Data Science & Business Intelligence Analyst

Department:          Corporate

Reports To:            President 

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

FLSA Status:         Exempt      

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.

 

·        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 streamline reporting, research, document review, and decision support, with human review controls at each output stage.

·        Evaluate emerging AI capabilities and recommend practical business applications, including build versus buy assessment and cost per unit of output.

·        Build automated workflows that reduce manual effort and increase efficiency.

·        Ensure data accuracy, integrity, and consistency across reporting systems.

·        Support data governance initiatives, validation processes, and data quality improvements.

·        Partner with stakeholders to establish reporting standards and best practices.

·        Document data sources, transformations, model logic, and code so that all work is reproducible by someone other than the author.

SUPERVISORY RESPONSIBILITIES:

·        None initially.

EDUCATION and/or EXPERIENCE:

None required. Preferred: Microsoft Certified Power BI Data Analyst Associate (PL-300), Microsoft Certified Azure Data Scientist Associate (DP-100), or a comparable analytics or data science certification.

 

LANGUAGE SKILLS:

Ability to read and comprehend complex instructions, correspondence, contracts, and technical documentation. Ability to write clear analytical narrative, technical documentation, and executive-level correspondence. Ability to present quantitative findings effectively in one-on-one, small group, and executive settings, to both technical and non-technical audiences.

REASONING ABILITY:

Ability to solve practical problems and deal with a variety of concrete and abstract variables in situations where only limited standardization exists. 

 

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, use hands to finger, handle, or feel, and talk or hear. The employee is occasionally required to stand, walk, and reach with hands and arms. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus during extended periods of computer work.

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The employee typically works in a climate-controlled office environment, and the noise level is usually moderate.