Sales Data Scientist

• 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, Business Analytics Manager Data Analytics Manager — Tools and Sklls SQL Advanced SQL Complex SQL Data Warehousing Data Warehouse Databricks Delta Lake Amazon Redshift Redshift Athena Amazon Athena SparkSQL Apache Spark Hive Snowflake BigQuery Azure Synapse Teradata Oracle SQL PostgreSQL ETL ELT Data Pipeline Data Engineering Data Integration Data Processing Tableau Tableau Developer Qlik Sense QlikView Power BI Looker Business Intelligence BI Reporting Dashboard Development Reporting Solutions Executive Dashboards Visualization Development Data Visualization Reporting Automation KPI Dashboard Scorecards Sales Analytics Revenue Analytics Commercial Analytics Business Analytics Product Analytics Growth Analytics Customer Analytics Operational Analytics Strategic Analytics

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., Bachelor’s Degree in:

• Computer Science
• Data Science
• Management Information Systems
• Statistics
• Mathematics
• Analytics, Data Science Predictive Analytics Diagnostic Analytics Descriptive Analytics Performance Analytics Performance Attribution Segmentation Customer Segmentation Cohort Analysis Trend Analysis Forecasting Statistical Analysis A/B Testing AB Testing Controlled Experiments Experiment Design Test and Control Test Control Methodology Hypothesis Testing Statistical Significance Experimentation Framework Multivariate Testing Performance Measurement Impact Analysis AI Analytics AI Enabled Analytics Generative AI Claude AI Cursor AI Copilot Analytics Automation AI Reporting Prompt Engineering LLM Analytics Artificial Intelligence Machine Learning Predictive Modeling Automation

– Soft Skills Data Storytelling Executive Communication Stakeholder Management Cross Functional Collaboration Business Insights Decision Support Problem Solving Critical Thinking Strategic Planning Sales Strategy Revenue Growth Executive Reporting Presentation Skills