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Senior Data Analytics Engineer Jobs in Minnesota

Sr Data Engineer BI

Bloomington, MN · Hybrid

$120K - $130K/hr

The Senior Data Engineer is a hands-on technical leader responsible for designing, building, and evolving QBP's modern data platform that powers Business Intelligence, AI, and advanced analytics ...

Sr Data Analyst

Minneapolis, MN · On-site

$88K - $158K/yr

This Senior Data Analyst role within the Food Supply Chain Data & Analytics team is focused on ... The position operates at the intersection of business strategy and advanced analytics, partnering ...

Sr Data Engineer BI

Bloomington, MN · On-site

$110K - $150K/yr

The Senior Data Engineer is a hands-on technical leader responsible for designing, building, and evolving QBP's modern data platform that powers Business Intelligence, AI, and advanced analytics ...

Senior Data Scientist

Virginia, MN · On-site

$131.30 - $237.35/hr

As a Senior Data Scientist, you will : * Lead the design, development, and deployment of advanced ... Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex ...

Sr. Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

W2 Role only, No visa sponsorship at this time Sr. Data Engineer Locals only/out of area/ remote? Hybrid in Minneapolis MN or Madison WI - must already be local and living within 50 miles 3-5 Must ...

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Data and Analytics Job Subfunction: Data Science and Analytics Summary of Job: As a senior analytics engineer, you'll work across a dynamic client roster designing and building data solutions that ...

Showing results 41-60

Senior Data Analytics Engineer information

See Minnesota salary details

$79.3K

$123.7K

$171.4K

How much do senior data analytics engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for senior data analytics engineer in Minnesota is $123,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,800.00 and $141,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

What are the key skills and qualifications needed to thrive as a senior data analytics engineer, and why are they important?

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.
What are the most commonly searched types of Data Analytics Engineer jobs in Minnesota? The most popular types of Data Analytics Engineer jobs in Minnesota are:
What are popular job titles related to Senior Data Analytics Engineer jobs in Minnesota? For Senior Data Analytics Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Senior Data Analytics Engineer jobs in Minnesota look for? The top searched job categories for Senior Data Analytics Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Senior Data Analytics Engineer jobs? Cities in Minnesota with the most Senior Data Analytics Engineer job openings:
Infographic showing various Senior Data Analytics Engineer job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $123,727 per year, or $59.5 per hour.

$90.80 - $149.80/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Blue Cross Blue Shield Of Minnesota rating

6.0

Company rating: 6.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

281st of 304 rated insurance


Job description

About Blue Cross and Blue Shield of Minnesota

At Blue Cross and Blue Shield of Minnesota, we are committed to paving the way for everyone to achieve their healthiest life. We are looking for dedicated and motivated individuals who share our vision of transforming healthcare. As a Blue Cross associate, you are joining a culture that is built on values of succeeding together, finding a better way, and doing the right thing. If you are ready to make a difference, join us.

The Impact You Will Have

Blue Cross and Blue Shield of Minnesota is looking for a Senior Data Scientist on our Methods Analytics team!

The Senior Data Scientist on the Identification & Stratification Method Analytics team leads the design, development, and continuous improvement of data‑driven processes that identify and prioritize members for care management and utilization management programs. This role focuses on applying statistical and population health methodologies—rather than heavy technical engineering—to analyze member populations, uncover insights, and guide program targeting strategies.

This position is responsible for building and maintaining production identification and stratification workflows that run on a recurring cadence (daily, weekly, monthly) to support both internal care management teams and external vendor programs. The Senior Data Scientist collaborates closely with clinical, product, and analytics partners to refine existing methodologies, develop new identification approaches, and ensure alignment with evolving business and care delivery goals.

The ideal candidate brings a strong healthcare background—such as population health or epidemiology—with deep expertise in statistical analysis, experience working with care management or utilization management concepts, and a collaborative, problem‑solving mindset.

Your Responsibilities
  • Take lead on data science projects to design and implement models and experiments from end to end, including data ingestion and preparation, feature engineering, analysis and modeling, model deployment, performance tracking and documentation.
  • Lead‑by‑example junior data scientists around mature data science practices e.g., readable code, thorough documentation, comprehensive experimentation.
  • Work with business partners to convert ambiguous business problems in clear data science/ML specifications. Use contextual business acumen to convert model predictions/results into impactful insights and provide actionable guidance on risks and limitations.
  • Drive conversations with product managers, data engineers, and subject matter experts to ship new models, algorithms and improvements continuously and collaboratively into production.
  • Use combination of machine learning knowledge and contextual business acumen to convert results into impactful insights and provide actionable guidance on risks and limitations of model.
  • Write narrative documents for model specification and performance analysis to communicate findings and recommendations to teammates, stakeholders and executive leadership.
Required Skills and Experience
  • 5+ years of related professional experience. All relevant experience including work, education, transferable skills, and military experience will be considered.
  • Hands‑on experience in analytics and data science (specific areas of interest include classification/regression, unsupervised learning, time‑series/sequence models, NLP, explainability methods, deep learning).
  • Solid demonstrable proficiency in data science tools such as Python, R, Spark, SQL.
  • Experience implementing predictive algorithms and associated statistical analysis/inference in a data science/ML workflow manipulating both structured and unstructured data.
  • Experience crafting and communicating highly technical results to a diverse audience.
  • Comfortable working as part of a team and taking the lead.
  • High school diploma (or equivalency) and legal authorization to work in the U.S.
Preferred Skills and Experience
  • Bachelor's degree.
  • Experience with health care data.
  • Experience with AWS tools.
  • Experience with version control (for example Git Version Control system).
  • Proficiency with Data Bricks or similar tools.
Role Designation

Hybrid

Anchored in Connection

Our hybrid approach is designed to balance flexibility with meaningful in‑person connection and collaboration. We come together in the office two days each week – most teams designate at least one anchor day to ensure team interaction. These in‑person moments foster relationships, creativity, and alignment. The rest of the week you are empowered to work remote.

Compensation and Benefits

Pay Range: $90,800.00 – $120,300.00 – $149,800.00 Annual

Pay is based on several factors which vary based on position, including skills, ability, and knowledge the selected individual is bringing to the specific job.

We offer a comprehensive benefits package which may include:

  • Medical, dental, and vision insurance
  • Life insurance
  • 401k
  • Paid Time Off (PTO)
  • Volunteer Paid Time Off (VPTO)
  • And more

Please review our benefits page.

Equal Employment Opportunity Statement

At Blue Cross and Blue Shield of Minnesota, we are committed to paving the way for everyone to achieve their healthiest life. Blue Cross of Minnesota is an Equal Opportunity Employer and maintains an affirmative action plan, as required by Minnesota law applicable to state contractors. All qualified applications will receive consideration for employment without regard to, and will not be discriminated against based on any legally protected characteristic.

Individuals with a disability who need a reasonable accommodation in order to apply, please contact us at: talent.acquisition@bluecrossmn.com.

Blue Cross and Blue Shield of Minnesota and Blue Plus are nonprofit independent licensees of the Blue Cross and Blue Shield Association.

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