Senior Product Analyst

Summary

Join Docplanner as a Senior Product Analyst and leverage data to drive product decisions. You will be responsible for creating dashboards, analyzing data, and collaborating with stakeholders to generate and test hypotheses. The ideal candidate possesses 5+ years of relevant experience, fluency in SQL and data visualization tools, and strong communication skills. Docplanner offers a remote-friendly work environment, flexible hours, paid time off, private healthcare, and professional development opportunities. This role involves shaping product strategy with data-driven insights and working closely with various teams to improve the product. You will contribute to data warehouses, run A/B tests, and communicate findings effectively to stakeholders.

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
• Fluency in SQL (essential)
• Data visualization tools such as Tableau, PowerBI or similar (essential)
• Familiar with event-tracking tools such as Google Analytics, Amplitude or similar (essential)
• Great communication skills and stakeholder management. You are able to communicate your data insights in a clear and concise manner
• 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 running A/B Tests and interpreting the results

Responsibilities

• Create and maintain dashboards, analyses, and forecasts related to our team’s main metrics
• Work with higher management, business stakeholders, and researchers to create and validate hypotheses from both a qualitative and quantitative perspective
• Manipulate and transform large data sets to bring new insights and perform root-cause analysis
• Effectively communicate and present findings, insights, and recommendations to various stakeholders and a wider audience
• Help shape our product strategy with data-driven insights, defining our main metrics and customer journeys
• Work closely with Data Engineering to maintain and improve data sources used in some of our main dashboards
• Ensure the visibility of customer interactions by defining specs for software instrumentation and provide access to enable your stakeholders to take decisions based on product usage and interactions
• Analyze funnels and Conversion rates, and validate hypotheses by taking the lead on experiments and A/B Tests

Preferred Qualifications

• Git and version control, we use GitHub
• Experience with building data pipelines with Airflow and defining data models with DBT
• Having worked with scikit-learn, pytorch and other AI/ML Python frameworks
• Experience in leading experimentation and AB testing initiatives

Benefits

• A salary adequate to your experience and skills
• Share options plan after 6 months of working with us
• 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 classes