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Applied Data Analytics Jobs in Minnesota (NOW HIRING)

Affordability Analyst III

Minnetonka, MN · On-site

$90K - $155K/yr

Mentor and provide guidance to junior analysts on advance and applied data analysis techniques, tools and best practices to foster a culture of continuous learning and improvement. * Data Analysis

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Senior Data Scientist

Minneapolis, MN · On-site

$132K - $155K/yr

... view of the analysis. Measures and monitors results of applied recommendations and present ... Ensures all data acquisition, sharing and results of applied recommendations are compliant with ...

... energy physics and data science, you'll develop sophisticated analytical models that design ... NextEra Analytics is seeking an Applied Scientist I to join our innovative Applied Science team ...

Applied Scientist I

Saint Paul, MN · On-site

$96K - $144K/yr

... energy physics and data science, you'll develop sophisticated analytical models that design ... NextEra Analytics is seeking an Applied Scientist I to join our innovative Applied Science team ...

Showing results 41-60

Applied Data Analytics information

See Minnesota salary details

$25.3K

$125.8K

$223K

How much do applied data analytics jobs pay per year?

As of Aug 9, 2026, the average yearly pay for applied data analytics in Minnesota is $125,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,130.00 and $169,061.00 per year, depending on experience, location, and employer.

What is applied data analytics?

An Applied Data Analytics job involves using data analysis, statistical methods, and machine learning techniques to extract insights and support decision-making in various industries. Professionals in this role work with large datasets, clean and preprocess data, and create visualizations to communicate findings effectively. They often use programming languages like Python or R, along with database tools such as SQL, to analyze trends and optimize business processes. Applied Data Analytics roles are found in sectors like healthcare, finance, marketing, and technology, helping organizations make data-driven decisions.

Is applied data analytics a good career?

Applied data analytics is a growing field with strong demand for professionals skilled in data analysis, statistical methods, and tools like SQL, Python, or R. It offers opportunities across various industries, competitive salaries, and potential for career advancement, making it a viable and rewarding career choice.

What does someone working in applied data analytics do?

Professionals in Applied Data Analytics typically spend their days collecting, cleaning, and analyzing large datasets to identify trends and patterns relevant to their organization’s goals. They use various statistical and machine learning techniques to build predictive models, generate visual reports, and present data-driven recommendations to stakeholders. Collaborating with cross-functional teams such as marketing, operations, and IT is common, ensuring data solutions are closely aligned with business needs. This dynamic role also involves continuous learning to keep up with evolving analytical tools and methodologies.

What are the key skills and qualifications needed to thrive in applied data analytics?

To thrive in Applied Data Analytics, you need strong analytical skills, proficiency in statistical methods, and typically a degree in data science, statistics, computer science, or a related field. Familiarity with programming languages such as Python or R, experience with data visualization tools like Tableau or Power BI, and knowledge of SQL are commonly required, along with relevant certifications such as Certified Analytics Professional (CAP). Strong problem-solving abilities, effective communication, and a knack for translating complex data into actionable insights set standout professionals apart. These skills are crucial for transforming raw data into meaningful solutions that support informed business decisions and drive organizational success.

What are popular job titles related to Applied Data Analytics jobs in Minnesota? For Applied Data Analytics jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Applied Data Analytics jobs in Minnesota look for? The top searched job categories for Applied Data Analytics jobs in Minnesota are:
Infographic showing various Applied Data Analytics job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $125,793 per year, or $60.5 per hour.

Affordability Analyst III

Medica

Minnetonka, MN • On-site

$90K - $155K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago


Medica rating

8.4

Company rating: 8.4 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

116th of 304 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 data-driven 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.

The Affordability Analyst will support the manager in developing and maintaining multi-year affordability analytics pipeline. This role will have a strong emphasis on data analysis, establishing standards, and best practices and creating frameworks that guide the affordability team in delivering actionable insights that enhance healthcare affordability. The ideal candidate will leverage data to inform healthcare savings initiatives, drive decision-making and improve outcomes. Performs other duties as assigned.

Key Accountabilities

  • Leadership
    • Mentor and provide guidance to junior analysts on advance and applied data analysis techniques, tools and best practices to foster a culture of continuous learning and improvement.
  • Data Analysis
    • Conduct comprehensive analyses of healthcare affordability data to identify trends, patterns and opportunities for improvement.
    • Develop and maintain standardized methodologies for data collection, analysis, and reporting to ensure consistency and reliability across the affordability team.
    • Prepare detailed dashboards and reports and engaging presentations for leadership, clearly articulating key findings, insights and recommendations.
    • Assist in prioritizing analytics projects, establishing clear metrics for success and managing timelines to ensure timely delivery of insights.
    • Develop the capability to measure long-term value driven by affordability efforts over multiple years.
  • Collaboration and Partnerships
    • Collaborate with the affordability team and enterprise business unit leaders to design and implement robust data collection processes and reporting frameworks that facilitate effective decision-making.
    • Engage with cross-functional teams to identify data needs and ensure alignment on analytics initiatives that support broader organizational goals.
    • Develop and manage the "value realization/value story" utilizing affordability analytics data and input from key stakeholders and partners.
  • Business Acumen
    • Develop, document, and maintain operating playbooks, workflows, and standard operating procedures for analytics processes, ensuring consistent and well documented methodologies.
    • Stay current with industry trends and advancements in data analysis methodologies to continuously enhance the team's analytical capabilities.
    • Ensure compliance with all applicable laws and regulations in analytics practices.

Required Qualifications

  • Bachelor's degree or equivalent experience in related field
  • 5 years of work experience beyond degree

Preferred Qualifications

  • Strong proficiently in data analysis tools (e.g., SQL, Python, R, Excel) and visualization techniques/software (e.g. Power BI, Tableau)
  • Proven experience in developing and implementing data standards and best practices within an analytical environment.
  • Proficiency in Microsoft Office applications including Word, PowerPoint, Excel, and Access.
  • Demonstrated ability to design, evaluate, and interpret complex data sets, with strong analytical and problem-solving skills.
  • Excellent written and verbal communication skills, capable of conveying complex information clearly and concisely to diverse audiences.
  • Experience working both independently and collaboratively in cross functional teams, engaging with individuals from diverse professional backgrounds.
  • Master's degree in Data Science, Healthcare Analytics, Healthcare Economics or a related field
  • Management consulting experience with a focus on analytics.

This position is an Office role, which requires an employee to work onsite, on average, 3 days per week. We are open to candidates located near one of the following office locations: Minnetonka, MN, or Madison, WI.

The full salary grade for this position is $90,500 - $155,200. While the full salary grade is provided, the typical hiring salary range for this role is expected to be between $90,500 - $122,835. 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 compensation, 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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