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Construction Management Data Analyst

Job in Austin, Travis County, Texas, 78716, USA
Listing for: DPR Construction
Full Time position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Job Description & How to Apply Below

Join to apply for the Construction Management Data Analyst role at DPR Construction

Job Description
DPR Construction is seeking a Business Intelligence Analyst to support our Self Perform Work (SPW) division. The SPW division manages craft work forces for scopes such as Concrete, Drywall, Electrical, Interiors, and Waterproofing. The analyst will partner with field supervisors, foremen, project managers, and corporate leadership to build data strategies, deliver actionable insights, and drive data‑driven decisions across integrated business processes.

Strategic Partnership / Roadmap / Execution / Delivery
  • Collaborate with SPW business partners and other business units to align data analytics efforts with objectives.
  • Create, maintain, and execute the data analytics roadmap for SPW.
  • Lead conversations with stakeholders to understand pain points and document requirements.
  • Develop relationships and gain deep understanding of processes, tools, and goals.
  • Provide guidance on data‑driven insights leveraging construction management knowledge.
  • Proactively develop long‑term solutions to current pain points.
Visualization / Storytelling
  • Align on business requirements with.
  • Create and maintain dashboards and apps as needed.
  • Deliver actionable insights to improve processes and drive strategy.
  • Track usage metrics to gauge adoption and impact.
  • Perform ad‑hoc analysis as required.
Troubleshoot Issues / Failures
  • Identify root data integrity issues across source systems, data warehouse, and reports.
  • Troubleshoot and resolve issues in the visualization tool.
Data Modeling and ETL
  • Create complex data models in visualization tools; perform transformations.
  • Query the data warehouse using SQL for rapid analysis.
  • Clean data and add new datasets to the warehouse.
  • Identify potential integrations between source systems and the data warehouse.
  • Collaborate with technical analysts to build DBT and warehouse view requirements.
Documentation
  • Work with Data Engineering to develop and maintain the data catalog.
  • Document queries, transformations, and report refreshes.
Security / Governance
  • Implement and enhance data security and governance guidelines.
  • Create and maintain security for DFLs.
  • Grant access to DFLs, reports, and apps as needed.
  • Create and maintain RLS in the visualization tool.
  • Set security requirements with business stakeholders for build and view access.
Change Management
  • Perform impact analysis on reports when source system or table changes occur.
  • Quantify and communicate impacts to stakeholders.
Coordination / Collaboration / Prioritization
  • Identify opportunities for data collaboration and integration across disciplines.
  • Coordinate alignment with other T&I groups.
  • Identify AI/ML/Data Science opportunities and collaborate on delivery.
  • Prioritize requests based on business impact and resource availability.
  • Participate in Integrated Workgroup meetings to align support functions.
Training / Data Literacy
  • Train end‑users on interpreting dashboards and reports.
  • Train users on building reports themselves.
  • Provide on‑job training to business stakeholders.
  • Work with Data Engineering to develop self‑service analytics tools.
  • Increase data literacy through targeted trainings and conversations.
  • Identify opportunities to improve data literacy throughout DPR.
Data SME
  • Serve as the subject matter expert on data availability, quality, processes, and technology.
  • Maintain understanding of the data pipeline architecture and articulate benefits and limitations.
  • Ensure source of truth systems are identified and operational.
Qualifications
  • Master’s degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management, or related field plus 3 years of experience, or Bachelor’s degree plus 5 years of experience.
  • Experience with the construction industry is strongly preferred.
  • Experience with self‑perform teams is strongly preferred.
  • Experience with construction project controls (Earned Value Management, productivity, schedule, cost) is strongly preferred.
  • Passion for data and business intelligence principles to optimize outcomes.
  • Proven track record translating business pain points into data requirements and solving complex problems.
  • Analytic skills including data…
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