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Data Analyst Data Analyst Jobs in Minnesota (NOW HIRING)

Senior Data Analyst/Data Analyst III

Minnetonka, MN · On-site

$87.70K - $110.60K/yr

This IT Data Analyst should have a background in Business, Systems, and Data Analysis , with strong exposure to healthcare finance concepts . The role involves working closely with product owners and ...

Data Analyst

Minneapolis, MN · On-site

$130K - $138K/yr

The Data Analyst will respond to discovery requests from multiple state commissions by extracting, validating, and analyzing data related to customer accounts, credit inquiries, billing, and usage.

Must have - Business Analysis, Agile methodology(Proficient), Data Analysis(Proficient) Key Responsibilities: • Collect, clean, and analyze data from various cloud-based platforms. • Develop ...

Hybrid SQL Data Analyst This position will be a hybrid schedule and they will be working 40 hours a week. Look for a candidate with SQL data analysis skillset to support business prioritized projects ...

The Data Analyst is responsible for collecting, processing and analyzing data to provide actionable insights that support strategic decision-making. The role serves the division through statistical ...

Help with data analysis and validations to give confidence on delivery Please describe the team the candidate will be working with (number of team members break-down of the teams skill sets team ...

Data Analyst Minneapolis, MN Location: We provide a hybrid work schedule, allowing employees to work from home on some days and be present in the office on others. Office Address: 500 Washington Ave ...

Data Analyst Minneapolis, MN Location: We provide a hybrid work schedule, allowing employees to work from home on some days and be present in the office on others. Office Address: 500 Washington Ave ...

Description Data Analyst Minneapolis, MN Location: We provide a hybrid work schedule, allowing employees to work from home on some days and be present in the office on others. Office Address: 500 ...

Data Analyst Minneapolis, MN Location: We provide a hybrid work schedule, allowing employees to work from home on some days and be present in the office on others. Office Address: 500 Washington Ave ...

Data Analyst Location: Minneapolis, MN Long term Job Duties: Functional skills * Subject Matter Expert on master data management, analysis and quality. * Runs standard and ad-hoc data profiling for ...

Data gathering and analysis as part of assigned tasks and projects * Creating data visualization as part of assigned tasks and projects * Assist Editorial Service teams with market analysis and ...

Data Analyst

Bloomington, MN · On-site

$93.50K - $120K/yr

Data Analyst - Aon Affinity Do you enjoy turning complex data into clear, actionable insights for the business? Are you excited by the challenge of solving real-world problems on a global scale? Join ...

Data Analyst

Minneapolis, MN · On-site

$93.50K - $120K/yr

Data Analyst - Aon Affinity Do you enjoy turning complex data into clear, actionable insights for the business? Are you excited by the challenge of solving real-world problems on a global scale? Join ...

Data Analyst

Bloomington, MN

$93.50K - $120K/yr

Data Analyst - Aon Affinity Do you enjoy turning complex data into clear, actionable insights for the business? Are you excited by the challenge of solving real-world problems on a global scale? Join ...

Data Analyst

Bloomington, MN · On-site

$93.50K - $120K/yr

Data Analyst - Aon Affinity Do you enjoy turning complex data into clear, actionable insights for the business? Are you excited by the challenge of solving real-world problems on a global scale? Join ...

Data Analyst Location: St. Paul, MN Contract Details: * Position Type: Contract * Pay Rate: undefined (USD) Job Summary Join a core team to deliver analytical solutions related to ERP cloud-based ...

Data Analyst Performs data collection, analysis, validation, cleansing, and reporting. Designs, codes, tests, debugs, and documents ETL processes, SQL queries, and stored procedures. Extracts and ...

Data analysts work in collaborative scrum teams with developers, data scientists, and data engineers, and may share accountabilities in order to achieve sprint goals. They maintain a working ...

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Data Analyst Data Analyst information

What are the key skills and qualifications needed to thrive as a Data Analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools and programming languages like SQL, Python, R, and visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication skills help you interpret data and present actionable insights clearly to stakeholders. These skills and qualities are crucial for transforming raw data into meaningful information that supports better business decisions.

What are some common challenges Data Analysts face when working with cross-functional teams?

Data Analysts often collaborate with stakeholders from various departments, such as marketing, finance, and product. One common challenge is translating complex data findings into actionable insights that are easily understood by non-technical team members. Additionally, aligning on business objectives and ensuring data accuracy across different sources can require strong communication and problem-solving skills. Building relationships and being proactive in clarifying requirements can help Data Analysts navigate these challenges and deliver valuable results.

What is a Data Analyst?

A Data Analyst is a professional who collects, processes, and analyzes data to help organizations make informed business decisions. They use statistical techniques and software tools to interpret complex data sets, identify trends, and generate actionable insights. Data Analysts often create reports, visualizations, and dashboards to communicate their findings to stakeholders. Their work supports strategic planning, problem-solving, and performance improvement across various industries.

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

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, math, or related field; certifications like Microsoft Excel, SQLBachelor's or master's in computer science, statistics, or related; certifications in machine learning, Python, R
Work EnvironmentBusiness, finance, marketing teams; data reporting and visualizationResearch, development teams; predictive modeling and advanced analytics
Employer & Industry UsageWidely used across industries for data reportingMore common in tech, finance, and research sectors for complex data analysis

While both roles analyze data, Data Analysts focus on interpreting data to inform business decisions, whereas Data Scientists develop predictive models and advanced algorithms. The roles often overlap but differ in complexity and technical skills required.

What job categories do people searching Data Analyst Data Analyst jobs in Minnesota look for? The top searched job categories for Data Analyst Data Analyst jobs in Minnesota are:
What cities in Minnesota are hiring for Data Analyst Data Analyst jobs? Cities in Minnesota with the most Data Analyst Data Analyst job openings:
Senior Data Analyst/Data Analyst III

Senior Data Analyst/Data Analyst III

Medica

Minnetonka, MN • On-site

$87.70K - $110.60K/yr

Other

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Medica rating

8.3

Company rating: 8.3 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

112th of 258 rated insurance


Job description

Description Medica is a nonprofit health plan with more than a million members that serves communities in Minnesota, Nebraska, Wisconsin, Missouri, and beyond. We deliver personalized health care experiences and partner closely with providers to ensure members are genuinely cared for.
We're a team that owns our work with accountability, makes datadriven decisions, embraces continuous learning, and celebrates collaboration - because success is a team sport. It's our mission to be there in the moments that matter most for our members and employees. Join us in creating a community of connected care, where coordinated, quality service is the norm, and every member feels valued.
This IT Data Analyst should have a background in Business, Systems, and Data Analysis, with strong exposure to healthcare finance concepts. The role involves working closely with product owners and business stakeholders to understand business requests, analyze requirements and data, and translate those needs into welldefined user stories and data outcomes.
This position combines business process knowledge, healthcare finance domain understanding, and data expertise with information technology skills to enable and improve business capabilities. The analyst will support financial data domains such as billing, invoicing, payments, reconciliation, and general ledger (GL) integrations, ensuring data accuracy, traceability, and business alignment.
Responsibilities include performing detailed data requirements analysis, documenting processes, supporting data validation and reconciliation, and participating in user acceptance testing. To succeed in this role, the candidate should demonstrate strong analytical thinking, business acumen, and the ability to clearly explain complex data and financial concepts to nontechnical users. Performs other duties as assigned.
Key Accountabilities
  • Evaluate business and financial processes, anticipate requirements, identify improvement opportunities, and develop datadriven solutions using data analysis and profiling techniques
  • Gather and validate requirements from finance, operations, and IT stakeholders for financial reporting, billing, invoicing, payment, and reconciliation data
  • Analyze and document endtoend financial data flows, including source systems, transformations, and downstream reporting or GL integrations
  • Establish accurate business and financial data definitions; produce audienceappropriate data models aligned to healthcare finance concepts
  • Coordinate with developers, ETL teams, QA analysts, and DBAs to ensure financial data is accurately transformed, reconciled, and reported
  • Understand and document functional and nonfunctional requirements impacting financial data design, including auditability, traceability, and data quality
  • Decompose product features and finance initiatives into clear, testable user stories
  • Actively participate as a core member of scrum teams delivering finance and data modernization initiatives
  • Work with ETL and QA teams to validate financial data accuracy, completeness, and reconciliation across systems
  • Create and maintain sourcetotarget mappings, including mappings between operational systems, finance platforms, and data warehouses
  • Support financial data reconciliation, variance analysis, and rootcause investigation
  • Conduct meetings and presentations to communicate findings, risks, and recommendations to business and technical stakeholders
  • Document requirements, data mappings, business rules, and assumptions clearly and consistently
  • Serve as a liaison between finance, business, and technical teams
  • Provide leadership, coaching, and guidance to junior analysts
  • Ensure solutions meet business, finance, regulatory, and reporting needs
  • Support project planning, prioritization, and delivery aligned to business value

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Business, Finance, or equivalent experience
  • 5+ years of experience in software development and database applications, with a strong focus on data analysis, integration, and modeling
  • Demonstrated experience translating business and financial requirements into data solutions

Preferred Qualifications
  • Strong SQL and query tool proficiency
  • 3+ years of experience using ERwin or similar data modeling tools
  • Experience in the healthcare payer domain
  • Working knowledge of healthcare finance concepts, such as:

    • Billing and invoicing
    • Payments and remittance
    • Financial reconciliation
    • General Ledger (GL) integrations


  • Experience with data analysis, data profiling, mapping, and data quality techniques
  • Understanding of logical, physical, dimensional, and relational data models
  • Experience working with data warehouses and data marts
  • Exposure to ETL, reporting, analytics, or business intelligence platforms

Skills and Abilities

  • Strong analytical, conceptual, and problemsolving skills
  • Solid business and financial acumen, with the ability to understand how data supports billing, finance operations, and reporting
  • Ability to influence stakeholders and collaborate across business, finance, and technology teams
  • Familiarity with data management and governance principles
  • Excellent documentation and communication skills
  • Ability to create clear reports, data artifacts, and presentations for varied audiences
  • Strong organizational, planning, and timemanagement skills
  • Proven ability to follow through on commitments

This position is an Office role, which requires an employee to work onsite, at our Minnetonka, MN office on average, 3 days per week.

The full salary grade for this position is $100,300 - $172,000. While the full salary grade is provided, the typical hiring salary range for this role is expected to be between $100,300 - $150,465. Annual salary range placement will depend on a variety of factors including, but not limited to, education, work experience, applicable certifications and/or licensure, the position's scope and responsibility, internal pay equity and external market salary data. In addition to base compensation, this position may be eligible for incentive plan compensation in addition to base salary. Medica offers a generous total rewards package that includes competitive medical, dental, vision, PTO, Holidays, paid volunteer time off, 401K contributions, caregiver services and many other benefits to support our employees.

The compensation and benefits information is provided as of the date of this posting. Medica's compensation and benefits are subject to change at any time, with or without notice, subject to applicable law.

Eligibility to work in the US: Medica does not offer work visa sponsorship for this role. All candidates must be legally authorized to work in the United States at the time of application. Employment is contingent on verification of identity and eligibility to work in the United States.

We are an Equal Opportunity employer, where all qualified candidates receive consideration for employment indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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