Business Intelligence Consultant

Hybrid: Will need to be onsite from day 1, two days a week. Wednesdays and Thursdays are required onsite days. Local candidates ONLY. Candidate MUST be located in Michigan and be able to abide by the hybrid work schedule. 2-3 professional references required Top Skills & Years of Experience: Candidates MUST have strong project management reporting & portfolio analytics experience A minimum of three (3), and preferably four to seven (4-7) years, of professional experience in data engineering, business intelligence, data analytics, or a related information technology discipline. Experience integrating, transforming, and analyzing data from multiple enterprise systems using SQL and modern data engineering techniques. Experience developing interactive dashboards, scorecards, and executive reporting using Microsoft Power BI or comparable business intelligence platforms. Experience working directly with business stakeholders to define reporting requirements, key performance indicators (KPIs), and performance measures. Portfolio Reporting and Business Intelligence Position Summary We are seeking an experienced BI Engineer to support portfolio reporting, business intelligence, and data analytics. The resource will be responsible for designing, developing, implementing, and maintaining enterprise reporting and business intelligence solutions that enable effective portfolio governance and performance management. Will transform data from multiple enterprise systems into actionable business intelligence supporting investment management, project oversight, risk identification, compliance monitoring, and executive decision-making. The resource may also develop reporting and analytical capabilities supporting the broader statewide IT portfolio, Project Portfolio Management (PPM) environment, and Investment Management processes. Position Responsibilities Portfolio Reporting and Business Intelligence Design, develop, implement, and maintain enterprise dashboards, executive scorecards, and business intelligence solutions supporting statewide IT investment management. Design meaningful Key Performance Indicators (KPIs), portfolio metrics, and visualizations that communicate organizational performance and portfolio health. Develop automated reporting processes that improve reporting accuracy, consistency, and timeliness. Data Engineering and Integration Design, develop, and maintain data pipelines integrating information from the Project Portfolio Management (PPM) platform, business intelligence environment, financial systems, governance repositories, and other enterprise data sources. Develop, optimize, and maintain complex SQL queries, data models, and transformation processes. Design scalable data models that support enterprise reporting and analytical capabilities. Ensure data quality, consistency, integrity, and reliability across reporting environments. Recommend improvements to enterprise data architecture supporting investment management and portfolio reporting. Analyze project, portfolio, financial, schedule, resource, governance, and operational data to identify trends, risks, opportunities, and emerging issues. Assess project health, risk management effectiveness, deliverable quality, and compliance with applicable standards and governance requirements. Perform root cause analysis to identify systemic portfolio issues and recommend corrective actions. Identify risks and opportunities requiring escalation to the executive leadership. Develop predictive and trend-based reporting supporting proactive portfolio management and investment decision-making. Business Analysis and Stakeholder Engagement Facilitate meetings with business stakeholders to identify reporting requirements, performance measures, and analytical needs. Gather, analyze, and document business and technical requirements for enterprise reporting solutions. Translate business requirements into technical reporting and dashboard solutions. Recommend reporting strategies, visualization approaches, and analytical solutions that improve executive decision-making. Document business requirements, technical specifications, data definitions, metadata, and reporting standards. Identify opportunities to automate manual reporting activities and improve reporting efficiency. Recommend enhancements to portfolio reporting processes, governance metrics, and business intelligence capabilities. Support development and maintenance of statewide reporting standards supporting project management and investment management. The selected candidate must possess: A minimum of three (3), and preferably four to seven (4-7) years, of professional experience in data engineering, business intelligence, data analytics, or a related information technology discipline. Demonstrated experience designing, developing, implementing, and maintaining enterprise reporting and business intelligence solutions. Experience integrating, transforming, and analyzing data from multiple enterprise systems using SQL and modern data engineering techniques. Experience developing interactive dashboards, scorecards, and executive reporting using Microsoft Power BI or comparable business intelligence platforms. Experience working directly with business stakeholders to define reporting requirements, key performance indicators (KPIs), and performance measures. Experience developing and optimizing SQL queries, data models, and data transformation processes. Preferred Qualifications Project Portfolio Management (PPM) systems such as Clarity, ServiceNow PPM, Planview, Microsoft Project Online, or similar enterprise portfolio management platforms. Enterprise data warehousing, semantic models, or business intelligence architecture. Developing automated reporting solutions using APIs, ETL processes, scripting languages, or data integration platforms. Government, public sector, or other large enterprise reporting environments. Project management methodologies including PMI PMBOK, Agile, Scrum, Kanban, or SAFe. Education Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics, Management Information Systems, Mathematics, Statistics, Engineering, or another closely related field. Equivalent combinations of education, technical training, professional certifications, and directly related experience may be considered. Desired Certifications The following certifications are preferred but not required: Microsoft Certified: Power BI Data Analyst Associate Microsoft Certified: Fabric Analytics Engineer Associate Certified Business Intelligence Professional (CBIP) Certified Data Management Professional (CDMP) #J-18808-Ljbffr Morph Enterprise