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In this role as a Senior Product Analyst at Docplanner, your main focus will be on generating insights used for product decision-making and helping product teams achieve their goals by leveraging data. You will take ownership of the team's metrics and work closely with various stakeholders to generate and test hypotheses. You will be part of a team consisting of amazing, passionate product analysts and also work together with researchers, product management, developers and design to identify opportunities for collaboration and product improvement. The ideal candidate has already worked in a similar role and is comfortable participating in complex product organizations in the SaaS market.
Job Responsibility:
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
Requirements:
5+ years of relevant experience in analytics, working with business KPIs and metrics
2+ years working closely with product managers and user research teams
Fluency in SQL
Experience with data visualization tools such as Tableau, PowerBI or similar
Familiar with event-tracking tools such as Google Analytics, Amplitude or similar
Familiar with Python and its ecosystem of Data Science libraries
Experience working with data warehouses (Redshift, Bigquery etc.)
Great communication skills and stakeholder management
Fluent in manipulating, transforming, and reshaping data, preferably from multiple data sources
Experience doing root-cause analysis, applying statistical concepts like regressions, and proving correlations and causation
Experience contributing to data warehouses, creating aggregated data sets, general understanding of data pipelines and flows
Experience running A/B Tests and interpreting the results
Nice to have:
Git and version control
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
What we offer:
Share options plan after 6 months of working with us
Remote or hybrid work model with hub in Warsaw
Flexible working hours
20/26 days of paid time off
Additional paid day off on your birthday or work anniversary
Private healthcare plan with Signal Iduna for you and subsidized for your family
Multisport card co-financing
Access to iFeel, a technological platform for mental wellness offering online psychological support and counseling
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