Analyst, Customer Insights BI

Compensation & Benefits

• Pay Range: $95,700.00/Yr.
  
  - $/Yr.
• Benefits on Day 1
• Health / Rx
• Vision
• Flexible and health spending accounts (FSA/HSA)
• Supplemental life insurance
• 401(k)
• Paid time off
• Short term & long term disability coverage (STD/LTD)
• Employee stock ownership (ESOP)
• Holiday pay for company designated holidays

Good people, working with good people, for our common good.

• Power
  
  BI 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 Power
    
    BI 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

• High competency in Power
  
  BI, 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 Power
  
  BI)
• 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…