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Business Intelligence & Analytics Specialist

Nature's Path · Richmond
Full-timeFinance & InsuranceMid Level$85,000–$100,000/yr
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About the Business Intelligence Analytic Specialist role

Business Intelligence Analytic Specialist positions focus on delivering results in their domain. This page aggregates open Business Intelligence Analytic Specialist roles and what employers typically expect.

**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.

Salary estimate

$85,000 – $100,000/yr
Provided by the employer.

Skills for this role

PythonSQLPower BiSalesETLSecurityAutomation

Resume tips for Business Intelligence Analytic Specialist applicants

Interview preparation

Prepare concrete STAR-format stories that show Business Intelligence Analytic Specialist outcomes you drove.

Research the employer's product and recent news before the interview.

Be ready to explain how you'd approach a typical Business Intelligence Analytic Specialist problem end to end.

Have thoughtful questions ready about the team, tools and success metrics.

About Nature's Path

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