Description

Job Description

Sales Data Scientist / Senior Data Analyst / Business Intelligence Analyst We are seeking a highly analytical and self-driven Sales Data Scientist to support a high-impact Money Sales organization. The ideal candidate will own projects end-to-end, leverage large-scale data to generate actionable business insights, and enable data-driven sales decisions. This role requires strong expertise in SQL, Data Analytics, Business Intelligence, Data Visualization, A/B Testing, ETL, and Data Warehousing . Candidates with experience supporting Sales, Revenue, Commercial, or Growth Analytics teams are highly preferred.

Responsibilities:

• Build, maintain, and optimize dashboards, reports, and visualizations for business stakeholders.
• Develop and enhance BI solutions using Tableau, Qlik Sense, or similar tools.
• Gather, clean, consolidate, and productionalize large datasets from multiple data sources.
• Design and implement ETL processes and data pipelines.
• Perform advanced SQL analysis against modern cloud data warehouses.
• Conduct A/B testing, experimentation, performance attribution, and segmentation analysis.
• Deliver executive-ready presentations and data-driven recommendations.
• Partner with Sales, Operations, Product, Revenue Operations, and Data teams.
• Leverage AI-powered analytics and reporting tools to improve efficiency and scale insights.

Required Skills:

• Advanced SQL
• Data Analytics
• Sales Analytics
• Business Intelligence
• Data Visualization
• Dashboard Development
• Tableau or Qlik Sense
• Databricks
• Amazon Redshift
• Amazon Athena
• SparkSQL
• ETL Development
• Data Warehousing
• Data Modeling
• A/B Testing
• Experiment Design
• Statistical Analysis
• Segmentation Analysis
• Executive Reporting
• Data Storytelling
• Performance Attribution
• KPI Development

Preferred Skills:

• Python
• AI-enabled Analytics
• Claude AI
• Cursor AI
• Predictive Analytics
• Machine Learning
• Revenue Analytics
• Commercial Analytics
• Growth Analytics
• Sales Operations Analytics
• Analytics Engineering

Education Bachelor's Degree in: Computer Science Data Science Management Information Systems Statistics Mathematics Analytics Information Technology Related Technical Discipline

Key Skills

Education

Any Graduate