DPR Construction
Construction Management Data Analyst
DPR Construction, Baltimore, Maryland, United States, 21276
DPR Construction is seeking a Business Intelligence Analyst to support our Self Perform Work (SPW) division. The SPW division directly hires and manages craft workforces to perform scopes of work including Concrete, Drywall, Electrical, Interiors, Waterproofing, and more. As the primary data analyst for SPW, you will engage with stakeholders—field supervisors, craft foremen, project managers, executives and corporate leadership—to build relationships, identify pain points, create data strategies, and deliver actionable insights that move DPR toward data‑driven decision making.
Responsibilities Strategic Partnership / Roadmap / Execution / Delivery
Collaborate with SPW business partners and cross‑functional teams to align data analytics efforts with business objectives.
Create, maintain, and execute the SPW data analytics roadmap.
Drive conversations with stakeholders to fully understand and document pain points, focusing on outcomes and appropriate actions.
Develop and maintain relationships with business stakeholders, deepening understanding of their processes, tools, and goals.
Apply knowledge of construction management and self‑perform work to guide the development of data‑driven insights.
Be proactive in developing and implementing solutions to current pain points and building long‑term, best‑in‑class solutions.
Visualization / Storytelling
Work with stakeholders to understand and align on business requirements.
Create and maintain dashboards and apps as needed.
Deliver actionable insights that improve business processes and drive strategic conversations.
Track and monitor usage metrics to understand and measure adoption impact of analytics.
Complete ad‑hoc analysis as required.
Troubleshoot Issues / Failures
Identify root causes of data integrity issues across reports, DFLs, data warehouse, and source systems.
Troubleshoot and resolve data integrity issues in visualization tools.
Data Modeling and ETL
Create complex data models in visualization tools and perform necessary transformations.
Query the data warehouse using SQL to analyze datasets quickly.
Clean data as required.
Identify potential new datasets and integrations for the data warehouse.
Collaborate with Technical Analysts to build requirements for views in DBT and the data warehouse.
Documentation
Work with Data Engineering to develop and maintain the data catalog.
Create and maintain documentation of queries, transformations, and refresh schedules for reports.
Security / Governance
Implement and enhance data security and governance guidelines.
Create, maintain, and enforce security for DFLs.
Review requests and grant access to DFLs, reports, and apps as needed.
Create and maintain row‑level security in the visualization tool.
Work with stakeholders to define and meet security requirements for build and view access.
Change Management
Complete impact analysis for reports when changes occur to upstream source systems or tables.
Quantify and communicate impacts to stakeholders and customers.
Coordination / Collaboration / Prioritization
Identify opportunities for data collaboration and integration across disciplines.
Coordinate alignment with other T&I groups as applicable.
Identify opportunities for AI/ML/Data Science initiatives and collaborate on project delivery.
Prioritize requests and initiatives based on business impact and available resources.
Participate in integrated workgroup meetings to align support functions.
Training / Data Literacy
Train end‑users on interpreting dashboards and reports.
Teach end‑users how to build reports independently.
Provide on‑the‑job training to business stakeholders as needed.
Collaborate with Data Engineering to develop and maintain self‑service analytics tools.
Enhance data literacy across business stakeholders through targeted training and conversations.
Identify opportunities to improve data literacy throughout DPR.
Data SME
Operate as the subject‑matter expert for data availability, quality, processes, and technology.
Maintain understanding of the data pipeline architecture, articulating its benefits and limitations.
Ensure the source‑of‑truth system(s) 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 applying data to solve problems, or a bachelor’s degree plus 5 years of experience.
Experience with the construction industry, including knowledge of industry trends, terminology, and typical processes.
Experience with self‑perform teams and managing a craft workforce.
Experience with construction project controls—earned value management, productivity management, schedule management, and cost management.
Passion for data and business intelligence principles and optimizing business outcomes.
Proven track record of translating business pain points into data requirements and solving complex problems with data.
Strong analytical skills, including data mining, evaluation, analysis, and visualization.
Ability to create data models and understand dependencies between source systems.
Experience with data visualization/BI tools—Power BI required, including creation and maintenance of data flows.
Experience consuming APIs from the client side, including REST and GraphQL.
Experience with SQL scripting.
Advanced business acumen and knowledge of typical company operations to identify improved decision‑making opportunities.
Excellent organizational, leadership, interpersonal, communication (written, verbal, visual), and analytical skills.
Demonstrated success in building trusted relationships with internal/external clients and customers.
Drive to get the job done, adapting to changing environments and taking on varied responsibilities.
DPR Construction is a forward‑thinking, self‑performing general contractor specializing in technically complex and sustainable projects for advanced technology, life sciences, healthcare, higher education, and commercial markets. Founded in 1990, DPR has grown into a multi‑billion‑dollar, employee‑owned company with offices worldwide. Working at DPR offers the chance to explore unique paths, shape your future, and contribute to projects that harness talent, curiosity, and ambition.
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Responsibilities Strategic Partnership / Roadmap / Execution / Delivery
Collaborate with SPW business partners and cross‑functional teams to align data analytics efforts with business objectives.
Create, maintain, and execute the SPW data analytics roadmap.
Drive conversations with stakeholders to fully understand and document pain points, focusing on outcomes and appropriate actions.
Develop and maintain relationships with business stakeholders, deepening understanding of their processes, tools, and goals.
Apply knowledge of construction management and self‑perform work to guide the development of data‑driven insights.
Be proactive in developing and implementing solutions to current pain points and building long‑term, best‑in‑class solutions.
Visualization / Storytelling
Work with stakeholders to understand and align on business requirements.
Create and maintain dashboards and apps as needed.
Deliver actionable insights that improve business processes and drive strategic conversations.
Track and monitor usage metrics to understand and measure adoption impact of analytics.
Complete ad‑hoc analysis as required.
Troubleshoot Issues / Failures
Identify root causes of data integrity issues across reports, DFLs, data warehouse, and source systems.
Troubleshoot and resolve data integrity issues in visualization tools.
Data Modeling and ETL
Create complex data models in visualization tools and perform necessary transformations.
Query the data warehouse using SQL to analyze datasets quickly.
Clean data as required.
Identify potential new datasets and integrations for the data warehouse.
Collaborate with Technical Analysts to build requirements for views in DBT and the data warehouse.
Documentation
Work with Data Engineering to develop and maintain the data catalog.
Create and maintain documentation of queries, transformations, and refresh schedules for reports.
Security / Governance
Implement and enhance data security and governance guidelines.
Create, maintain, and enforce security for DFLs.
Review requests and grant access to DFLs, reports, and apps as needed.
Create and maintain row‑level security in the visualization tool.
Work with stakeholders to define and meet security requirements for build and view access.
Change Management
Complete impact analysis for reports when changes occur to upstream source systems or tables.
Quantify and communicate impacts to stakeholders and customers.
Coordination / Collaboration / Prioritization
Identify opportunities for data collaboration and integration across disciplines.
Coordinate alignment with other T&I groups as applicable.
Identify opportunities for AI/ML/Data Science initiatives and collaborate on project delivery.
Prioritize requests and initiatives based on business impact and available resources.
Participate in integrated workgroup meetings to align support functions.
Training / Data Literacy
Train end‑users on interpreting dashboards and reports.
Teach end‑users how to build reports independently.
Provide on‑the‑job training to business stakeholders as needed.
Collaborate with Data Engineering to develop and maintain self‑service analytics tools.
Enhance data literacy across business stakeholders through targeted training and conversations.
Identify opportunities to improve data literacy throughout DPR.
Data SME
Operate as the subject‑matter expert for data availability, quality, processes, and technology.
Maintain understanding of the data pipeline architecture, articulating its benefits and limitations.
Ensure the source‑of‑truth system(s) 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 applying data to solve problems, or a bachelor’s degree plus 5 years of experience.
Experience with the construction industry, including knowledge of industry trends, terminology, and typical processes.
Experience with self‑perform teams and managing a craft workforce.
Experience with construction project controls—earned value management, productivity management, schedule management, and cost management.
Passion for data and business intelligence principles and optimizing business outcomes.
Proven track record of translating business pain points into data requirements and solving complex problems with data.
Strong analytical skills, including data mining, evaluation, analysis, and visualization.
Ability to create data models and understand dependencies between source systems.
Experience with data visualization/BI tools—Power BI required, including creation and maintenance of data flows.
Experience consuming APIs from the client side, including REST and GraphQL.
Experience with SQL scripting.
Advanced business acumen and knowledge of typical company operations to identify improved decision‑making opportunities.
Excellent organizational, leadership, interpersonal, communication (written, verbal, visual), and analytical skills.
Demonstrated success in building trusted relationships with internal/external clients and customers.
Drive to get the job done, adapting to changing environments and taking on varied responsibilities.
DPR Construction is a forward‑thinking, self‑performing general contractor specializing in technically complex and sustainable projects for advanced technology, life sciences, healthcare, higher education, and commercial markets. Founded in 1990, DPR has grown into a multi‑billion‑dollar, employee‑owned company with offices worldwide. Working at DPR offers the chance to explore unique paths, shape your future, and contribute to projects that harness talent, curiosity, and ambition.
#J-18808-Ljbffr