At Docker, the business problem is to extract value from product and business data to drive business strategy and feature development, and to provide actionable insights to stakeholders.
Requirements
- Expert proficiency in SQL for complex data extraction and manipulation.
- Strong proficiency in a statistical programming language (Python or R), including libraries for data manipulation, analysis, and statistical modeling.
- Proven experience designing, launching, and analyzing A/B tests or other product experiments.
- Experience with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery) and data visualization tools (e.g., Sigma, Tableau, Looker).
- Advanced knowledge of statistical methods (regression, hypothesis testing, time series analysis) and their application to business problems.
- Knowledge of container technologies (Docker, Kubernetes) is preferred.
- Experience analyzing data related to developer tools or B2B SaaS products is preferred.
Responsibilities
- Understand detailed usage of Docker products by analyzing user behavior data, translating complex questions into analytical plans, and building robust product metrics.
- Run and measure product experiments (A/B tests) from design through interpretation, clearly articulating results and recommendations to stakeholders.
- Develop and maintain key performance indicators (KPIs) and operational metrics for product features and overall business health.
- Provide actionable insights for Product Managers on user engagement, feature adoption, and growth opportunities to directly inform the product roadmap.
- Build deep dive reports for Executive Leaders on critical business trends and the performance of strategic initiatives, presenting findings in a clear, compelling narrative.
- Apply statistical modeling and machine learning techniques to solve business problems (e.g., churn prediction, segmentation, propensity modeling).
- Design and implement data visualizations and self-service dashboards to democratize data access across the organization.
Other
- Excellent verbal and written communication skills, with the ability to present complex analytical findings to both technical and executive audiences.
- Demonstrated ability to work independently and drive projects from conception to completion with minimal supervision.
- Ability to mentor junior analysts on best practices for data visualization, statistical analysis, and clear communication of results.
- 3+ years of experience in a Data Scientist or Product Analyst role, preferably within a technology or SaaS company.
- Due to the remote nature of this role, we are unable to provide visa sponsorship.
