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Data Operations Analyst Jobs in Minnesota (NOW HIRING)

As a Marketing Operations Analyst on the Marketing Operations & Technology team, you'll help share ... This includes driving data governance and consistency across systems, enabling effective audience ...

Selene is seeking a qualified candidate for the Operations Analyst position ("Analyst"). This ... a to automate/enhance processes * Settlement contact on all deals - Mortgage pool closings ...

Selene is seeking a qualified candidate for the Operations Analyst position ("Analyst"). This ... a to automate/enhance processes * Settlement contact on all deals - Mortgage pool closings ...

Data Operations Engineer

Minneapolis, MN ยท On-site

$119K - $143K/yr

As a Data Operations Engineer at Datasite, you own the full lifecycle of partner data as it moves ... Mentor engineers and analytics contributors through coaching and feedback, including adoption of ...

Operations Analyst

Winona, MN ยท On-site

$52.15/hr

... operation and maintenance of computer networks; or an equivalent combination of education and ... Knowledge of data processing concepts, principles, and operating procedures. * Knowledge of ...

Sales Operations Analyst

Minneapolis, MN ยท On-site

$63K - $108K/yr

Data Stewardship & CRM Quality * Own day-to-day data quality standards for the CRM account ... operations, or a similar analytical role supporting a B2B sales organization. * Hands-on ...

Sales Operations Analyst

Minneapolis, MN ยท On-site

$63K - $108K/yr

Data Stewardship & CRM Quality * Own day-to-day data quality standards for the CRM account ... operations, or a similar analytical role supporting a B2B sales organization. * Hands-on ...

Sales Operations Analyst

Minneapolis, MN ยท On-site

$63K - $108K/yr

Data Stewardship & CRM Quality * Own day-to-day data quality standards for the CRM account ... operations, or a similar analytical role supporting a B2B sales organization. * Hands-on ...

Sr. Operations Analyst

New Ulm, MN ยท On-site

$85K - $105K/yr

Turn Data Into Decisions. Drive the Future of Manufacturing. At Windings, Inc., we're not looking ... If you're ready to use analytics to make a real operational impact, we'd love to hear from you.

The Commercial Operations Analyst is a dedicated analytical role sitting directly within the ... Build and maintain a data-driven whitespace model across the full account portfolio, mapping ...

The Commercial Operations Analyst is a dedicated analytical role sitting directly within the ... Build and maintain a data-driven whitespace model across the full account portfolio, mapping ...

The Commercial Operations Analyst is a dedicated analytical role sitting directly within the ... Build and maintain a data-driven whitespace model across the full account portfolio, mapping ...

Sr. Operations Analyst

New Ulm, MN ยท On-site

$85K - $105K/yr

Turn Data Into Decisions. Drive the Future of Manufacturing. At Windings, Inc., we're not looking ... If you're ready to use analytics to make a real operational impact, we'd love to hear from you.

The Commercial Operations Analyst is a dedicated analytical role sitting directly within the ... Build and maintain a data-driven whitespace model across the full account portfolio, mapping ...

Description Turn Data Into Decisions. Drive the Future of Manufacturing. At Windings, Inc., we're ... If you're ready to use analytics to make a real operational impact, we'd love to hear from you.

Showing results 21-40

Data Operations Analyst information

See Minnesota salary details

$33.3K

$80.9K

$133.2K

How much do data operations analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data operations analyst in Minnesota is $80,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,200.00 and $95,000.00 per year, depending on experience, location, and employer.

What is a data operations analyst?

Data Operations Analysts are professionals who manage, optimize, and ensure the accuracy of data workflows within an organization. They are responsible for collecting, processing, and analyzing data to support business operations and decision-making. Their duties often include maintaining databases, troubleshooting data issues, and collaborating with other teams to improve data quality and efficiency. By ensuring data integrity and availability, Data Operations Analysts help organizations make data-driven decisions and streamline their operations.

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

To thrive as a Data Operations Analyst, you need strong analytical skills, proficiency in data management, and a relevant degree such as in computer science, statistics, or a related field. Familiarity with SQL, data visualization tools (such as Tableau or Power BI), and data pipeline systems is typically required, along with certifications like Microsoft Certified: Data Analyst Associate being advantageous. Attention to detail, problem-solving ability, and effective communication are essential soft skills for collaborating with cross-functional teams and ensuring data integrity. These skills and qualities are vital for maintaining accurate data flows, supporting business decisions, and driving operational efficiency.

How does a data operations analyst typically collaborate with other departments to improve data processes?

Data Operations Analysts regularly work with cross-functional teams, including IT, business intelligence, and department leads, to streamline data collection, integration, and reporting. They often serve as the bridge between technical and non-technical teams, translating business needs into actionable data solutions. Effective collaboration may involve participating in meetings to understand project requirements, troubleshooting data issues with engineering teams, and training staff on new data tools or procedures. Strong communication skills are essential, as the role requires aligning diverse stakeholders toward common data integrity goals.

What is the difference between Data Operations Analyst vs Data Analyst?

AspectData Operations AnalystData Analyst
Required CredentialsBachelor's in Data Science, IT, or related field; certifications like Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Certified Data Analyst
Work EnvironmentData teams, IT departments, business operationsBusiness units, marketing, finance, or research teams
Employer & Industry UsageTech companies, finance, healthcare, retailMarketing agencies, consulting firms, finance, healthcare

While both roles involve working with data, Data Operations Analysts focus on managing data workflows, ensuring data quality, and supporting data infrastructure. Data Analysts primarily analyze data to generate insights, reports, and support decision-making. The roles often overlap but differ in their core responsibilities and focus areas.

What job categories do people searching Data Operations Analyst jobs in Minnesota look for? The top searched job categories for Data Operations Analyst jobs in Minnesota are:
Infographic showing various Data Operations Analyst job openings in Minnesota as of August 2026, with employment types broken down into 33% Full Time, 33% Temporary, and 34% Contract. Highlights an 100% In-person job distribution, with an average salary of $80,939 per year, or $38.9 per hour.

Marketing Operations Analyst

FocusKPI

Minneapolis, MN โ€ข On-site

Full-time

Re-posted 16 days ago


Job description

FocusKPI is looking for a Marketing Operations Analyst to join one of our clients, a high-tech SaaS company.

As a Marketing Operations Analyst on the Marketing Operations & Technology team, youโ€™ll help share the client's marketing data strategy. This includes driving data governance and consistency across systems, enabling effective audience targeting for strategic marketing initiatives, and ensuring compliance with privacy regulations such as GDPR and CCPA. This is a hands-on technical role, ideal for someone who thrives in ambiguity, works autonomously with large data sets, and brings structure to complex problems. The role involves writing complex SQL to access data in our warehouse, while also building and activating audiences through our customer data platform (CDP). The ideal candidate is innately curious and passionate about identifying novel approaches to derive value from disparate data sets and highly motivated to improve your skillset around the modern data stack.

Responsibilities:

  • Audience Targeting: Develop and implement audience segmentation strategies using advanced SQL queries and data manipulation to support targeted campaigns.
  • Data Governance and Management: Gain a comprehensive understanding of our data quality and flow processes, while identifying and developing solutions to enhance data usability and accessibility.
  • Compliance Oversight: Ensure all marketing data practices adhere to privacy regulations, including GDPR and CCPA.
  • Data Integration: Collaborate with cross-functional teams such as IT and engineering to integrate data from various sources into the customer data platform (CDP) for comprehensive analysis.
  • Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour.
  • Collaboration and Communication: Collaborate cross-functionally with marketing stakeholders to gather evolving requirements, design effective solutions, and clearly communicate nuances of the deliverable to ensure alignment and actionable outcomes.

Requirements:

  • Bachelorโ€™s degree in Data Science, Computer Science, or a related field
  • Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment
  • Proficiency in SQL for data manipulation and analysis. Comfortable with Python.
  • Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau
  • Strong analytical and problem-solving skills with the ability to interpret complex data sets and generate actionable insights.
  • Exceptional attention to detail and a commitment to maintaining high data quality standards.
  • Demonstrates innate curiosity, comfort with ambiguity, and a proactive approach to identifying opportunities for improvement and innovation in data processes

No C2C resumes are considered


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About FocusKPI

Sourced by ZipRecruiter

Industry

Computing infrastructure providers, data processing, web hosting

Company size

51 - 200 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2010