DPR Construction
Enterprise Business Data - Business Intelligence Analyst
DPR Construction, Atlanta, Georgia, United States, 30383
Overview
Enterprise Data - Business Intelligence Analyst at DPR Construction. DPR Construction is seeking a strategic and detail-oriented Data Analyst to lead the development and management of company-wide dashboards, focusing on dashboards that support Enterprise Goals & Objectives and other strategic initiatives. Responsibilities
Strategic Partnership / Roadmap / Execution / Delivery
Develop and maintain relationships with business stakeholders across all functional groups of DPR. Develop a deep understanding of their processes, tools, and goals, and be able to speak to how our developed KPIs speak to those goals. Create, maintain and communicate detailed schedules for this wide-ranging KPI development. Coordinate technical teams performing development of KPIs and communicate progress to business teams. Create, maintain and execute quality control and practices to ensure that we deliver accurate information to end-users.
Visualization / Storytelling
Work with stakeholders to understand and align on business requirements. Create and maintain dashboards and Apps, as required. Deliver actionable insights to 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 source of data integrity issues (report, DFL, data warehouse, source system). Troubleshoot and resolve data integrity issues in visualization tools.
Data Modeling And ETL
Create complex data models in visualization tools, and make transformations as needed. Query Data Warehouse using SQL to quickly analyze datasets. Clean data, as required. Identify potential new datasets to add to the Data Warehouse. Identify potential new integrations between source systems and the Data Warehouse. Work with Technical Analysts to build requirements for views in DBT and the data warehouse.
Documentation
Work with Data Engineering in the development and maintenance of the data catalog. Create and maintain documentation of queries, transformations, and refreshes for reports.
Security / Governance
Follow, implement, and enhance data security and governance guidelines. Create, maintain, and implement security for DFLs. Review requests and grant access to DFLs, Reports, and Apps, as needed. Create and maintain RLS in visualization tool, where needed. Work with business stakeholders to understand and set security requirements, regarding build access and view access.
Change Management
Complete impact analysis on reports when changes are made to source systems or tables upstream. Identify, quantify, and communicate impacts to stakeholders and customers.
Coordination / Collaboration / Prioritization
Identify opportunities for data collaboration and integration between disciplines. Coordinate alignment, as applicable, across other T&I groups. Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery. Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing. Participate in Focus Group meetings to align support functions.
Training / Data Literacy
Train end-users on how to use and interpret information/insights on deployed dashboards/reports. Train end-users on how to build reports themselves. Provide on-the-job training to business stakeholders when needed. Work with Data Engineering and others to develop and maintain tools for Self Service Analytics. Increase data literacy of business stakeholders through targeted trainings and conversations. Identify opportunities to improve data literacy throughout DPR.
Data SME
Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology. Maintain understanding of our data pipeline architecture to articulate its benefits/limitations for end users. Ensure source of truth system(s) are identified and operational.
Qualifications
Master’s degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus five (5) years of experience in the application of data to solve problems, or Bachelor’s degree in one of the above plus seven (7) years of experience. Proven track record of managing large-scale analytics projects spanning multiple functional groups. Experience guiding business partners through the process of KPI development. Construction Experience including knowledge of industry trends, terminology, and typical processes is strongly preferred. Passion for the use of data and business intelligence principles and their ability to optimize business outcomes. Proven track record of translating business pain points into data requirements and solving complex problems with data. Analytic skills, including data mining, evaluation, analysis, and visualization. Ability to create semantic data models and understand dependencies between source systems. Experience in data visualization/BI tools – Power BI required, including creating and maintaining dataflows. Experience with consuming APIs from the client side including REST and GraphQL. Experience with SQL scripting required. Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making. Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills. Demonstrated success in building trusted relationships with internal/external clients and customers. A drive to do what it takes to get the job done and adapt to changing environments. Note: DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. This description reflects our focus and values as a private, employee-owned company.
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Enterprise Data - Business Intelligence Analyst at DPR Construction. DPR Construction is seeking a strategic and detail-oriented Data Analyst to lead the development and management of company-wide dashboards, focusing on dashboards that support Enterprise Goals & Objectives and other strategic initiatives. Responsibilities
Strategic Partnership / Roadmap / Execution / Delivery
Develop and maintain relationships with business stakeholders across all functional groups of DPR. Develop a deep understanding of their processes, tools, and goals, and be able to speak to how our developed KPIs speak to those goals. Create, maintain and communicate detailed schedules for this wide-ranging KPI development. Coordinate technical teams performing development of KPIs and communicate progress to business teams. Create, maintain and execute quality control and practices to ensure that we deliver accurate information to end-users.
Visualization / Storytelling
Work with stakeholders to understand and align on business requirements. Create and maintain dashboards and Apps, as required. Deliver actionable insights to 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 source of data integrity issues (report, DFL, data warehouse, source system). Troubleshoot and resolve data integrity issues in visualization tools.
Data Modeling And ETL
Create complex data models in visualization tools, and make transformations as needed. Query Data Warehouse using SQL to quickly analyze datasets. Clean data, as required. Identify potential new datasets to add to the Data Warehouse. Identify potential new integrations between source systems and the Data Warehouse. Work with Technical Analysts to build requirements for views in DBT and the data warehouse.
Documentation
Work with Data Engineering in the development and maintenance of the data catalog. Create and maintain documentation of queries, transformations, and refreshes for reports.
Security / Governance
Follow, implement, and enhance data security and governance guidelines. Create, maintain, and implement security for DFLs. Review requests and grant access to DFLs, Reports, and Apps, as needed. Create and maintain RLS in visualization tool, where needed. Work with business stakeholders to understand and set security requirements, regarding build access and view access.
Change Management
Complete impact analysis on reports when changes are made to source systems or tables upstream. Identify, quantify, and communicate impacts to stakeholders and customers.
Coordination / Collaboration / Prioritization
Identify opportunities for data collaboration and integration between disciplines. Coordinate alignment, as applicable, across other T&I groups. Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery. Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing. Participate in Focus Group meetings to align support functions.
Training / Data Literacy
Train end-users on how to use and interpret information/insights on deployed dashboards/reports. Train end-users on how to build reports themselves. Provide on-the-job training to business stakeholders when needed. Work with Data Engineering and others to develop and maintain tools for Self Service Analytics. Increase data literacy of business stakeholders through targeted trainings and conversations. Identify opportunities to improve data literacy throughout DPR.
Data SME
Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology. Maintain understanding of our data pipeline architecture to articulate its benefits/limitations for end users. Ensure source of truth system(s) are identified and operational.
Qualifications
Master’s degree in Business Analytics, Data Analytics, Engineering, Architecture, Construction Management or related, plus five (5) years of experience in the application of data to solve problems, or Bachelor’s degree in one of the above plus seven (7) years of experience. Proven track record of managing large-scale analytics projects spanning multiple functional groups. Experience guiding business partners through the process of KPI development. Construction Experience including knowledge of industry trends, terminology, and typical processes is strongly preferred. Passion for the use of data and business intelligence principles and their ability to optimize business outcomes. Proven track record of translating business pain points into data requirements and solving complex problems with data. Analytic skills, including data mining, evaluation, analysis, and visualization. Ability to create semantic data models and understand dependencies between source systems. Experience in data visualization/BI tools – Power BI required, including creating and maintaining dataflows. Experience with consuming APIs from the client side including REST and GraphQL. Experience with SQL scripting required. Advanced business acumen and working knowledge of typical company operations, including how business decisions are evaluated, and the ability to apply this understanding to identify opportunities for improved decision making. Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills. Demonstrated success in building trusted relationships with internal/external clients and customers. A drive to do what it takes to get the job done and adapt to changing environments. Note: DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. This description reflects our focus and values as a private, employee-owned company.
#J-18808-Ljbffr