Mosscm
Senior Data Analyst, Energy Preconstruction
FORT LAUDERDALE, FL · Senior · Contract
Sponsorship not specifiedDetected 30 days ago
PythonSQLData AnalysisData EngineeringData ScienceData VisualizationAccessibilityCRMForecastingExcelProcurementERPLeadershipCommunicationCollaborationProblem SolvingConstruction ManagementRenewable Energy
About the role
- Moss is a national, privately held construction firm providing innovative solutions resulting in award-winning projects.
- The company's diverse portfolio encompasses a wide range of sectors, including luxury high-rise residential, landmark mixed-use developments, hospitality, K-12 and higher education, justice, solar energy and battery storage, and sports.
- Moss is ranked by Engineering News-Record as the nation's top solar contractor and one of the top 50 general contractors.
Responsibilities
- Cleanse, normalize, validate, and consolidate historical data on estimating, engineering, cost, productivity, procurement, project parameters, and project performance from spreadsheets, takeoff files, ERP/CRM systems, and other legacy sources.
- Build, maintain, and improve structured historical datasets and databases that support estimating benchmarks, conceptual pricing, root cause analysis, and future predictive modeling.
- Build and run queries against internal databases and enterprise systems; use SQL and other tools to extract, join, filter, validate, and organize data from multiple sources.
- Develop repeatable query logic and data pipelines that improve accessibility, consistency, and auditability, while partnering with IT and data teams to align with governance standards and future data architecture.
- Identify correlations, trends, anomalies, and performance patterns across historical and active energy projects, including relationships among design variables, cost drivers, labor productivity, procurement timing, geography, weather, and project outcomes.
- Generate insights that improve profitability, reduce risk, strengthen conceptual estimates, and support value engineering and broader business decision-making.
- Benchmark current bids and conceptual estimates against historical project performance, market trends, prior wins, and known cost drivers; support the Indicative Lead and PCM in pricing and repricing exercises through structured data analysis.
- Build dashboards, reports, and KPI visibility tools using Power BI or similar platforms to track estimate accuracy, cost variance, margin trends, bid competitiveness, win rates, and project milestones.
- Support the improvement and standardization of estimating and engineering templates, define and reinforce data standards, act as a technical liaison across estimating, engineering, procurement, finance, and IT, and contribute to continuous improvement and future system integration.
- Perform other duties as assigned.
Nice to have
- Bachelor's degree in Data Analytics, Data Science, Engineering, Finance, Information Systems, or a related field is required.
- 5+ years of experience in data analytics or a related analytical role is required.
- Strong experience in cleansing, standardizing, and structuring complex datasets is required.
- Strong SQL proficiency and experience querying databases are required.
- Strong Excel proficiency is required
- advanced Excel skills, including Power Query, PivotTables, and structured data manipulation, are preferred.
- Strong experience building dashboards and reports in Power BI or a similar tool is required.
- Experience in identifying correlations, patterns, and trends in data to support business decisions is required.
This listing is sourced directly from Mosscm's careers page and normalized into a canonical job model.