Senior Data Analyst with Product Analytics, Learning Platform

Technologies we use

Expected

• Tableau
• Google Cloud Platform
• Databricks

Optional

• Python
• SQL
• Figma
• Git
• Apache Airflow
• AWS
• Snowflake Data Cloud
• Databricks
• Terraform

About the project

You will work on a learning platform that helps educators access high quality teaching and learning materials. The project is centered on product analytics, experimentation, and data driven insights that improve product performance and business outcomes.

This is how we organize our work

Team size

10-20

This is how we work

• you focus on a single project at a time
• you can change the project
• you have influence on the technological solutions applied
• you develop the code "from scratch"
• you focus on product development
• you focus on code maintenance
• agile

Team members

• backend developer
• data scientist

Your responsibilities

• Design complex experiments and A B tests to validate hypotheses and measure business impact
• Define success metrics and apply statistical methods to ensure reliable results
• Analyze user behavior, conversion funnels, engagement, and retention
• Translate analytical findings into actionable recommendations for product improvement
• Identify opportunities to improve product performance
• Own analytical tasks end to end in collaboration with team leads and product stakeholders
• Present findings and recommendations to support data driven decision making

Our requirements

• 5+ years of experience in Data Analytics including strong hands on experience in Product Analytics
• Strong experience in product analytics and complex experimentation including A B testing
• Advanced SQL skills and solid knowledge of statistical analysis
• Hands on experience with Tableau and BigQuery
• Experience analyzing user behavior, conversion funnels, and product performance metrics
• Ability to translate complex data into clear business insights
• Ability to work independently
• Good communication and stakeholder management skills

Optional

• Experience in eCommerce, subscription based businesses, or digital product analytics
• Experience with Databricks

What we offer

• Vacation days: Up to 26 business days per year
• 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types
• Health and life insurance (Luxmed)
• MyBenefit platform with Multisport option
• Internal psychological support service
• English language classes from the first working day
• Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training
• Flexible workplace: work from the office, from home, or choose a hybrid option
• Tech Skills Mentoring Program
• Opportunities to develop as a public speaker, mentor, or technical interviewer
• Certification reimbursement (AWS, GCP, Microsoft, etc.)

This is how we work on a project

• code review
• Continuous Integration
• documentation
• integration tests
• test automation
• unit tests

Development opportunities we offer

• substantive support from technological leaders
• technical knowledge exchange within the company
• time for development of your ideas

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• flexible working time
• corporate products and services at discounted prices
• integration events
• coffee / tea
• drinks
• employee referral program
• extra leave

DataArt Poland sp. z o.o.

Our client is a leading global wealth and asset management organization focused on delivering innovative investment solutions and providing access to a broad international ecosystem of opportunities.