Senior Manager, Product Data Analyst

Contentsquare

Contentsquare is the all-in-one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers’ whole online journey.   We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We’re here to stay—and we’re looking for team members who are excited to drive impact and help us scale even further.   Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. We invite you to join us in making the complex simpler—for our customers, their customers, and each other.   Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. Any communication from our in house Talent Acquisition team will only ever come from our contentsquare.com or @contentsquare-ext.com domain. For more information, visit our careers blog. As a Product Data Analytics Senior Manager, you will lead and develop a team of three analysts dedicated to our core product for all sales-driven business (another data analytics manager handles our self-serve initiatives). In close collaboration with the SVP of Product, you will leverage data with your team to drive strategic decision-making and optimize product performance. This role is integral to our product team, ensuring data-driven decisions guide our product strategy and innovation efforts.    You’ll join the Product Insights department, composed of the Product Data Analytics team and Product Research team. In charge of having a 360 customer knowledge view, we combine quantitative and qualitative insights to inform the product roadmap.  Reporting to the Senior Director of Product Insights, you will ensure your team is aligned with the broader company goals and operates with the velocity required to influence strategic decision-making. 

Tripadvisor

About Tripadvisor We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique perspective and experiences, so we can collectively revolutionize travel and together find the good out there. Tripadvisor is the world’s largest online travel site, visited by 390 million travellers each month, and our Experiences business, Viator, is a fast-evolving and highly data-driven part of the organisation. At Viator, data is at the heart of how we build great products. We use it to understand our customers, improve decision-making, and drive measurable business impact.   About the role: As a Senior Manager of Product Data Science, you will be a key leadership figure within the Product Data Science organisation, responsible for building and scaling a high-performing team of Analysts and Data Scientists embedded within Product domains. You will not only deliver impact through your team, but also raise the overall analytical and technical bar of the organisation, ensuring data science, experimentation, and product analytics are consistently applied at a high standard across multiple product areas. You will act as a force multiplier for decision-making quality, improving how Product, Engineering, Design, and Commercial teams use data to shape strategy, prioritise work, and evaluate impact. What You’ll Do  * Lead, develop, and grow a team of Product Analysts and/or Data Scientists, ensuring consistently high performance, strong technical standards, and clear ownership of impact. * Drive effective goal-setting, planning and execution processes across Product Data Science, bringing leadership and discipline to OKRs, prioritisation and delivery against strategic objectives.  * Set and continuously raise the bar for analytical quality, experimentation rigour, and data science application across your teams, ensuring outputs are robust, actionable, and decision-oriented. * Act as a senior technical and strategic leader, reviewing and shaping high-impact analytical work, experimentation design, and advanced modelling approaches where required. * Partner closely with senior Product, Engineering, Marketing, and Commercial leaders to define priorities, shape roadmaps, and ensure data science is embedded in strategic decision-making. * Translate ambiguous business problems into structured analytical and data science problems, ensuring your team delivers clear, commercially meaningful recommendations. * Drive adoption of scalable analytical frameworks, experimentation standards, and AI-enabled tooling to improve efficiency, consistency, and speed of decision-making across teams. * Champion best practices in experimentation, causal inference, segmentation, and customer understanding, ensuring statistical and analytical rigor across the organisation. * Build and maintain strong partnerships with Data Platform, Data Engineering and other central data functions, ensuring the team can effectively leverage shared capabilities while influencing the long-term data ecosystem.  * Build and evolve the team’s capability through hiring, coaching, and performance management, ensuring strong technical depth and leadership within the function. * Identify and remove systemic blockers to high-quality analytics delivery, improving tooling, processes, ways of working and organisational effectiveness across Product Data Science while leading change that enables the team to scale.  * Influence and align cross-functional stakeholders across multiple product domains, ensuring clarity, prioritisation, and strong decision-making discipline.   Skills & Experience  * Experience: Extensive experience in data science or a similar quantitative role, with a proven track record of supporting and influencing a product organization. * Technical & Modeling Expertise: Expert Level proficiency in Python and SQL. Deep, hands-on experience with statistical modeling, (quasi) experimentation, multi-arm bandit, and a wide range of machine learning techniques (e.g., Regression, Classification, Clustering).  * Product Acumen: Demonstrated ability to define, implement, and operationalise crucial product and feature-level metrics from scratch.  * Strategic Influence: A proven track record of driving strategic impact through proactive and collaborative approach with the proven ability to lead technical discussions, drive product strategy, and communicate complex insights effectively to cross-functional partners (e.g., Product, Engineering, Design).  * Scaling Impact: Experience scaling analytics or data science capabilities, driving impact through the creation of automated processes, self-service tools, or data products.  * Critical Thinking: Leader in critical thinking, your previous experience will demonstrate the analysis of available facts, evidence, observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation.  * Leadership: Outstanding leadership skills, with experience in mentoring, coaching, and developing teams of analysts or data scientists.  * Collaboration & Communication: Exceptional collaboration and communication skills, with the ability to engage, influence, and inspire cross-functional partners at all levels.  * Cross-Functional Partnership: Proven ability to build strong relationships and drive outcomes across Product, Engineering, Data Platform and other central functions, often without direct authority.  * Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.    You could be an especially great fit if you have: * Experience working within a high-scale technology company, marketplace, e-commerce business, or travel technology organisation. * A strong technical background in Product Data Science, Data Science, Experimentation, or Machine Learning before moving into leadership roles. * Experience building and scaling experimentation platforms, measurement frameworks, self-service capabilities, or data products. * Experience applying AI, Large Language Models (LLMs), Agentic AI, or automation technologies to improve analytics productivity and decision-making effectiveness. * Experience leading organisational change, improving analytical maturity, and raising standards across multiple teams or functions. * A reputation for raising the standard of thinking, execution, and decision-making in every team and organisation you join.       #LI-Remote #LI-SM1         #LI-Hybrid #LI-SM1

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.