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Retail Data Analyst Remote Jobs in Connecticut (NOW HIRING)

Data Analyst

Milford, CT · Remote

$22 - $28/hr

Remote (U.S. Based Preferred) Job Type: Part-Time (Flexible Hours) Pay: $22-$28 per hour (based on ... LT Apparel Group About the Role LT Apparel Group is hiring a remote Data Analyst to support our ...

New

You will leverage multi-modal omics data analysis and collaborate with biologists to solve scientific challenges to advance drug discovery programs. This opportunity can be remote * Support Oncology ...

Posted today

Sr. Engineer, Data & Analytics

Stamford, CT · Remote

$122K - $146K/yr

About the Role As our Sr. Engineer, Data & Analytics, you will build both the data foundation and ... This position is remote and will report into Lovesac Corporate HUB based in Stamford, CT.

Analyze syndicated data (e.g., NielsenIQ, Circana, Numerator), retailer POS, and internal sales ... Data integrity across customer reporting #LI-remote BIC World is an Equal Opportunity Employer. We ...

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Showing results 1-20

Retail Data Analyst Remote information

See Connecticut salary details

$32.3K

$78.6K

$129.4K

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

As of Aug 28, 2026, the average yearly pay for retail data analyst remote in Connecticut is $78,614.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 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 Connecticut?

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

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

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

Infographic showing various Retail Data Analyst Remote job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 11% Part Time, 2% Temporary, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $78,614 per year, or $37.8 per hour.

Data Analyst

Milford, CT • Remote

LT Apparel Group
Manufacturing • 201 - 500 employees

$22 - $28/hr

Part-time

Posted 3 days ago

New


Job description

Location: Remote (U.S. Based Preferred)
Job Type: Part-Time (Flexible Hours)
Pay: $22–$28 per hour (based on experience)
Company: LT Apparel Group

About the Role
LT Apparel Group is hiring a remote Data Analyst to support our growing data and reporting needs. You’ll manage and maintain master data, develop meaningful reports, and help ensure data accuracy across the company. If you're detail-oriented, proactive, and love turning numbers into insights, we want to hear from you.

What You’ll Do
Maintain and manage master data (create, update, delete)
Ensure high-quality data imports and provide QA support
Build and design reports and dashboards
Manage user access, roles, and metadata
Support data warehouse and reporting system enhancements
Troubleshoot data issues and reporting errors
Provide insight for business decisions through clean, reliable data
Collaborate with teams on new system implementations and upgrades

What We’re Looking For
Previous experience in a data analyst role (or similar)
Strong skills in Excel, SQL, and reporting tools (Power BI, Tableau, etc.)
A sharp eye for detail and accuracy
Excellent organizational and communication skills
Ability to work independently and meet deadlines in a remote environment

Compensation:
Part-time role starting at $22–$28/hr, depending on experience.
Ready to join our data-driven team? Apply today and help us turn data into results.