Senior Product Data Analyst (f/m/d)

Awin; Warszawa; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Flexi-Week

Flexi-Office

Expense allowance

Remote furniture

Private medical insurance

Meal vouchers

Screen glasses subsidy

Awin Academy

Peer recognition programmes

Job summary

Awin in Warszawa is seeking a Senior Product Data Analyst to help our product teams make better decisions by bringing quantitative evidence into discovery, prioritisation, experimentation and delivery. Sitting within our Product & Tech organisation, you'll work closely with Product Managers, Designers, Researchers and Engineers to ensure decisions are grounded in evidence.

You’ll connect behavioural product data with qualitative research and commercial insight to help teams identify

Qualifications

• Experience in product analytics, product data or BI roles.
• Proficient in SQL and able to handle large datasets.
• Experience with analytics platforms like Amplitude and BI tools.
• Skilled at defining hypotheses, metrics and success criteria.
• Excellent cross-functional collaboration and communication.

Responsibilities

• Partner with cross-functional product teams to shape strategy using data.
• Turn goals and hypotheses into measurable outcomes and metrics.
• Analyze journeys, funnels, activation, engagement and retention.
• Identify patterns and opportunities for product improvement.
• Build dashboards and self-service reports linking product performance to business outcomes.
• Collaborate with Product and Engineering to define tracking and instrumentation.
• Design and evaluate experiments with clear hypotheses and metrics.

Skills

SQL

Product analytics

Data visualization

Experimentation

A/B testing

KPIs

Communication

Education

Bachelor's or Master's in a quantitative field

Tools

Amplitude

Tableau/Power BI

Looker

Job description

We are looking for a Senior Product Data Analyst to help our product teams make better decisions by bringing quantitative evidence into discovery, prioritisation, experimentation and delivery. Sitting within our Product & Tech organisation, you'll work closely with Product Managers, Designers, Researchers and Engineers to ensure decisions are grounded in evidence. You’ll connect behavioural product data with qualitative research and commercial insight to help teams identify opportunities, understand customer behaviour and measure whether our products are creating the intended outcomes. This is a hands-on role combining product analytics with Business Intelligence capability. You will also help improve how we use Amplitude, our analytics platform, develop our approach to experimentation and make reliable data easier for teams to access and understand. Our team is a bunch of lovely, smart, and dedicated humans. And we offer some great benefits too!

What you’ll be responsible for

• Act as the analytics partner across our cross-functional product teams, using data and insights to shape product strategy and drive measurable outcomes.
• Helping teams turn strategic goals, customer problems and product hypotheses into clear questions, measurable outcomes and meaningful success metrics.
• Analysing customer journeys, funnels, conversion, activation, feature adoption, engagement, retention and customer segments.
• Using product and business data to identify behavioural patterns, friction points and opportunities for improvement or growth.
• Supporting prioritisation by establishing baselines, sizing opportunities and explaining the potential customer and business impact.
• Using Amplitude to explore customer behaviour, create cohorts and build clear, reusable dashboards.
• Improving how Awin uses Amplitude through consistent metric definitions, event taxonomies, dashboard templates and documentation.
• Working with Product and Engineering to define tracking requirements, address implementation gaps and ensure data is captured accurately.
• Helping teams design and evaluate product experiments by defining hypotheses, primary and guardrail metrics and suitable methods for interpreting results.
• Building simple BI reports and self-service dashboards that connect product performance with customer, commercial and operational outcomes.
• Combining quantitative analysis with UX Research and customer feedback to understand both what customers are doing and why.
• Communicating findings clearly through concise narratives, visualisations and practical recommendations.
• Helping product teams become more confident and independent in their use of data.
• Acting as a trusted analytical partner to Product leadership.
• Driving best practices for product measurement and experimentation.

About you

• You have experience in product analytics, product data, digital analytics, Business Intelligence or a related senior role.
• You have worked directly with digital product teams and understand how Product, Design, Research and Engineering collaborate.
• You can move beyond reporting what happened to explain why it matters and what a team should consider doing next.
• You are proficient in SQL and comfortable exploring large or complex datasets.
• You have experience using a BI or data-visualisation platform such as Tableau, Power BI, Looker or an equivalent tool.
• You have hands‑on experience with a product analytics platform such as Amplitude, Mixpanel, Heap or an equivalent.
• You have experience supporting product experiments and A/B tests, including defining hypotheses and success metrics and interpreting results appropriately.
• You understand product instrumentation, including event taxonomies, tracking plans and metric definitions.
• You have some experience defining product KPIs, measurement frameworks and appropriate success and guardrail metrics.
• You can translate ambiguous product or business problems into focused analytical questions.
• You communicate complex findings clearly to technical and non-technical audiences.
• You are comfortable working across different product areas and balancing deeper analysis with faster questions that help teams maintain momentum.
• Experience with Amplitude preferred but not necessary.

Our Offer

• Flexi-Week: We prioritise your mental health and wellbeing by offering you a four-day Flexi-Week (with one lighter or completely disconnected day per week) at full pay, with no reduction to your annual holiday allowance.
• Flexi-Office: We offer an international culture and flexibility through our hybrid working model, designed to foster collaboration, trust, and autonomy.
• Work Expense Contribution & Remote Working Furniture: You will receive a monthly allowance to cover part of your running costs, as well as a furniture package to support you in setting up a comfortable workspace at home.
• Private Medical Insurance: Comprehensive coverage for a range of health, vision and dental treatments.
• Meal Vouchers: Daily support for your lunch expenses.
• Screen Working Glasses: We offer a subsidy towards the cost of glasses required for screen work.
• In addition, you’ll benefit from our global offering, including health and wellbeing initiatives, learning and development via Awin Academy, and peer-to-peer recognition programmes.

Established in 2000, Awin is proud of our dynamic, social and inclusive culture.

Like all businesses, we’ve had to adapt and nurture our culture in a virtual environment. Our virtual ‘Life @ Awin’ hub brings our colleagues from across the globe together for various social activities.

Diversity & Inclusion are paramount to us, and we proudly pursue and hire diverse team members. We champion uniqueness and authenticity; this is who we are at our core. Our network of affiliate partnerships are diverse and transparent, as are the employees powering our vision to build the world’s leading open partner ecosystem. We welcome all backgrounds, identities, and experiences. If you need support at any point in the application or interview process, please let us know.