Bachelor's degree in Computer Science, Analytics, or related field.
Minimum 4 years of experience in a BI or analytics role.
Strong hands-on experience with Power BI and Microsoft Fabric.
Proficiency in SQL, data modeling, and DAX.
Experience with row-level security and data masking techniques.
Responsibilities
Partner with Sales, Finance, and Supply Chain to align on KPIs and requirements.
Build and maintain Power BI solutions with reports and dashboards.
Investigate data discrepancies and ensure reporting accuracy.
Drive automation and propose process improvements.
Benefits
Opportunity for professional development and training in advanced analytics tools.
Flexible work schedule with 4 days in the office per week.
Performance-based bonus structure of 10%.
Full Job Description
Key Responsibilities
Business Engagement & Requirements: Partner with Sales, Finance, and Supply Chain to understand processes and KPIs, lead requirements sessions, and translate business needs into clear analytical solutions.
Development & Delivery: Build and maintain Power BI solutions, including intuitive reports and dashboards, wireframes, semantic models, and advanced DAX within Microsoft Fabric.
Problem Solving & Analysis: Break down complex requests, investigate data discrepancies, ensure reporting accuracy, and drive automation and process improvements.
Required Qualifications
Bachelor's degree (or equivalent) in Computer Science, Analytics, or a related field.
Minimum 4 years of experience in a BI or analytics role.
Strong hands-on experience with Power BI and Microsoft Fabric.
Proficiency in SQL, data modeling, and DAX.
Experience with row-level security, column-level filtering, role-based access controls, and data masking/anonymization.
Preferred Qualifications
Experience in the Consumer Packaged Goods (CPG) industry.
Knowledge of (or willingness to learn) data architecture, ETL, and data engineering using Python/PySpark.
Microsoft Fabric Analytics Engineer or Power BI certification.
Familiarity with ERP data.
Notes
Salary range: $85,000-$100,000, plus a 10% bonus.
This role is based in the Richmond office 4 days per week.
