Business Intelligence Analyst- OES

Job Description

DPR Construction is seeking a Business Intelligence Analyst to serve as Data Analyst working closely with OES Equipment - DPR’s internal supplier for equipment and material to construction jobsites. This person will be responsible for building relationships, identifying pain points, helping drive data strategies, and delivering actionable insights. This role is part of the Data Analytics team and plays a pivotal part in scaling DPR’s internal supply chain operations by using data to optimize utilization, increase transparency, and ensure timely delivery of equipment and materials across all job sites. This role offers opportunities to lead major analytics initiatives across DPR and potentially evolve into a senior data strategist or cross-functional analytics leader.

Responsibilities

Strategic Partnership / Roadmap / Execution / Delivery

• Participate in and collaborate with the Build Entities Integrated Workgroup and functional teams to align Data Analytics (DA) efforts with business goals and objectives.
• Drive strategic conversations with stakeholders to fully understand and document pain points and business requirements, define the key insights and metrics required to improve business processes, and develop appropriate business intelligence datasets and analytics.
• Collaborate with the Integrated Work Group (IWG) data team leads to develop a roadmap of analytics capabilities for OES that aligns with the broader strategic vision for DPR’s Supply Chain.
• Create, maintain, and execute on data analytics capabilities for stakeholder groups in alignment with overall goals and objectives.
• Success in this role will be measured by the creation of high-impact dashboards, improvements in decision-making speed, and stakeholder satisfaction with analytics solutions.
• Serve as a data change agent by promoting analytical thinking and fostering a culture of data-driven decision-making across operations and supply chain stakeholders.

Visualization / Storytelling / Data Modeling

• Be responsible for taking data analysis and insights capability to the next level by working with data infrastructure to ensure the data is accessible; working with stakeholders to understand and align on business requirements; and recommending and developing new reporting and actionable insights to improve business processes and inform strategic conversations.
• Design self-service reporting tools and scalable analytics solutions that reduce manual effort and increase speed to insight.
• Query Data Warehouse using SQL to quickly analyze datasets; clean data as required.
• Identify potential new datasets to add to the Data Warehouse and/or potential new integrations between source systems and the Data Warehouse.
• Work with Technical Data Analysts to build requirements for views in data modeling tool (dbt) and the data warehouse (Snowflake).
• Create and maintain dashboards and apps and perform ad-hoc analyses as required.
• Identify root cause of data integrity issues (report, DFL, data warehouse, source system).
• Complete impact analysis on reports when changes are made to source systems or tables upstream.
• Identify, quantify, and communicate impacts to stakeholders and customers.

• Follow, implement, and enhance data security and governance guidelines.

Collaboration / Training / SME

• Identify opportunities for data collaboration and integration between disciplines.
• Coordinate alignment, as applicable, across other Technology and innovation (T&I) groups.
• Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery.

• Train end-users on how to use and interpret information/insights on deployed dashboards/reports.
• Identify opportunities to improve data literacy throughout DPR.

• Operate as the Subject Matter Expert (SME) for the Building Entities workgroups across data availability, quality, processes, and technology for all Supply Chain and Prefabrication related functions. 
• Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users.

Qualifications

• Master’s degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus three (3) years of experience in the application of data to solve problems, or Bachelor’s degree in one of the above plus five (5) years of experience.
• Construction Experience including knowledge of industry trends, terminology, and typical processes is strongly preferred.
• Manufacturing, Supply Chain and Rental Equipment experience strongly preferred.
• Passion for the use of data