| Duties: |
Overview
We are seeking a self-starter who can own projects end-to-end in the Sales Data Science team supporting Money Sales. This person is a self-starter, is able to work effectively independently, and translates complex data into clear, actionable business insights that drive sales decisions.
Core Competencies
- Analytical and critical thinking: Frame ambiguous business questions and structure them into rigorous, answerable analyses.
- Data storytelling and executive communication: Distill findings into compelling narratives tailored to senior stakeholders.
- Problem solving and decision support: Translate analysis into recommendations that inform sales strategy and execution.
- Attention to detail: Ensure accuracy and integrity across data, reporting, and deliverables.
- Cross-functional collaboration: Partner effectively with sales, ops, and data stakeholders.
- Simplification: Reduce complex data into insights the business can act on.
Responsibilities
- Build, maintain, and communicate detailed reporting, visualizations, and dashboards to deliver business insights. Manage a repository of reusable data visualization templates and views.
- Proactively Client and improve data sources, and build pipelines or perform ETL when needed.
- Gather, clean, consolidate, and productionalize large datasets from our databases to support dashboards and the team's analytics needs.
- Design and analyze A/B tests using test-and-control methodologies, and perform performance attribution to measure impact.
- Perform ad hoc analyses as necessary.
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| Skills: |
- Experience developing visualization solutions in BI tools; Tableau or Qlik Sense helpful.
- Advanced SQL with data warehouses (Databricks, Redshift, SparkSQL, Athena), including segmentation and aggregation from scratch; high proficiency preferred. Python a plus.
- Experience using AI-enabled analytics and reporting tools. (Claude/Cursor)
- Demonstrated ability to manage responsibilities under strict deadlines, and to scale and build AI-enabled solutions.
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| Education: |
Undergraduate degree preferred Computer Science/Management Information Systems or related field desired
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