Data Science & Business Intelligence Analyst

Position:Data Science & Business Intelligence Analyst

Location: Boca Raton, FL

Job :355

# of Openings:1

Job Title: Data Science & Business Intelligence Analyst

Department
:
Corporate

Reports To: President

Location: Boca Raton, FL (in-office position; not remote or hybrid)

FLSA Status
:
Exempt

Blue Team is a US-based provider of national disaster recovery, remediation, reconstruction, renovation, and roofing services for commercial properties. Our core business focuses on cleanup and mitigation efforts for recovery from fire damage, roof leaks, flooding, pipe bursts, and post-disaster remediation due to severe weather. We exclusively serve commercial sectors including hospitality, senior housing, healthcare, commercial offices, municipalities, multifamily living, and institutional markets.

The Data Science & Business Intelligence Analyst serves as the company's primary quantitative resource, transforming data from project, financial, and customer systems into decisions leadership can act on. The role spans the full analytical range: data acquisition and modeling, recurring and ad hoc reporting, statistical and predictive modeling, and the applied use of artificial intelligence to extract structured information from the document-heavy workflows that drive this business.

The analyst will work with structured and unstructured data, build and maintain the reporting layer, develop forecasting and predictive models, validate those models against actual results, and automate manual processes. The standard for this role is defensibility: every number produced must reconcile to its source system, and every model must be documented, tested against data it was not trained on, and explainable to a non-technical audience.

Selecting the simplest method that answers the question is preferred over sophistication for its own sake.

This position supports the executive team crossing all departments of the Company. Initial priorities will center on sales reporting, expanding to enterprise analytics as the reporting foundation matures.

• Collect, clean, validate, and transform data from multiple source systems, including project management, accounting, CRM, and field data collection platforms.
• Develop dashboards, reports, and visualizations that provide actionable insights.
• Analyze historical trends, operational performance, productivity metrics, and business outcomes, including job‑level margin, estimate versus actual variance, backlog and pipeline conversion, win rates by client and business unit, and receivable aging and collection cycle time.
• Create recurring and ad hoc reporting for leadership teams.
• Identify patterns, risks, and opportunities through quantitative analysis.
• Build and maintain the queries, extracts, and pipelines that feed the reporting layer, including API‑based extraction from source systems.
• Reconcile reporting to the general ledger and to source systems so that analytical output and financial reporting do not diverge.

• Build forecasting models for revenue, backlog conversion, labor and equipment demand, and cash flow, accounting for the seasonality and catastrophe‑driven volatility inherent to storm restoration work.
• Design and interpret experiments, quantify statistical significance, and measure realized business impact against forecast.
• Present quantitative findings with stated confidence, known limitations, and the reasoning behind method selection.
• Apply large language model tooling to production analytical workflows, including structured data extraction from unstructured documents, classification, and summarization, rather than ad hoc manual prompting alone.
• Develop AI‑assisted processes to…