Responsibilities
- Help product areas to strategically build the product: bring ideas for new growth opportunities based on your expertise, estimate the potential impact of such ideas and guide our strategy through metric frameworks and insights.
- Work with higher management, business stakeholders and researchers to create and validate hypotheses from both a qualitative and quantitative perspective.
- Create and maintain dashboards, analysis and forecasts related to our team’s main metrics.
- Manipulate and transform large data-sets to bring new insights and perform root-cause analysis.
- Collaborate with the Product team to test new features and validate hypotheses through experimentation and AB Testing.
- Perform segmentation analysis to understand who our customers are and what are their main drivers to engage with our products.
- Work closely with Data Engineering to maintain and improve data-sources used in some of our main dashboards.
Requirements
- 5+ years of relevant experience in analytics, working with business KPIs and metrics, of which 2+ working closely with product managers and user research teams.
- Proficiency in SQL and experienced with DBT.
- Data visualization tools such as Tableau, PowerBI or similar.
- Event-tracking tools such as Google Analytics, Amplitude or similar.
- Great communication skills and stakeholder management. You translate complex analyses into clear insights that executives and stakeholders actually act on.
- Fluent in manipulating, transforming, and reshaping data, preferably from multiple data sources.
- Doing root-cause analysis, applying statistical concepts like regressions, and proving correlations and causation.
- Contributing to data warehouses, creating aggregated data sets, general understanding of data pipelines and flows.
- Experience designing, implementing and measuring A/B Tests and interpreting the results.
- Experience enabling others by training stakeholders on tools and helping teams become more data-literate and autonomous.
Nice to Have
- Python and its ecosystem of Data Science libraries
Benefits
- A salary adequate to your experience and skills.
- True flexibility and work-life balance
- Remote or hybrid work model with or hub in Warsaw;
- Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly);
- 20/26 days of paid time off (depending on your contract);
- Additional paid day off on your birthday or work anniversary (you choose what you want to celebrate).
- Private healthcare plan with Signal Iduna for you and subsidized for your family.
- Multisport card co-financing for you to have access to sports facilities across Poland.
- Access to iFeel, a technological platform for mental wellness offering online psychological support and counseling.
- Free English and Spanish classes.
Team
Team size: over 400 people. Structure: Engineering, Data, and Product teams
Additional Information
- We promote and embrace equal opportunities in our hiring process, and also every day at work. When you apply for our roles you receive equal treatment regardless of age, disabilities, gender reassignment, marital or civil partner status, pregnancy or parental status, race, colour, nationality, ethnic or national origin, religion or belief, sex, sexual orientation or any other dimension of human difference. If you require additional support in your recruitment process, we kindly encourage you to let us know. Behind those words you’re reading, there’s a person (hi!) who already helped a candidate by adapting the interviews, and now we’re lucky to have this person with us. So, even if you’ve never asked for it before, may this serve as a sign that, now, you can do so. We can only truly be equal if we adapt to each other. “We believe all humans, in all their beautiful diversity, should have equal rights, dignity and respect. Period.” Mariusz Gralewski, CEO
