Enterprise Business Data - Business Intelligence Analyst

Description

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

Requirements

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

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance