Our client is a custom software development company out of Grand Rapids, Michigan, that exists to make software that humans actually like to use.
Type: P/T Contract 20-40 hours/week to start
Duration: 2 months to start - could go longer, may convert to an FTE
Location: West MI (Prefer hybrid, will look at remote)
Position Summary
The Senior Business Intelligence Analyst is a senior client-facing role at the core of our growing Data & AI practice. You'll design and deliver modern analytics solutions, blend business intelligence with predictive insights, and collaborate directly with business leaders and technical teams to drive data-driven outcomes that create measurable business value. This role works hands-on with advanced technologies like Microsoft Fabric, Databricks, and Snowflake, while also leveraging AI and ML models to enhance and enrich client-facing reporting solutions.
Required Experience
- 5 years in business intelligence, analytics, or data consulting roles.
- Expert-level hands-on experience with Power BI (DAX, semantic modeling, Tabular Editor).
- Tableau development experience for building client-facing dashboards.
- Strong SQL expertise for data querying, validation, and troubleshooting.
- Direct experience integrating machine learning or predictive analytics into BI solutions.
- Strong client-facing consulting skills with the ability to lead solution discussions.
- Ability to engage both technical and business audiences and drive collaborative solutions.
- Demonstrated ability to surface actionable insights from large, disparate data sources, with a focus on connecting analytical findings directly to measurable business outcomes.
Preferred Experience
- Experience with cloud-native platforms such as Microsoft Fabric, Databricks, Snowflake, or Synapse.
- Familiarity with Python or similar scripting languages for ML integration, APIs, or automation.
- Understanding of AI/ML model deployment pipelines and real-time predictive scoring.
- Knowledge of data governance, security, and compliance frameworks.
- Previous experience in consulting or professional services settings.
- Industry experience in Manufacturing, Printing & Packaging, Construction, or Banking/Finance.
Education
- Bachelor's degree in Computer Science, Data Analytics, Information Systems, Engineering, Mathematics, Finance or related fields (or equivalent experience).
search terms: Business+Intelligence