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Data Mapping Analyst Jobs in Colorado (NOW HIRING)

Sanborn Map

GIS Analyst

Colorado Springs, CO · On-site

Performing geospatial analysis, data collection (georeferencing and digitizing), data automation, QA/QC, and mapping activities * Performing hydro breakline collection, editing, attribution, and ...

TekSynap

Database Analyst/Programmer

Denver, CO · On-site

Uses data mapping, data mining, and data transformational analysis tools to design and develop databases. * Determines data storage and optimum storage requirements. * Prepares system requirements ...

Sanborn Map Company

GIS Analyst

Colorado Springs, CO · On-site

Performing geospatial analysis, data collection (georeferencing and digitizing), data automation, QA/QC, and mapping activities * Performing hydro breakline collection, editing, attribution, and ...

Pueblo County

Planning & GIS Analyst

Pueblo, CO · On-site +1

$5.3K - $8.0K/mo

POSITION SUMMARY Independently manages comprehensive research and data analysis assignments and projects; prepares and presents complex planning documents, maps, and graphics for public and ...

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Data Mapping Analyst information

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$35.8K

$86.9K

$143K

How much do data mapping analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data mapping analyst in Colorado is $86,898.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $102,000.00 per year, depending on experience, location, and employer.

What is a data mapping analyst?

A Data Mapping Analyst is responsible for analyzing, organizing, and translating data between different systems, formats, or databases. They ensure data accuracy, consistency, and proper integration by creating mapping documents and working closely with developers, business analysts, and data engineers. Their role is critical in data migration, system integration, and maintaining data integrity across platforms. Strong analytical skills, attention to detail, and knowledge of data structures and transformation processes are essential for success in this role.

What are the key skills and qualifications needed to thrive as a data mapping analyst?

To thrive as a Data Mapping Analyst, you need strong analytical skills, attention to detail, and a solid understanding of data structures, often supported by a degree in computer science, information systems, or a related field. Familiarity with data integration tools, ETL (Extract, Transform, Load) platforms, SQL, and sometimes certifications like Certified Data Management Professional (CDMP) are highly valuable. Excellent problem-solving abilities, communication skills, and the capacity to work collaboratively make candidates stand out. These skills are critical for accurately translating data between systems, ensuring data quality, and facilitating successful cross-functional projects.

What are the typical daily responsibilities of a data mapping analyst?

A Data Mapping Analyst typically spends their day analyzing source and target data systems, designing data mapping documents, and configuring or testing data transformations. They often collaborate closely with data engineers, business analysts, and project managers to ensure that data flows smoothly and accurately between different platforms. Additionally, they may review data quality, troubleshoot issues, and document mapping logic and processes for ongoing or future projects. This role requires both technical and communication skills to bridge gaps between business requirements and IT solutions.

What are the most commonly searched types of Data Mapping Analyst jobs in Colorado? The most popular types of Data Mapping Analyst jobs in Colorado are:
What are popular job titles related to Data Mapping Analyst jobs in Colorado? For Data Mapping Analyst jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Mapping Analyst jobs in Colorado look for? The top searched job categories for Data Mapping Analyst jobs in Colorado are:
Data Mapping Analyst jobs near you
Infographic showing various Data Mapping Analyst job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $86,898 per year, or $41.8 per hour.

Analyst, Customer Insights BI

KeHE Distributors, LLC

Boulder, CO • On-site

$95K - $140K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

KeHE Distributors rating

6.7

Company rating: 6.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

37th of 49 rated food wholesalers

Job description

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 communication skills: Ability to translate complex data findings into clear, compelling stories for non-technical stakeholders (buyers, sales teams, suppliers)
    • Strong collaboration skills: Work across multiple departments (Merchandising, Sales, Finance, Marketing, Category Management)
    • Highly credible, collaborative, and resourceful style with ability to work independently and as a team player
    • Capable of managing multiple projects simultaneously and prioritizing based on business impact

    EDUCATION AND EXPERIENCE:
    • Bachelor's degree in Computer Science, Data Analytics, Information Systems, Business, Statistics, or related field
    • 4-5 years of experience using BI tools such as PowerBI, Tableau, or Qlik (PowerBI preferred)
    • 2+ years working with CPG/retail datasets, syndicated data platforms, or consumer insights analytics
    • Proven experience building data models, writing DAX expressions, creating Power Query (M) transformations, and implementing row-level security in PowerBI
    • Hands-on experience with syndicated data (SPINS, Circana, Nielsen) and ability to manage, map, and manipulate large UPC-level CPG datasets
    • Experience in natural/organic foods, specialty grocery, or CPG distribution, preferred
    • Background supporting Private Label development, innovation pipelines, or white space analysis, preferred
    • Previous experience working with distributor data or supporting brand/supplier relationships preferred
    • Knowledge of Exclusive Brands, KeHE portfolio, or specialty food distribution preferred

    PHYSICAL REQUIREMENTS:
    • Ability to remain in a stationary position (seated or standing) for extended periods.
    • Ability to operate a computer, keyboard, mouse, and other standard office equipment.
    • Ability to view a computer screen for long periods.
    • 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.

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