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Retail Data Analyst Remote Jobs in Baltimore, MD

... remote; onsite for key meetings/trainings as needed) Type: 12-month contract Schedule: 40 hours/week Pay (W2): $36/HR About the role We're looking for a Reporting Analyst who enjoys turning raw data ...

... remote; onsite for key meetings/trainings as needed) Type: 12-month contract Schedule: 40 hours/week Pay (W2): $36/HR About the role We're looking for a Reporting Analyst who enjoys turning raw data ...

... remote; onsite for key meetings/trainings as needed) Type: 12-month contract Schedule: 40 hours/week Pay (W2): $36/HR About the role We're looking for a Reporting Analyst who enjoys turning raw data ...

Data Modeler

Baltimore, MD · On-site +1

$54.50 - $70.50/hr

Hello Folks, Please find the below requirement and let me know your interest? 100% Remote W2 Role ... analytics systems. * Experience implementing and maintaining data modeling standards, best ...

Showing results 41-60

Retail Data Analyst Remote information

See Baltimore, MD salary details

$33.8K

$82.1K

$135.1K

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

As of Aug 19, 2026, the average yearly pay for retail data analyst remote in Baltimore, MD is $82,114.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 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 job categories do people searching Retail Data Analyst Remote jobs in Baltimore, MD look for?

The top searched job categories for Retail Data Analyst Remote jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Retail Data Analyst Remote jobs?

Cities near Baltimore, MD with the most Retail Data Analyst Remote job openings:

Infographic showing various Retail Data Analyst Remote job openings in Baltimore, MD 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 $82,114 per year, or $39.5 per hour.

Sr. Data Platform Engineer

Real Time Medical Systems

Linthicum Heights, MD • Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 5 days ago


Job description

Sr. Data Platform Engineer

This is a fully remote role.

Job purpose summary
Real Time’s suite of Interventional Analytics solutions enables post-acute facilities to seamlessly collaborate with their partner hospitals, health systems, ACOs, and managed care plans to improve care, reduce costs, and achieve a level of interoperability.
Real Time is seeking a Senior Data Platform Engineer with deep hands-on experience across AWS, Terraform, Python, PySpark, SQL Server, PostgreSQL, and C#. This role will focus on designing and optimizing cloud-native data solutions, driving performance and cost efficiency, and enabling large-scale migrations from legacy SQL Server systems to modern PostgreSQL-based architectures.
The ideal candidate thrives in independent, dynamic environments, is comfortable shifting between multiple projects, and can balance long-term architecture with short-term deliverables.
Duties and responsibilities

  • Design, build, and optimize data pipelines (batch and streaming) using PySpark, Python, and SQL
  • Lead and support SQL Server → PostgreSQL migration efforts, including schema translation, performance tuning, and data validation
  • Implement and maintain Terraform infrastructure for AWS services (S3, Glue, Lambda, EMR, Redshift, DMS, etc.)
  • Conduct performance and cost optimization reviews of AWS workloads, recommending and implementing improvements
  • Develop frameworks for data quality, monitoring, and reconciliation
  • Collaborate with business stakeholders and other engineers to translate requirements into scalable solutions
  • Apply software engineering best practices (version control, CI/CD, testing, code reviews) to data engineering workflows
  • Contribute to standards, best practices, and technical mentorship across the team
  • Participate in a rotating on-call schedule to provide production support, ensuring reliability of data platforms with minimal disruption to business operations

Additional Duties and Responsibilities
  • Maintain regular and punctual attendance.
  • Any other assigned tasks
  • Comply with all company policies and procedures.
Qualifications
  • 5+ years of professional experience in data engineering or software engineering roles
  • Advanced skills with Python and PySpark for large-scale data processing
  • Strong SQL development experience, including query tuning and ETL/ELT design
  • Hands-on experience with AWS data services (S3, Glue, EMR, Lambda, DDB, DMS, CloudWatch, IAM, VPC)
  • Experience with Terraform/Terragrunt (or equivalent IaC) for AWS infrastructure automation
  • Familiarity with SQL Server and PostgreSQL, including database optimization and migration patterns
  • Working knowledge of C# for application/data integrations
  • Strong grasp of data modeling, architecture, and governance best practices
  • Excellent problem-solving skills, ability to self-manage, and comfort working in environments with changing priorities
  • Bachelor’s degree required
  • Excellent verbal, written and presentation skills.
  • Ability to thrive in a fast paced, deadline driven environment.
  • AWS certification (Solutions Architect, Data Analytics, or DevOps) a plus
  • Data visualization experience with Tableau, PowerBI, MicroStrategy, etc. also a plus
  • Experience working in the healthcare industry a plus
  • You must love what you do! You will be working with other talented and passionate individuals who enjoy working and solving problems together!

Additional Qualifications
  • Independent contributor who can also collaborate effectively in a remote environment
  • Strong communication skills, both technical and business-oriented
  • Comfortable balancing multiple priorities without losing quality
  • Reliability and responsiveness when participating in the on-call rotation, with a proactive and calm approach to production issues
  • Positive, solution-oriented mindset - able to tackle tasks with optimism

Working conditions
Position requires minimal amount of travel.
Remote/Work from anywhere work environment within the United States.
Physical requirements
Remaining in a stationary position, often sitting for prolonged periods.
Direct reports
None

Why you'll love it here:

  • You’ll be part of a team that helps save lives every day, and improves the lives of 100,000s of people!
  • Competitive base salary
  • Work from home
  • Ongoing training and coaching for career development
  • Comprehensive medical, dental and vision coverage with significant company contribution
  • Disability insurance
  • 401(k) retirement savings program

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