OES Equipment LLC
Business Intelligence Analyst- OES
OES Equipment LLC, Raleigh, North Carolina, United States, 27601
Overview
DPR Construction is seeking a Business Intelligence Analyst to serve as Data Analyst working closely with OES Equipment, DPRs internal supplier for equipment and material to construction job sites. This role is part of the Data Analytics team and will build relationships, identify pain points, drive data strategies, and deliver actionable insights. The analyst will help scale DPRs internal supply chain operations by using data to optimize utilization, increase transparency, and ensure timely delivery of equipment and materials across job sites. The position offers opportunities to lead major analytics initiatives 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 efforts with business goals and objectives. Drive strategic conversations with stakeholders to understand and document pain points and business requirements, define the key insights and metrics required to improve business processes, and develop appropriate BI datasets and analytics. Collaborate with Integrated Work Group (IWG) data team leads to develop a roadmap of analytics capabilities for OES that aligns with the broader strategic vision for DPRs Supply Chain. Create, maintain, and execute on data analytics capabilities for stakeholder groups in alignment with overall goals and objectives. Success will be measured by high-impact dashboards, improved 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
Advance data analysis and insights capability by ensuring data accessibility, aligning on business requirements, and developing 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 speed up insights. Query the Data Warehouse using SQL to analyze datasets and clean data as required. Identify potential new datasets and integrations between source systems and the Data Warehouse. Work with Technical Data Analysts to build requirements for data models (dbt) and the data warehouse (Snowflake). Create and maintain dashboards and apps and perform ad-hoc analyses as required. Identify root causes of data integrity issues and perform impact analysis on reports when upstream source changes occur. Identify, quantify, and communicate impacts to stakeholders and customers; follow and enhance data security and governance guidelines.
Collaboration / Training / Subject Matter Expertise
Identify opportunities for data collaboration and integration between disciplines and across Technology and Innovation groups. Identify opportunities for AI/ML/Data Science efforts and collaborate with those teams on project delivery. Train end-users on how to interpret information/insights from deployed dashboards and reports. Improve data literacy throughout DPR. Act as the Subject Matter Expert (SME) for Building Entities workgroups across data availability, quality, processes, and technology for Supply Chain and Prefabrication functions. Maintain understanding of the data pipeline architecture to articulate its benefits and limitations for end users.
Qualifications
Masters degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related field, plus three (3) years of experience in applying data to solve problems; or Bachelors degree in one of the above with five (5) years of experience. Construction experience strongly preferred (industry terms and processes). Manufacturing, Supply Chain and Rental Equipment experience strongly preferred. Passion for data and BI principles and their ability to optimize business outcomes. Proven ability to translate business pain points into data requirements and solve complex problems with data. Strong analytic skills, including data mining, evaluation, analysis, and visualization. Ability to create data models and understand dependencies between source systems. Experience with Power BI (including dataflows) and SQL scripting. Experience with consuming APIs (REST and GraphQL a plus). Experience with Python for data analysis, Git for version control, and cloud platforms such as Azure or AWS a plus. Excellent business acumen and understanding of typical company operations and decision processes. Strong organizational, leadership, interpersonal, communication (written, verbal, and visual), and analytical skills. Proven ability to build trusted relationships with internal/external clients and customers. A drive to get the job done, with adaptability to changing environments.
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DPR Construction is seeking a Business Intelligence Analyst to serve as Data Analyst working closely with OES Equipment, DPRs internal supplier for equipment and material to construction job sites. This role is part of the Data Analytics team and will build relationships, identify pain points, drive data strategies, and deliver actionable insights. The analyst will help scale DPRs internal supply chain operations by using data to optimize utilization, increase transparency, and ensure timely delivery of equipment and materials across job sites. The position offers opportunities to lead major analytics initiatives 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 efforts with business goals and objectives. Drive strategic conversations with stakeholders to understand and document pain points and business requirements, define the key insights and metrics required to improve business processes, and develop appropriate BI datasets and analytics. Collaborate with Integrated Work Group (IWG) data team leads to develop a roadmap of analytics capabilities for OES that aligns with the broader strategic vision for DPRs Supply Chain. Create, maintain, and execute on data analytics capabilities for stakeholder groups in alignment with overall goals and objectives. Success will be measured by high-impact dashboards, improved 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
Advance data analysis and insights capability by ensuring data accessibility, aligning on business requirements, and developing 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 speed up insights. Query the Data Warehouse using SQL to analyze datasets and clean data as required. Identify potential new datasets and integrations between source systems and the Data Warehouse. Work with Technical Data Analysts to build requirements for data models (dbt) and the data warehouse (Snowflake). Create and maintain dashboards and apps and perform ad-hoc analyses as required. Identify root causes of data integrity issues and perform impact analysis on reports when upstream source changes occur. Identify, quantify, and communicate impacts to stakeholders and customers; follow and enhance data security and governance guidelines.
Collaboration / Training / Subject Matter Expertise
Identify opportunities for data collaboration and integration between disciplines and across Technology and Innovation groups. Identify opportunities for AI/ML/Data Science efforts and collaborate with those teams on project delivery. Train end-users on how to interpret information/insights from deployed dashboards and reports. Improve data literacy throughout DPR. Act as the Subject Matter Expert (SME) for Building Entities workgroups across data availability, quality, processes, and technology for Supply Chain and Prefabrication functions. Maintain understanding of the data pipeline architecture to articulate its benefits and limitations for end users.
Qualifications
Masters degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related field, plus three (3) years of experience in applying data to solve problems; or Bachelors degree in one of the above with five (5) years of experience. Construction experience strongly preferred (industry terms and processes). Manufacturing, Supply Chain and Rental Equipment experience strongly preferred. Passion for data and BI principles and their ability to optimize business outcomes. Proven ability to translate business pain points into data requirements and solve complex problems with data. Strong analytic skills, including data mining, evaluation, analysis, and visualization. Ability to create data models and understand dependencies between source systems. Experience with Power BI (including dataflows) and SQL scripting. Experience with consuming APIs (REST and GraphQL a plus). Experience with Python for data analysis, Git for version control, and cloud platforms such as Azure or AWS a plus. Excellent business acumen and understanding of typical company operations and decision processes. Strong organizational, leadership, interpersonal, communication (written, verbal, and visual), and analytical skills. Proven ability to build trusted relationships with internal/external clients and customers. A drive to get the job done, with adaptability to changing environments.
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