Enterprise Business Data - Business Intelligence Analyst

Description

• Create, maintain and execute quality control and practices to ensure that we deliver accurate information to end-users
• Identify opportunities to improve data literacy throughout DPR
• Create and maintain dashboards and Apps, as required
• Operate as the Subject Matter Expert for the business across data availability, quality, processes, and technology
• Deliver actionable insights to improve business processes and drive strategic conversations
• Create, maintain and communicate detailed schedules for this wide-ranging KPI development.
• Identify opportunities for data collaboration and integration between disciplines
• Train end-users on how to build reports themselves
• Identify potential new integrations between source systems and the Data Warehouse
• Create, maintain, and implement security for DFLs
• Create and maintain RLS in visualization tool, where needed
• Train end-users on how to use and interpret information/insights on deployed dashboards/reports
• Work with Technical Analysts to build requirements for views in DBT and the data warehouse
• Work with business stakeholders to understand and set security requirements, with regards to build access and view access
• Create and maintain documentation of queries, transformations, and refreshes for reports
• Review requests and grant access to DFLs, Reports, and Apps, as needed
• Participate in Focus Group meetings to align support functions
• 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.
• Identify opportunities for AI/ML/Data Science efforts and work with those teams on project delivery
• Work with Data Engineering in the development and maintenance of the data catalog
• Provide “on-the-job’ training to business stakeholders when needed
• Work with Data Engineering and others to develop and maintain tool for Self Service Analytics
• Maintain understanding of our data pipeline architecture to be able to articulate why we use it and its benefits/limitations for end users
• Complete impact analysis on reports when changes are made to source systems or tables upstream
• Work with stakeholders to prioritize requests and initiatives based on business impact and resourcing
• Troubleshoot and solution data integrity issues in visualization tool
• Work with stakeholders to understand and align on business requirements
• Coordinate technical teams performing development of KPIs and communicate progress to business teams.
• Create complex data models in visualization tool, and make transformations as needed
• Identify root source of data integrity issues (report, DFL, data warehouse, source system)
• Query Data Warehouse using SQL to quickly analyze datasets
• Track and monitor usage metrics to understand and measure adoption/impact of analytics
• Identify, quantify, and communicate impacts to stakeholders and customers
• Increase data literacy of business stakeholders through targeted trainings and conversations
• Follow, implement, and enhance data security and governance guidelines
• Identify potential new datasets to add to the Data Warehouse
• Ensure source of truth system(s) are identified and operational
• Coordinate alignment, as applicable, across other T&I groups
• Complete Ad-Hoc Analysis as required

Requirements

• Construction Experience including knowledge of industry trends, terminology, and typical processes is strongly preferred.
• 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 translating business pain points into data requirements and identifying and solving complex problems with data.
• Analytic skills, including data mining, evaluation, analysis, and visualization.
• Experience with SQL scripting required.
• Proven track record of managing large-scale analytics projects spanning multiple functional groups.
• Experience in data visualization/BI tools – Power BI required - including creating and maintaining dataflows.
• 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.
• Experience guiding business partners (who may have limited experience with technology and data) through the process of KPI development.
• Excellent organizational, leadership, interpersonal, communication (written, verbal and visual), and analytical skills are needed.
• Experience with consuming APIs from the client side including REST and GraphQL.
• Passion for the use of data and business intelligence principles and their ability to optimize business outcomes.
• Demonstrated success in building trusted relationships with internal/external clients and customers.
• Ability to create semantic data models and understand dependencies between source systems.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance