Data Science & Business Intelligence Analyst

In this role you will act as BlueTeam's primary quantitative specialist, turning data from multiple systems into actionable leadership decisions. You'll cover data acquisition, modeling, reporting, and the applied use of AI to extract insights from document-heavy workflows. Your work will ensure analytics are defensible, reproducible, and explainable to non-technical stakeholders. You'll start with sales analytics and later broaden to enterprise analytics as the reporting foundation matures. This is a hands-on, cross-functional role that shapes forecasting, performance insights, and automation to support critical restoration projects.

• Collect, clean, validate, and transform data from multiple source systems (project management, accounting, CRM, field data)
• Develop dashboards, reports, and visualizations with actionable insights
• Analyze historical trends, performance, productivity metrics, and business outcomes (e.g., margins, backlog, win rates)
• Create recurring and ad hoc leadership reports
• Identify patterns, risks, and opportunities through quantitative analysis
• Build and maintain data pipelines and API-based extractions
• Reconcile reporting with general ledger and source systems
• Build forecasting models for revenue, backlog, labor, and cash flow
• Design experiments, quantify significance, and measure impact against forecasts
• Apply AI tools to production analytical workflows with human review controls
• Develop automated workflows to reduce manual effort and improve efficiency
• Document data sources, transformations, and model logic for reproducibility
• Partner with leaders to translate analyses into actionable recommendations
• Challenge unsupported conclusions and flag data gaps

• 5 years of progressive experience in data analytics, data science, or BI with hands-on reporting and predictive modeling
• Strong analytical and problem-solving skills with large datasets
• SQL proficiency for complex queries on production databases
• Python or R for data manipulation and modeling
• Experience building, validating, and deploying forecasting or predictive models
• Advanced Excel with dynamic models and AI-assisted development
• CRM platform proficiency with data integrity and cross-system insights
• Power BI proficiency for dashboards, data modeling, and DAX
• Working knowledge of current AI tooling in analytical work and validation of AI outputs
• Excellent communication skills to translate data into insights

• excellent communication
• cross-functional collaboration
• problem-solving
• SQL
• Python or R
• Excel advanced