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Retail Data Systems Jobs in Minnesota (NOW HIRING)

Robert Half

Data Solutions Engineer

Minneapolis, MN · On-site

$60 - $75/hr

We are looking for a Data Solutions Engineer to support retail data initiatives in Minnesota. This long-term contract opportunity is suited for a hands-on data specialist who can shape scalable data ...

Horizontal Talent

Data Product Manager

Minneapolis, MN · Remote

This role partners closely with business stakeholders, analysts, source-system teams, and data ... Background supporting supply chain, logistics, or retail data initiatives * Familiarity with modern ...

Essor

Retail Sales Associate

Minneapolis, MN · On-site

$15.75 - $18/hr

We are seeking an Essor Retail Sr. Sales Associate to support our retail growth engine through ... Comfortable working with data systems and process automation; proactive in identifying ...

Best Buy

Placements.io Administrator

Minneapolis, MN · Hybrid

... Retail Media Network. You'll be the go-to expert for the Placements.io platform, helping teams ... Support integrations with ad serving, CRM, billing, reporting, and data systems * Troubleshoot ...

Best Buy

Placements.io Administrator

Richfield, MN · Hybrid

... Retail Media Network. You'll be the go-to expert for the Placements.io platform, helping teams ... Support integrations with ad serving, CRM, billing, reporting, and data systems * Troubleshoot ...

Best Buy

Placements.io Administrator

Richfield, MN · On-site

$93K - $166K/yr

... Retail Media Network. You'll be the go-to expert for the Placements.io platform, helping teams ... Support integrations with ad serving, CRM, billing, reporting, and data systems * Troubleshoot ...

Coffee And Bagel Brands

Data Architect

Brooklyn Center, MN · On-site

$65.75 - $84.75/hr

Design, develop, and maintain scalable pipelines that ingest data from source systems into the ... Experience supporting restaurant (QSR), retail, hospitality, or multi-unit operating environments.

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Retail Data Systems information

See Minnesota salary details

$10

$48

$72

How much do retail data systems jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for retail data systems in Minnesota is $48.15, according to ZipRecruiter salary data. Most workers in this role earn between $37.69 and $57.93 per hour, depending on experience, location, and employer.

What is a retail data systems?

A Retail Data Systems job involves managing and optimizing data systems used in retail operations. This includes maintaining point-of-sale (POS) systems, inventory databases, and customer relationship management (CRM) tools. Professionals in this role ensure data accuracy, troubleshoot technical issues, and enhance system efficiency to improve business operations. They may also assist with software implementation, cybersecurity measures, and data analytics to support decision-making.

What are the typical daily responsibilities for someone working in retail data systems?

Professionals in Retail Data Systems are often responsible for managing and maintaining point-of-sale (POS) and inventory management databases, ensuring data integrity, and generating analysis reports for store performance and sales trends. They frequently work with IT and retail management teams to troubleshoot system issues, implement software updates, and support end-users with data needs. Daily tasks may also include monitoring data feeds, reconciling discrepancies, and helping optimize business processes through data-driven insights. The role usually involves a mix of routine data maintenance and project-based work, offering both structure and variety in daily activities.

What are the key skills and qualifications needed to thrive in the retail data systems position, and why are they important?

To thrive in Retail Data Systems, candidates typically need a background in data management, familiarity with retail operations, and strong analytical abilities, often supported by a degree in information technology, business, or a related field. Experience with retail POS systems, database management software (such as SQL), and data analytics tools (like Tableau or Power BI) is highly valuable, and certifications such as CompTIA Data+ or Microsoft Certified: Data Analyst Associate can be beneficial. Effective communication, problem-solving skills, and attention to detail help professionals stand out in this dynamic environment. These skills are crucial for ensuring accurate data processing, informing business decisions, and supporting the technology needs of retail organizations.

What are the most commonly searched types of Retail Data Systems jobs in Minnesota?

The most popular types of Retail Data Systems jobs in Minnesota are:

What are popular job titles related to Retail Data Systems jobs in Minnesota?

For Retail Data Systems jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Retail Data Systems jobs in Minnesota look for?

The top searched job categories for Retail Data Systems jobs in Minnesota are:

Retail Data Systems jobs near you
Infographic showing various Retail Data Systems job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 10% Part Time, 4% Contract, and 2% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $100,155 per year, or $48.2 per hour.

Data Solutions Engineer

Robert Half

Minneapolis, MN • On-site

$60 - $75/hr

Temporary

Posted 4 days ago

Job description

We are looking for a Data Solutions Engineer to support retail data initiatives in Minnesota. This long-term contract opportunity is suited for a hands-on data specialist who can shape scalable data solutions, strengthen reporting capabilities, and guide technical teams toward reliable delivery. The role combines data engineering, business intelligence, and stakeholder collaboration to create trusted data assets that support operational and strategic decision-making.
Responsibilities:
• Guide and support data engineering and BI team members by setting direction, encouraging growth, and promoting strong cross-functional collaboration.
• Translate business priorities into measurable delivery goals, establish performance indicators, and monitor progress against expected outcomes.
• Architect, develop, and maintain robust data pipelines that move and transform information across internal platforms and third-party sources.
• Oversee ETL operations to ensure data is accurate, timely, and dependable for downstream reporting and analytics needs.
• Build and refine data models and warehouse structures that enable reporting, advanced analytics, and future predictive or machine learning use cases.
• Apply sound engineering practices such as automation, source control, and repeatable development standards to improve data platform quality and efficiency.
• Lead the creation and enhancement of Power BI and SSRS reporting solutions with a focus on usability, consistency, and alignment with business objectives.
• Partner with business stakeholders to gather requirements, convert them into technical designs, and deliver scalable BI and data solutions.
• Define visualization standards, reusable datasets, and semantic layers that support self-service reporting across the organization.

• Proven experience in data engineering with strong knowledge of ETL design, development, and support.

• Experience with Shopify is required.

• Retail industry experience strongly preferred.

• Hands-on expertise with DataStage ETL in enterprise data integration environments.

• Strong background building reporting and analytics solutions using Power BI, including semantic models and reusable datasets.

• Experience with Microsoft SSRS for operational or business reporting delivery.

• Solid understanding of data warehousing concepts, dimensional modeling, and scalable data architecture practices.

• Ability to lead or mentor technical teams while working effectively with business partners and cross-functional stakeholders.

• Familiarity with version control practices such as Git and a disciplined approach to development standards.

• Exposure to machine learning or AI-related data use cases is a plus.

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About Robert Half

Sourced by ZipRecruiter

Founded in 1948, Robert Half pioneered the idea of professional talent solutions to connect opportunities at great companies with highly skilled job seekers. As business needs changed, we evolved to offer specialized talent solutions for finance and accounting, technology, administrative and customer support, creative and marketing, and legal fields. In 2002, we introduced our subsidiary, Protiviti, a global independent risk consulting and internal audit service, to support companies as they faced more strategic business challenges.

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

San Ramon, CA, US

Year founded

1948

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