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Retail Data Analyst Remote Jobs in Utah (NOW HIRING)

Nearmap

Business Analyst, Product

Lehi, UT · On-site +1

Fully remote within Pacific Standard time zone About the Role Product at Nearmap doesn't just build ... Support deal desk and complex approval workflows with data-driven analysis AI-Powered Analytics ...

Nearmap

Business Analyst, Product

Lehi, UT · On-site +1

Fully remote within Pacific Standard time zone About the Role Product at Nearmap doesn't just build ... Support deal desk and complex approval workflows with data-driven analysis AI-Powered Analytics ...

Nearmap

Business Analyst, Product

Lehi, UT · On-site +1

Fully remote within Pacific Standard time zone About the Role Product at Nearmap doesn't just build ... Support deal desk and complex approval workflows with data-driven analysis AI-Powered Analytics ...

micro1 AI

Cheminformatics Specialist - Remote

Provo, UT · On-site +1

$90 - $120/hr

Analyze and annotate complex biological data sets, focusing on applications relevant to medicinal chemistry. * Provide feedback and domain-specific insights to improve AI models in computational ...

Entrata

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

Perform model error analysis and identify opportunities to improve model behavior and output ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

Entrata

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

Perform model error analysis and identify opportunities to improve model behavior and output ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

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Retail Data Analyst Remote information

See Utah salary details

$31K

$75.2K

$123.8K

How much do retail data analyst remote jobs pay per year?

As of Aug 22, 2026, the average yearly pay for retail data analyst remote in Utah is $75,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,900.00 and $88,300.00 per year, depending on experience, location, and employer.

What is a retail data analyst?

A Retail Data Analyst (Remote) is a professional who works from a remote location to collect, analyze, and interpret data related to retail sales, customer behavior, inventory, and market trends. They use statistical tools and software to identify patterns, provide actionable insights, and support decision-making for retail businesses. Their work helps companies optimize pricing, improve inventory management, and enhance customer experiences without being physically present in a traditional office or store. Remote analysts frequently collaborate with teams via digital platforms and must be comfortable working independently while managing deadlines.

How does a retail data analyst typically collaborate with other departments to drive business decisions?

As a remote Retail Data Analyst, you’ll frequently collaborate with teams such as marketing, merchandising, operations, and IT. Communication is often handled through virtual meetings, shared dashboards, and collaborative platforms to ensure everyone has access to up-to-date insights. You’ll translate data findings into actionable recommendations, help set KPIs, and present your analyses to both technical and non-technical stakeholders. Building strong virtual relationships and clear communication are key to influencing decisions and driving improvements across the retail business.

What are the key skills and qualifications needed to thrive as a retail data analyst, and why are they important?

To thrive as a Retail Data Analyst (Remote), you need strong analytical skills, proficiency in statistics, and a degree in data science, business, or a related field. Familiarity with data visualization tools (such as Tableau or Power BI), SQL, and advanced Excel, along with experience in retail analytics platforms, is typically required. Attention to detail, problem-solving abilities, and effective remote communication make someone stand out in this position. These skills enable analysts to extract actionable insights from complex retail data, driving strategic decisions and business growth from a remote setting.

What is the difference between Retail Data Analyst Remote vs Retail Business Analyst?

AspectRetail Data Analyst RemoteRetail Business Analyst
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; proficiency in SQL, Excel, data visualization toolsBachelor's in Business, Economics, or related; strong analytical skills, familiarity with retail operations
Work EnvironmentRemote, independent data analysis, reporting, and visualizationOn-site or hybrid, analyzing business processes and strategies
Employer & Industry UsageRetail companies, e-commerce firms, and consulting agenciesRetail chains, merchandising firms, and supply chain companies

The main difference is that Retail Data Analyst Remote focuses on analyzing retail data remotely using technical skills, while Retail Business Analyst emphasizes understanding retail business processes and strategies, often with a broader scope. Both roles require analytical skills but differ in their focus and work environment.

What are the most commonly searched types of Retail Data Analyst jobs in Utah?

The most popular types of Retail Data Analyst jobs in Utah are:

What are popular job titles related to Retail Data Analyst Remote jobs in Utah?

For Retail Data Analyst Remote jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Retail Data Analyst Remote jobs in Utah look for?

The top searched job categories for Retail Data Analyst Remote jobs in Utah are:

What cities in Utah are hiring for Retail Data Analyst Remote jobs?

Cities in Utah with the most Retail Data Analyst Remote job openings:

Retail Data Analyst Remote jobs near you

Business Analyst, Product

Nearmap

Lehi, UT • On-site, Remote

Full-time

Re-posted 9 days ago

Job description

Company Description
About Nearmap
Property intelligence is reshaping how the world understands the built environment, and Nearmap is driving that. We put powerful aerial imagery, AI-driven analytics, and geospatial tools into the hands of the people who plan, build, insure, and govern the places we all live and work. Our technology turns property uncertainty into decisive action, and our culture brings out the best in the people who build it.
We move fast, we care about craft, and we're proud of what we're building. If you're energized by turning hard problems into real-world impact, we'd love to meet you.
Role Location: Fully remote within Pacific Standard time zone
Job Description
About the Role
Product at Nearmap doesn't just build the product-it shapes how the product reaches the market and delivers value once it's there. In this role, you'll provide the analytical foundation that helps our Go-To-Market team make smarter commercial decisions. You'll work closely with Sales, Revenue Operations, and Product leadership to translate product and market data into clear commercial insight, helping us understand where Nearmap products win, where they don't, what customers actually value, and how that should inform the way we package and position what we build.
What You'll Do
Commercial Analysis & Strategy
  • Partner with the GTM team to evaluate the accuracy and effectiveness of current product bundles and go-to-market structures
  • Support the rollout of Nearmap's updated commercial models and product-based TAM/SAM/SOM analysis as a primary near-term analytical workstream
  • Identify gaps between list rates and realized value across segments, verticals, and geographies
  • Drive a regular cadence of commercial reviews with clear recommendations for adjustments
  • Refine analytical frameworks covering willingness to pay, value anchoring, and competitive benchmarking
  • Support the development and testing of new bundle and packaging concepts
  • Build living documentation of analytical logic to ensure methodology becomes institutional knowledge, not tribal

Revenue Reporting, Performance Tracking & ROI
  • Maintain granular revenue and profitability reporting by product, vertical, and customer segment, with real-time dashboards that give leadership visibility into commercial performance, discount trends, deal economics, and margin health
  • Quantify and communicate the ROI customers receive from Nearmap products, supporting Sales Performance Managers with ROI models and value calculators for customer conversations
  • Collaborate with Customer Success and Product to surface usage and value signals from the customer base, maintaining product-based churn and upsell analytics
  • Support deal desk and complex approval workflows with data-driven analysis

AI-Powered Analytics & Tooling
  • Build durable, repeatable analytics assets using AI-assisted development practices-documented, version-controlled, and designed to run without you in the room
  • Identify and implement opportunities to automate reporting, anomaly detection, and commercial signal generation across the product portfolio
  • Work closely with Revenue Operations to implement commercial changes in CPQ and downstream systems, ensuring analytics infrastructure stays aligned with CRM and billing data

Qualifications
What We're Looking For
Required
  • 2-4 years of experience in product analytics, business intelligence, or commercial strategy
  • Strong SQL proficiency and fluency in at least one BI platform (Looker, Tableau, Power BI, or similar)
  • Demonstrated, day-to-day use of AI tools (LLM-assisted analysis, code generation, automated reporting) with Salesforce, Gong, Looker, Snowflake, and familiarity with Claude/Claude Code
  • Ability to build analytics assets designed to last: documented, maintainable, and understood by others
  • Clear communicator who can translate data into recommendations for non-technical stakeholders
  • Comfort working in ambiguity and driving your own work to completion

Preferred
  • Experience with SaaS commercial models (seat-based, consumption, usage-tiered, or hybrid structures)
  • Background in value strategy or revenue analytics in a B2B context
  • Experience with Python or dbt for data transformation and pipeline work
  • Insurance, geospatial, or PropTech vertical experience

Additional Information
Why you'll love working at Nearmap:
We move fast and work smart; often wearing multiple hats. We adapted to remote working with ease and are continually looking at ways to improve. We're proud of our inclusive, supportive culture, and maintain a safe environment where everyone feels a sense of belonging and can be themselves.
Nearmap offers:
  • In addition to flexible time off, Nearmap offers 4 extra "YOU" days off each year - take a break, no questions asked!
  • Company-sponsored volunteering days to give back.
  • Generous parental leave policies for growing families.
  • Work from Overseas Policy - explore the world in the approved list of cities while you work!
  • Discounted Private Health Insurance plans.
  • Monthly wellbeing and technology allowance.
  • A Nearmap subscription (naturally!).

Learn More About The Work We Do:
YouTube Page
LinkedIn Page
Thanks, but we got this! Nearmap does not accept unsolicited resumes from recruitment agencies and search firms. Please do not email or send unsolicited resumes to any Nearmap employee, location or address. Nearmap is not responsible for any fees related to unsolicited resumes.

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