Commerce is seeking to empower businesses to innovate, grow, and thrive with its open, AI-driven commerce ecosystem. The company aims to help businesses unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market. This role is critical in developing efficient and scalable solutions to solve complex commerce challenges.
Requirements
- Strong proficiency in SQL and data visualization tools (Tableau, Power BI, or similar)
- Experience working with large datasets and joining/transforming data from multiple sources
- Comfortable using Python or R for data manipulation, basic statistical analysis, or lightweight modeling (forecasting, regression, clustering)
- Exposure to forecasting, regression, or churn modeling techniques
- Basic understanding of A/B testing and experimentation concepts
- Experience collaborating with data engineering or data science teams to build scalable analytics solutions
Responsibilities
- Develop and maintain interactive Tableau dashboards and reports that visualize key metrics and drive operational visibility
- Analyze large datasets using SQL and Python to uncover clear actionable insights that inform product, marketing, and operations teams
- Contribute to forecasting and predictive analysis (e.g. customer churn, usage trends, and revenue projections) in partnership with senior analysts
- Effectively communicate insights and model results to both technical and non-technical stakeholders, simplifying complex analyses into actionable takeaways
- Collaborate with Data Solutions and other technical teams to enhance data infrastructure and ensure model reproducibility and scalability
- Consistently enhance and document analytical workflows, fostering a culture of process improvement and knowledge sharing
Other
- 2–4 years of experience in data analysis, applied statistics, or data science
- A Bachelor’s degree in a quantitative field (Statistics, Data Science, Computer Science, Math, Finance, Economics, or similar) or equivalent work experience
- A strong communicator, able to translate quantitative insights into clear, compelling narratives
- Detail-oriented and committed to accuracy and quality in all aspects of data work
- Enthusiastic about learning new tools and techniques, and adapting to evolving business needs
- Self-motivated, proactive, and comfortable working in a collaborative team environment
- A problem-solver who can tackle ambiguity and work independently to deliver results
- Experience with eCommerce or SaaS metrics is a plus
