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
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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
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Create and maintain the underlying data models, relationships, and row-level security configurations that enable self-service white space identification tools across 600+ subcategories
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Develop live OKR tracking dashboards for innovation pipeline, Private Label opportunities, and retailer-specific strategic decks
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Build predictive assortment optimization models using Monte Carlo simulations and SKU success forecasting
Backend Data Management & Database Engineering
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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
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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
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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
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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
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Automate recurring reports: monthly Brand Intelligence updates, quarterly thought leadership metrics, KPI snapshots for leadership
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Reduce manual Excel/PowerPoint workflows through dashboard automation and parameterized reporting
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Build alerting systems for KPI thresholds (e.g., velocity drops below 75th percentile, white space opportunities exceeding $1M)
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Enable retailer-specific and category-specific parameterized views (e.g., Albertsons Deli dashboard, Publix Cheese performance)
Stakeholder Collaboration & Training
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Partner with Consumer Insights Lead to translate analytical frameworks (5-stage white space, promotional lift tools, assortment optimization) into scalable dashboards
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Train cross-functional teams (Sales, Merchandising, Marketing, Category Management) on dashboard usage and self-service capabilities
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Gather requirements from business stakeholders across Exclusive Brands, Owned Brands, and Import teams
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Present insights, tool capabilities, and roadmap updates to senior leadership
Minimum Requirements, Qualifications, Additional Skills, Aptitude:
SKILLS, KNOWLEDGE AND ABILITIES:
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High competency in PowerBI, including DAX expressions, Power Query (M language), data modeling, relationship management, and row-level security implementation
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Advanced SQL proficiency for database management, data exploration, stored procedures, transformation logic, and ad hoc reporting
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CPG/retail data fluency: Understanding of UPC-level data structures, velocity, ACV, distribution, promotional lift, and market share metrics
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Proficiency in MS Office Suite, especially Excel (pivot tables, VLOOKUP, Power Pivot, VBA)
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Experience with syndicated data platforms: SPINS, Circana (formerly IRI), Nielsen, or Numerator
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Familiarity with retailer data systems (e.g., Kroger 84.51°, Albertsons Plated, retail POS feeds)
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Experience with Tableau or Qlik (in addition to PowerBI)
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Python for data pipeline automation, UPC database management, statistical modeling, and integration scripting (pandas, numpy, requests, etc.)
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Azure Data Factory, Databricks, or similar ETL tools for data pipeline automation
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SSRS report building for enterprise-grade reporting
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Analytical mindset with the ability to interpret complex CPG datasets and provide clear, actionable insights for cross-functional stakeholders and executive leadership
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Working knowledge of category management concepts (assortment planning, SKU productivity, promotional evaluation) sufficient to support analytical outputs—deep category expertise is not required
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Sense of urgency and attention to accuracy and detail in fast-paced, deadline-driven environment
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Self-motivated, eager to learn, and focused on continuous improvement of tools and processes
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Excellent communication skills: Ability to translate complex data findings into clear, compelling stories for non-technical stakeholders (buyers, sales teams, suppliers)
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Strong collaboration skills: Work across multiple departments (Merchandising, Sales, Finance, Marketing, Category Management)
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Highly credible, collaborative, and resourceful style with ability to work independently and as a team player
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Capable of managing multiple projects simultaneously and prioritizing based on business impact
EDUCATION AND EXPERIENCE:
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Bachelor's degree in Computer Science, Data Analytics, Information Systems, Business, Statistics, or related field
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4-5 years of experience using BI tools such as PowerBI, Tableau, or Qlik (PowerBI preferred)
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2+ years working with CPG/retail datasets, syndicated data platforms, or consumer insights analytics
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Proven experience building data models, writing DAX expressions, creating Power Query (M) transformations, and implementing row-level security in PowerBI
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Hands-on experience with syndicated data (SPINS, Circana, Nielsen) and ability to manage, map, and manipulate large UPC-level CPG datasets
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Experience in natural/organic foods, specialty grocery, or CPG distribution, preferred
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Background supporting Private Label development, innovation pipelines, or white space analysis, preferred
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Previous experience working with distributor data or supporting brand/supplier relationships preferred
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Knowledge of Exclusive Brands, KeHE portfolio, or specialty food distribution preferred
PHYSICAL REQUIREMENTS:
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Ability to remain in a stationary position (seated or standing) for extended periods.
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Ability to operate a computer, keyboard, mouse, and other standard office equipment.
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Ability to view a computer screen for long periods.
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Ability to move about the office occasionally to access files, equipment, or attend meetings.
Requisition ID: 2026-29358 Equal Employer Opportunity Statement: KeHE Distributors provides equal employment opportunities to all employees and applicants for employment and prohibits all forms of discrimination and harassment on the basis of race, color, religion or faith, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training as well as the administration of all Human Resources and Talent Acquisition processes.