Job description

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. 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. Education: Undergraduate degree preferred Computer Science/Management Information Systems or related field desired Attachments:

Requirements

Must-haves

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.
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.
Experience developing visualization solutions in BI tools; Tableau or Qlik Sense helpful .
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.

Nice-to-haves

Advanced SQL with data warehouses (Databricks, Redshift, SparkSQL, Athena), including segmentation and aggregation from scratch; high proficiency preferred. Python a plus.
Undergraduate degree preferred Computer Science/Management Information Systems or related field desired

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlpythonai

Platform: jobdiva
Effort: medium