Analyst, Customer Insights BI

Why Work for KeHE? Full-time Pay Range: $95,700.00/Yr. - $140,239.00/Yr. Shift Days: , Shift Time: Benefits on Day 1 Health/Rx Dental Vision Flexible and health spending accounts (FSA/HSA) Supplemental life insurance 401(k) Paid time off Paid sick time Short term & long term disability coverage (STD/LTD) Employee stock ownership (ESOP) Holiday pay for company designated holidays Overview Good people, working with good people, for our common good.Sound good?KeHE-a natural, organic, specialty and fresh food distributor-is all about "good" and is growing, so there's never been a more exciting time to join our team. If you're enthusiastic about working in an environment with a people-first culture and an organization committed to good living, good food and good service, we'd love to talk to you! Primary Responsibilities The Consumer Insights Business Intelligence Analyst will own the backend data management, UPC-level database architecture, and PowerBI infrastructure that power Consumer Insights’ transformation into a proactive intelligence platform. This is a hands-on technical role—you will write and maintain SQL queries, Python scripts, DAX measures, and Power Query (M) transformations to enable self-service insights, real-time KPI tracking, and predictive modeling to support Exclusive Brands’ Import, Private Label, and Owned Brand growth strategies. As with all positions at KeHE Distributors, we expect that all actions will be consistent with KeHE’s Mission, Vision, and Values. Essential Functions DUTIES, TASKS AND RESPONSIBILITIES: PowerBI Dashboard Development & Data Modeling Design, build, and maintain 12+ monthly Brand Intelligence dashboards using DAX measures, calculated columns, and Power Query (M) transformations to track brand velocity, promotional lift, and competitive positioning Create and maintain the underlying data models, relationships, and row-level security configurations that enable self-service white space identification tools across 600+ subcategories Develop live OKR tracking dashboards for innovation pipeline, Private Label opportunities, and retailer-specific strategic decks Build predictive assortment optimization models using Monte Carlo simulations and SKU success forecasting Backend Data Management & Database Engineering Own and manage UPC-level data mapping between CPG syndicated sources (SPINS, Circana, Nielsen), internal KeHE product databases, and the PowerBI data models they feed—ensuring consistency, accuracy, and traceability across all reporting Build and maintain automated ETL pipelines using Python scripts, SQL stored procedures, and Power Query (M) to ingest, clean, transform, and refresh UPC-level datasets on daily/weekly cadences Establish and enforce data governance standards for CPG UPC databases—maintaining master product hierarchies, resolving mapping discrepancies, and ensuring data quality across syndicated and proprietary datasets Design and maintain the centralized data architecture (SQL databases, Python-managed data stores) that serves as the single source of truth for Consumer Insights analytics across cross-functional teams Automation & Scalability Automate recurring reports: monthly Brand Intelligence updates, quarterly thought leadership metrics, KPI snapshots for leadership Reduce manual Excel/PowerPoint workflows through dashboard automation and parameterized reporting Build alerting systems for KPI thresholds (e.g., velocity drops below 75th percentile, white space opportunities exceeding $1M) Enable retailer-specific and category-specific parameterized views (e.g., Albertsons Deli dashboard, Publix Cheese performance) Stakeholder Collaboration & Training Partner with Consumer Insights Lead to translate analytical frameworks (5-stage white space, promotional lift tools, assortment optimization) into scalable dashboards Train cross-functional teams (Sales, Merchandising, Marketing, Category Management) on dashboard usage and self-service capabilities Gather requirements from business stakeholders across Exclusive Brands, Owned Brands, and Import teams Present insights, tool capabilities, and roadmap updates to senior leadership Minimum Requirements, Qualifications, Additional Skills, Aptitude SKILLS, KNOWLEDGE AND ABILITIES: High competency in PowerBI, including DAX expressions, Power Query (M language), data modeling, relationship management, and row-level security implementation Advanced SQL proficiency for database management, data exploration, stored procedures, transformation logic, and ad hoc reporting CPG/retail data fluency: Understanding of UPC-level data structures, velocity, ACV, distribution, promotional lift, and market share metrics Proficiency in MS Office Suite, especially Excel (pivot tables, VLOOKUP, Power Pivot, VBA) Experience with syndicated data platforms: SPINS, Circana (formerly IRI), Nielsen, or Numerator Familiarity with retailer data systems (e.g., Kroger 84.51°, Albertsons Plated, retail POS feeds) Experience with Tableau or Qlik (in addition to PowerBI) Python for data pipeline automation, UPC database management, statistical modeling, and integration scripting (pandas, numpy, requests, etc.) Azure Data Factory, Databricks, or similar ETL tools for data pipeline automation SSRS report building for enterprise-grade reporting Analytical mindset with the ability to interpret complex CPG datasets and provide clear, actionable insights for cross-functional stakeholders and executive leadership Working knowledge of category management concepts (assortment planning, SKU productivity, promotional evaluation) sufficient to support analytical outputs—deep category expertise is not required Sense of urgency and attention to accuracy and detail in fast-paced, deadline-driven environment Self-motivated, eager to learn, and focused on continuous improvement of tools and processes Excellent com