — booking events, search logs, pricing signals, and partner activity — and uncover key insights at scale. * Independently investigate open-ended product and business questions; identify patterns, quantify opportunities, and deliver actionable recommendations to product and senior leadership. * Identify instrumentation gaps and partner with engineering to ensure the right events are captured; collaborate with analytics engineering to build clean, reusable data models that enable self-service analysis across the team. WHAT WE'RE LOOKING FOR * Bachelor's degree in Data, Economics, Statistics, Computer Science, Operations Research, or a related quantitative field. * 4+ years of relevant experience in product analytics or data analytics, with meaningful time spent embedded in a product or engineering org. * Strong SQL skills with experience building complex queries across large datasets; hands-on experience with Snowflake. * Experience with HEX or a comparable collaborative notebook environment for analysis and stakeholder delivery. * Solid grounding in experiment design and statistical analysis — A/B testing, power analysis, significance testing, and awareness of common pitfalls like novelty effects and sample ratio mismatch. * Experience analyzing conversion funnels, user journeys, and event-based behavioral data; comfortable thinking in cohorts, sessions, and sequences. * Strong communication skills with the ability to translate complex analytical findings into clear, actionable perspectives for PMs and product leadership. * Inquisitive mindset with a bias toward proactive investigation — you dig into the 'why' behind performance trends without being prompted. * Experience with a B2B API product, developer platform, marketplace, or technical product where the end user is a partner or business is a plus. * Familiarity with dbt or experience working closely with analytics engineering teams to build reusable data models is a plus. WHY JOIN US * Work on a genuinely complex data problem — booking events, pricing signals, API performance, and partner behavior at scale across 1M+ properties and 30M+ hotel nights processed. * Be embedded in a product team where your analysis directly shapes the roadmap — not just reports on it. * Join a data-driven culture that values curiosity, ownership, and continuous improvement, with real opportunities for growth and impact. Compensation Our compensation packages are based on several factors, including your experience, expertise, and location. In addition to a competitive base salary, total compensation may include equity and/or variable pay (OTE). Your recruiter will share your complete compensation package as you move through the process. Base Pay Range $114,665—$158,700 USD The Engine Edge: Perks & Compensation We believe in rewarding great work with great benefits: * Compensation: Competitive base pay tied to role and experience, with opportunities for bonuses, commissions, and equity. * Benefits: Check out our full list at engine.com/culture. * Environments for Success: Different roles have different needs in terms of the environments that drive success which is why we have a hybrid-hub model. Whether you are in one of our amazing offices or fully remote, we’ll make sure you have what you need to succeed. Perks and benefits may vary based on employment type, location, and more. Ready to Build the Future of Work Travel? Join us on our mission to transform how work travel works—for businesses, for travelers, and for the industry. Apply now and let’s make travel simpler, smarter, and more enjoyable—together.

Alma

🧡 ABOUT ALMA At Alma, we believe sustainable commerce depends on fair, well-balanced trade. Because finance plays a pivotal role in business, our mission is to put it back in its rightful place - serving merchants and consumers.   Our installment and deferred payment solutions help merchants boost sales by 20% or more, increase customer loyalty, and deliver a seamless shopping experience - without encouraging bad debt.   As the buy now pay later leader in France and active in 10 European countries, we've empowered over +25,000 merchants and 10 million consumers.   With 380+ Almakers and €100M+ ARR, Alma is scaling rapidly across Europe as a member of the Next40, and we're just getting started!   👐 ABOUT THE TEAM You will join the Product Analytics team, currently composed of Louis and Camille, embedded within the wider Data Analytics organization (Eng > Data & AI > Data Analytics). The team's mission is to enable the Product organization through data — from discovery to impact measurement.   You will report to Louis, Product Analytics Manager, and collaborate closely with a product organization of 11 Product Managers, Product Design, and Product Marketing teams. You will own the Core Tribe, which sits at the heart of Alma's product — covering financial flows, risk & scoring, and payment lifecycle. The PMs in this tribe are notably data-savvy, making it a particularly exciting scope to work on.   This position is a CDI based in Paris.   💼 ABOUT THE JOB Be the data partner for the Core Tribe * Work hand in hand with 3 product squads (Core Finance, Risks, Payment Lifecycle) to assess the impact of key initiatives, support discoveries, and provide data-driven recommendations that directly influence product prioritization. Own and scale the analytics foundations of your scope * Audit existing models and pipelines, revamp key data models, and build the dashboards needed to track your tribe's most important metrics — ensuring data is reliable, accessible, and actionable. Design and run experiments * Implement A/B tests and experimentation frameworks to evaluate product features with statistical rigor, helping squads make confident, evidence-based decisions. Raise the bar across the Product Analytics team * Contribute to internal tooling, challenge existing approaches, and help define best practices that improve the whole team's standards and impact — not just your own perimeter.   🧰 YOU WILL WORK WITH SQL, BigQuery, dbt, Argo Workflow, Looker, Google Colab, Claude Code, Segment, Rudderstack, Python   🧩 ABOUT YOU To succeed in this job * 2 to 5 years of experience in Product Analytics, preferably in a fast-growing tech or fintech environment * Strong proficiency in SQL and solid grasp of statistical analysis and experimentation methodologies (A/B testing, significance, causality) * Excellent communication skills — able to translate complex data insights into clear, actionable recommendations for both technical and non-technical stakeholders * Genuine curiosity and eagerness to work with AI-assisted tools (Claude Code) as part of your daily workflow * Proficiency in French & English And it will be nice if you also * Are comfortable with Python for data manipulation and analysis * Have hands-on experience with dbt, BigQuery, or GCP * Have worked with tracking tools such as Segment or Rudderstack * Hold a degree in a quantitative field (Computer Science, Statistics, Engineering, or similar) Don't meet every single requirement? At Alma, we believe great hires come from diverse paths. If this role excites you, we encourage you to apply. We value potential, curiosity and the ability to grow as much as experience.   🧘 ABOUT THE ROLE If you join, you will be able to grow and impact on: * A team with serious momentum — the Product Analytics team went from 1 analyst at end of 2024 to 3 today. You'll be joining at a pivotal moment, with a lot still to build in terms of tools, processes, and best practices. * Full ownership of a high-stakes tribe — the Core Tribe covers the financial, risk, and payment foundations of Alma. You'll have a clear perimeter and real latitude to shape how data is used within it, alongside data-savvy PMs who speak your language. * Broad impact beyond your scope — from month 9, you'll be expected to contribute to raising standards across the whole Product Analytics team. This is a role where growth is structural, not just a promise.   🤑 COMPENSATION & BENEFITS * Competitive salary based on 12 months * Profit-sharing and employee savings plan * Health insurance: 100% covered by Alma including family package * Disability insurance: 100% covered by Alma * Sport: partnerships with Gymlib and Classpass, or €30/month reimbursement for your sports activities * Maternity/paternity leave: salary maintained at 100% during leave with no seniority requirement. Return to work at 4/5 schedule paid at 100% for 8 weeks. * Sustainable Mobility Package (FMD): €544.80/year (excluding full-remote contracts) * Meal vouchers: €10/day, 50% covered by Alma * Mental health: free access to MindDay platform * Paid time off: 25 days/year (+ additional paid leave granted for employees on executive contracts) * Access to our Learning & Development Platform * 2 weeks of full remote possible per year in summer   🎯 INTERVIEW PROCESS * Video call with a Talent Acquisition team member to understand your path, motivation & present you the role. * Video call with your future manager to deep dive the role, the team, your profile and answer all your questions. * Case study presentation with 2 - 3 team members (ideally in house) to assess your practical knowledge. * 1 or 2 additional interviews customized to the role's level to further assess your skills and team fit.   🌍 DIVERSITY & INCLUSION At Alma, we believe that diversity fuels innovation and makes our community stronger. We are committed to building a workplace where every person feels seen, respected, and empowered to do their best work whatever their gender, background, ethnicity, age, sexual orientation, religion, disability or lived experience. As an equal opportunity employer, we welcome applicants from all walks of life, and all employment decisions are made based on qualifications, merit, and business needs.