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Data Operations Analyst Jobs in Minnesota (NOW HIRING)

Careen Inc.

Sr. Operations Analyst (New Ulm)

New Ulm, MN · 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.

Careen, Inc.

Sr. Operations Analyst (New Ulm)

New Ulm, MN · 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.

Mortenson

Data Analyst - Finance

Minneapolis, MN

$72K - $109K/yr

Mortenson is currently seeking a Data Analyst - Finance who will be responsible for supporting ... Support in-app Operational Report development (Oracle Fusion, OTBI, FDI), as needed * Translate ...

US Bank

ACH Business Operations Analyst

Saint Paul, MN · On-site

$86K - $101K/yr

The ACH Business Operations Analyst supports ACH production operations by monitoring file activity ... Responsibilities include analyzing transaction data, investigating discrepancies, coordinating with ...

3M

Regional Field Operations Analyst

Maplewood, MN · On-site

$95K - $115K/yr

Maintain accurate records in ERP and WMS systems; support TMS data integrity * Coordinate cross ... and/or drayage operations required Additional qualifications that could help you succeed even ...

3M

Regional Field Operations Analyst

Maplewood, MN

$95K - $115K/yr

Maintain accurate records in ERP and WMS systems; support TMS data integrity * Coordinate cross ... and/or drayage operations required Additional qualifications that could help you succeed even ...

JLL

Data Center Operations Director

Minneapolis, MN · On-site

Director, Data Center Operations Essential Duties and Responsibilities: * Provide data center ... Advance market position with analytics of mission critical applications and processes to digitize ...

Robert Half

Master Data Specialist

Minneapolis, MN · On-site

$22 - $25/hr

... operations for a Contract position based in Bloomington, Minnesota. This role focuses on ... • Analytical problem-solving skills with the ability to identify and resolve data or payment ...

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Showing results 1-20

All JobsData Operations Analyst JobsData Operations Analyst Jobs in Minnesota

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 Jun 21, 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 are Data Operations Analysts?

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 are popular job titles related to Data Operations Analyst jobs in Minnesota? For Data Operations Analyst jobs in Minnesota, the most frequently searched job titles are:
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:
Data Operations Analyst jobs near you
Data Operations Engineer - Minneapolis, MN

Data Operations Engineer - Minneapolis, MN

Datasite

Minneapolis, MN • On-site, Remote

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Job description

Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing
and more. Here you'll find the finest technological pioneers: Datasite, Blueflame AI, Grata, and Sherpany. They all, collectively, define the future for business growth.
Apply for one position or as many as you like. Talent doesn't always just go in one direction or fit in a single box. We're happy to see whatever your superpower is and find the best place for it to flourish.
Get started now, we look forward to meeting you..
Job Description:
As a Data Operations Engineer at Datasite, you own the full lifecycle of partner data as it moves through our systems - ingestion, transformation, validation, and reconciliation - bringing the monitoring and SLA discipline that sophisticated partners expect. You balance partner trust, engineering velocity, and long-term data platform health while enabling intelligent, contract-driven data exchange across our partner ecosystem.
You bring hands-on experience with modern data tooling (Snowflake, dbt, Airflow, schema registries) paired with practical, AI-augmented workflows that compress manual investigation into minutes. You will help ensure new partnerships are delivered on a foundation of trustworthy data, with the rigor and creative problem solving that lets the broader engineering team stop firefighting and start building.
How We Work Together
Strategic Data Leadership
  • Guide data architecture decisions that incorporate AI-augmented capabilities into ingestion, transformation, and reconciliation workflows for partner integrations.
  • Partner with Product, Engineering, and partner teams to develop flexible data roadmaps aligned to Datasite strategy while adapting to fast-evolving partner data needs.
  • Drive pipeline improvements that scale across diverse partner data formats, reduce operational overhead, and improve reliability of SLA-bound data products.
  • Maintain adaptable data contracts and schema strategies, enabling rapid onboarding of new partners in uncertain, high-velocity environments.

Cross-Team Collaboration & Influence
  • Identify and drive cross-platform improvements (schema registries, validation tooling, data contracts, lineage tracking) that enhance partner and developer experiences.
  • Collaborate across Engineering, Product, and partner teams to deliver AI-first, integration-ready data solutions.
  • Communicate complex data concepts clearly, translating pipeline design trade-offs and SLA commitments for diverse stakeholders.
  • Provide technical guidance that ensures alignment, simplicity, and consistency across data flows and partner integrations.

Problem Solving & Overcoming Obstacles
  • Evaluate trade-offs across freshness, accuracy, latency, and cost, especially in partner-driven and AI-augmented data workflows.
  • Simplify pipelines and drive down data debt while supporting rapid experimentation and onboarding of new partners.
  • Own ambiguous data challenges - mismatched schemas, silent failures, partial loads, reconciliation gaps - and drive them to resolution.
  • Apply strong diagnostics to identify root causes of data discrepancies and deliver resilient, auditable solutions.

Mentorship & Growth
  • Mentor engineers and analytics contributors through coaching and feedback, including adoption of modern and AI-augmented data practices.
  • Support team growth by promoting continuous learning, experimentation, and adaptability in data engineering methods.
  • Foster a culture of psychological safety, collaboration, and shared ownership of data quality.
  • Help raise the bar in hiring, ensuring alignment with Datasite's technical and cultural expectations.

Ownership & Accountability
  • Own end-to-end design and delivery of ingestion pipelines, transformation layers, reconciliation processes, and partner-facing data products.
  • Build pipelines with strong observability, alerting, and self-healing characteristics - so issues are identified and, where possible, remediated before they become partner-visible.
  • Track progress, manage risk, and adapt plans while maintaining a bias for action and high-quality execution.
  • Ensure new partnerships are delivered with care, reliability, and ingenuity, balancing speed with long-term data integrity.

What We're Looking For
  • Strong experience designing and operating data pipelines with defined latency, freshness, and accuracy SLAs
  • Expert SQL skills and proven ability to work with large, complex datasets across diverse partner schemas
  • Hands-on experience with modern data tooling such as Snowflake, dbt, Airflow, and schema registries
  • Practical, in-the-workflow use of agentic tooling to accelerate schema mapping, anomaly detection, data profiling, and pipeline debugging
  • Track record of building monitoring, alerting, runbooks, and reconciliation processes for systems with external commitments
  • Ability to ramp quickly on new partner ecosystems, data formats, and domains
  • Proven success leading work in ambiguous, fast-moving environments
  • Excellent collaboration, communication, and cross-team influence

Work Location & Flexibility
  • This role follows a hybrid work model and is open to candidates based near our Minneapolis office. Employees are expected to work on-site a minimum of two days per week.

The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate's compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time.
$99,000.00 - $172,700.00
Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.

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