Business Intelligence Analyst
Summary
Builds and maintains automated dashboards, KPI reporting, and revenue forecasting models that turn operational and financial data into clear insights for leadership. Works mostly on-site in Sterling Heights, MI using Excel, Power BI, and statistics/regression, with preferred Python, SQL, Power Automate, and Qlik.
Our Core Values
- Design, build, and maintain automated dashboards, KPI reporting, and forecasting models.
- Develop and maintain revenue forecasting models to support the sales team in new business opportunity.
- Apply statistical techniques, including multiple regression analysis, to identify drivers of performance and improve forecast accuracy.
- Develop intuitive visualizations to support operational and financial decision making.
- Perform ad hoc reporting requested submitted through Jira for multiple divisions.
- Partner with IT and business teams to integrate data sources and validate outputs.
- Automate recurring reporting and forecasting workflows to reduce manual effort.
- Provide training and documentation to help users effectively consume insights.
- 3+ years of experience in business intelligence, analytics, forecasting, or reporting roles.
- Expert-level Microsoft Excel skills including advanced formulas, PivotTables, Power Query, and basic modeling.
- Experience building reports or dashboards in Power BI.
- Strong understanding of data analysis, forecasting concepts, and data visualization best practices.
- Foundational statistics knowledge, including correlation and multiple regression analysis.
- Basic understanding of data structures, tables, and relationships.
- Strong attention to detail and data accuracy.
- Ability to communicate insights clearly to non-technical stakeholders.
- Understanding of how automation and AI can be embedded into analytics and forecasting workflows.
- Working knowledge of Python for data cleaning, automation, statistical analysis, or forecasting workflows.
- Experience using Power Automate to automate workflows, integrate systems, or support low-code solutions.
- Exposure to building low-code or no-code internal tools or lightweight web applications.
- Familiarity with AI-assisted analysis, including how to structure effective AI prompts and questions to support analysis, documentation, and insight generation.
- Basic SQL experience for querying and validating data.
- Experience working with enterprise BI platforms such as Qlik or similar tools.
- Strong analytical, statistical, and problem-solving skills.
- Ability to manage multiple priorities and deliver high-quality, accurate work.
- Ownership mindset with strong follow-through and accountability.
- Collaborative and service-oriented approach when working with internal teams.
- Health Coverage – Medical, Dental and Vision
- Voluntary Life/AD&D, Short-Term and Long-Term Disability, Critical Illness, Parental Leave
- 401(k) with company match
- Paid Time Off
- Paid Parental Leave
- Wellness Programs
- Referral bonus
- Additional Perks
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