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Full Time Retail Data Analyst Jobs in Colorado (NOW HIRING)

... retail locations. We live and love mountain life, and as such see ourselves as caretakers of the ... YOUR ROLE The Data Analyst is a key early member of Stio's Data & Analytics team, working alongside ...

Senior Data Analyst

Denver, CO · Remote

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional ...

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional ...

Data Analyst I

Englewood, CO · Hybrid

$65K - $75K/yr

... data from internal and external sources to provide insight to analysts and decision makers ... The company offers a competitive compensation plan and robust benefits package for full-time ...

Data Analyst I

Englewood, CO · Hybrid

$65K - $75K/yr

... analysts and decision makers. * 2+ years of experience in a data-related role with working ... The company offers a competitive compensation plan and robust benefits package for full-time ...

Crime and Data Analyst

Pueblo, CO · On-site

$5.3K - $8.0K/mo

Main, CO Job Type: Full Time Job Number: 02948 Department: Law Enforcement Opening Date: 07/31/2026 ... Crime and Data Analyst develops, analyzes, and maintains systems to extract data from law ...

Signals Data Analyst, Mid

Aurora, CO · On-site

$69K - $158K/yr

Signals Data Analyst, Mid The Opportunity: Leverage SIGINT and non-SIGINT data sources to close ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

The Data Insights Analyst is responsible for analyzing complex data sets to generate meaningful ... Employee Discounts (retail, hotel, food, restaurants, car rental and much more!) Modivcare is an ...

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Full Time Retail Data Analyst information

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

To thrive as a Full Time Retail Data Analyst, you need strong analytical abilities, proficiency in statistics, and a relevant degree such as in mathematics, business, or data science. Expertise with data analysis tools like Excel, SQL, Power BI, and often Python or R, as well as experience with retail management systems, is typically required. Attention to detail, problem-solving, and effective communication are standout soft skills for interpreting data and sharing insights with stakeholders. These competencies enable analysts to make informed recommendations that drive sales, optimize inventory, and improve overall business performance.

What are some common challenges a full time retail data analyst faces when interpreting sales data from multiple store locations?

A Full Time Retail Data Analyst often encounters challenges such as data inconsistencies between locations, integrating data from various point-of-sale systems, and accounting for regional differences in customer behavior. Effective analysts must ensure data accuracy and standardization while also contextualizing trends that may be influenced by local events or promotions. Collaborating closely with store managers and IT teams is key to resolving discrepancies and gaining actionable insights that drive business decisions.

What is the difference between Full Time Retail Data Analyst vs Part Time Retail Data Analyst?

AspectFull Time Retail Data AnalystPart Time Retail Data Analyst
Work HoursTypically 35-40 hours per weekLess than 30 hours per week
CredentialsRelevant degree in data analysis, statistics, or related fieldSame as full-time, but may require less experience
Work EnvironmentFull-time retail stores, corporate offices, or warehousesSimilar environments, often with flexible scheduling
Employer UsageCommonly employed by retail chains for ongoing data analysisUsed for specific projects or seasonal analysis

Full Time Retail Data Analysts work regular hours and are employed on a permanent basis, focusing on ongoing data insights. Part Time Retail Data Analysts work fewer hours, often on a temporary or flexible basis, suitable for seasonal or project-specific needs. Both roles require similar skills and credentials but differ mainly in hours and employment stability.

What does a full time retail data analyst do?

A Full Time Retail Data Analyst is responsible for collecting, analyzing, and interpreting data related to retail sales, inventory, customer behavior, and market trends. They use statistical tools and software to identify patterns and insights that help improve business decisions, optimize inventory, and enhance customer experience. Their work supports strategic planning, marketing efforts, and overall business performance in a retail environment.
What job categories do people searching Full Time Retail Data Analyst jobs in Colorado look for? The top searched job categories for Full Time Retail Data Analyst jobs in Colorado are:
What cities in Colorado are hiring for Full Time Retail Data Analyst jobs? Cities in Colorado with the most Full Time Retail Data Analyst job openings:

$80K - $100K/yr

Full-time

Re-posted yesterday


Job description

At NuView Analytics - we help companies accelerate the time to insights from their data. We do this in three ways - data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on. Through our values of - humility, intellectual rigor, and stewardship - we help companies gain a new perspective on their business through their data.

Salary: $80k-100K + bonus + benefits
Location: 100% remote for US-based candidates

Responsibilities:

  • Candidate will complete data analytics and data science projects for clients
  • Candidate will work on client projects from start to finish - scoping, onboarding, delivering
  • Candidate will train and develop new skills in both engagement process and data analytics skill sets when needed

Projects Include:

  • Ad-hoc data analysis
  • Deep data investigation
  • Data visualization
  • Data integration
  • ETL Development

Qualifications:

  • Bachelor's Degree in Analytics, Economics, Mathematics, Computer Science or a related Field
  • 1-3 Years of Relevant job experience
  • SQL Required
  • R or Python experience a plus
  • Tableau, PowerBI, or Looker Proficiency including advanced calculations or advanced DAX
  • Looking for a self-starter that can work well autonomously and together with a team to figure out solutions for clients
  • Ability to process data objectively and efficiently
  • Intellectually curious about new data tools and data analytics/science strategies
  • Familiarity across modern data stack including ETL (Stitch, Rivery, Fivetran, etc), Data warehouse (Big Query, Redshift, Snowflake, etc.) and Data Visualization (Tableau, Looker, Power BI, etc.)
Employment Type: FULL_TIME