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Retail Data Analyst Remote Jobs (NOW HIRING)

Senior Healthcare Data Analyst - Remote

Centre, AL · Remote

$81K - $102K/yr

This position is fully remote. Overview The Healthcare Data Analyst Senior provides data analysis support to the customer by assisting with the development of reports and/or dashboards to monitor ...

Business Analyst (Remote, USA) Location: Remote, USA Employment type: Contract Indicative rate: $73 ... In this role, you will be responsible for gathering and documenting requirements, conducting data ...

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Data Analyst

Denver, CO · Remote

$80K - $100K/yr

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 ...

This is a full-time remote position. We offer competitive compensation packages including health ... Gather qualitative and quantitative research findings to build supporting evidence for retail and ...

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Retail Data Analyst Remote information

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$136K

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

As of Jul 13, 2026, the average yearly pay for retail data analyst remote in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a Retail Data Analyst (Remote)?

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.

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.

How does a remote 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 (Remote), 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.
More about Retail Data Analyst Remote jobs
What cities are hiring for Retail Data Analyst Remote jobs? Cities with the most Retail Data Analyst Remote job openings:
What are the most commonly searched types of Retail Data Analyst jobs? The most popular types of Retail Data Analyst jobs are:
What states have the most Retail Data Analyst Remote jobs? States with the most job openings for Retail Data Analyst Remote jobs include:
Infographic showing various Retail Data Analyst Remote job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Principal AI Data Analyst- Remote

Principal AI Data Analyst- Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

Full-time

Retirement

Posted 6 days ago

New


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

191st of 882 rated healthcare providers


Job description

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.  

The Principle Event Data Analyst (AI & Advanced Analytics) is responsible for leading AI driven investigation and analysis of workplace incidents and data events using a systematic, analytics first approach. This role focuses on identifying impacted data at scale through automation, machine learning, and advanced analytics, while collaborating with cross functional teams including security, legal, privacy, and engineering.

This role plays a key part in building and evolving an AI enabled investigative data platform, leveraging modern data lake architectures, distributed processing, and production AI/ML pipelines to accelerate insight generation and decision making.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

Primary Responsibilities:

  • Lead AI assisted analysis of data events and incident investigations using structured and unstructured data
  • Design and implement automated pipelines to ingest, normalize, deduplicate, enrich, and classify large scale datasets
  • Apply machine learning, entity resolution, and data fingerprinting techniques to identify impacted individuals and data elements
  • Build and maintain production analytics solutions using Python, PySpark, and Databricks
  • Develop and deploy AI driven workflows (including Generative AI use cases) to improve investigative speed, accuracy, and scalability
  • Secure, preserve, and validate data sources to maintain analytical integrity and evidentiary standards
  • Partner with security, legal, and privacy teams to translate complex analytical findings into clear, actionable insights
  • Create dashboards, visualizations, and analytical summaries for executive and technical stakeholders
  • Operate effectively in time sensitive environments while maintaining analytical rigor, objectivity, and confidentiality
  • Contribute to the evolution of Optum's AI and analytics capabilities within the cybersecurity and data protection space

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:

  • Bachelor's degree or 6 years of equivalent professional experience
  • 5 years of experience in advanced data analytics, data science, or AI focused analytical roles
  • 5 years of experience developing, testing, and deploying production grade Python code
  • 3 years of experience with DevOps and CI/CD tooling (GitHub Actions, Docker, Kubernetes, Terraform)
  • 3 years of experience with distributed data processing using PySpark and Databricks
  • Proven experience working with data lake architectures and medallion schemas
  • Proven solid expertise in SQL, data modeling, and data integration
  • Proven ability to transform unstructured data (e.g., documents, images, OCR-derived content) into structured, enriched, and model-ready datasets

Preferred Qualifications:

  • Advanced degree in Data Science, Computer Science, or a related field
  • Hands on experience with machine learning, predictive analytics, and classification models
  • Experience delivering AI driven analytics within a cybersecurity or incident response environment
  • Experience deploying Generative AI solutions into production analytics workflows
  • Experience with entity resolution, MDM technologies, or identity matching
  • Experience building AI models for file classification, data fingerprinting, or anomaly detection
  • Demonstrated familiarity with cloud platforms such as AWS, Azure, or Google Cloud
  • Demonstrated familiarity with eDiscovery platforms and large scale data investigations
  • Proven solid understanding of modern analytics platforms and scalable data architectures

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $112,700 - $193,200 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.    

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. 


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