ZipRecruiter

Log In

1

Manager Data Analytics Engineer Jobs in Minnesota

Milliman

Data Engineer (MedInsight)

Eden Prairie, MN · On-site +1

$93K - $177K/yr

... on MedInsight analytic solutions for healthcare cost and care management. MedInsight has been ... We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data ...

New

CentraCare Health

Manager of Analytics

Saint Cloud, MN · Remote

$114K - $172K/yr

... prioritizing data & analytics work with a team of analysts and report developers, balancing ... The Manager of Analytics understands the complete data life cycle and has real-world experience ...

Entrust

Prin AI & Analytics Data Architect

Shakopee, MN · On-site

$68.25 - $87.75/hr

They are seeking a Principal AI & Analytics Data Architect to design and manage data systems ... and engineers. Qualifications : Required : • 12-15+ years in data architecture, analytics ...

New

CentraCare

Manager of Analytics

Saint Cloud, MN · On-site

$114K - $172K/yr

... prioritizing data & analytics work with a team of analysts and report developers, balancing ... The Manager of Analytics understands the complete data life cycle and has real-world experience ...

CentraCare

Manager of Analytics

Saint Cloud, MN · Remote

$114K - $172K/yr

... prioritizing data & analytics work with a team of analysts and report developers, balancing ... The Manager of Analytics understands the complete data life cycle and has real-world experience ...

Pwc

Data Strategy-Manager

Minneapolis, MN · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Andersen

PLM Process Data Analyst II Lead

Bayport, MN · On-site

$78K - $122K/yr

Bachelor's degree in Business Management, Supply Chain, Information Technology, Data Analytics, Engineering, or other related disciplines. * 3-5+ years of experience in data analysis, product data ...

next page

Showing results 1-20

All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Minnesota

Manager Data Analytics Engineer information

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

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

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
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 Manager Data Analytics Engineer jobs in Minnesota? For Manager Data Analytics Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Minnesota look for? The top searched job categories for Manager Data Analytics Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Manager Data Analytics Engineer jobs? Cities in Minnesota with the most Manager Data Analytics Engineer job openings:
Manager Data Analytics Engineer jobs near you
Infographic showing various Manager Data Analytics Engineer job openings in Minnesota as of June 2026, with employment types broken down into 56% Full Time, 42% Part Time, and 2% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.
Machine Learning Engineer- AI Data Platform (Minneapolis, MN)

Machine Learning Engineer- AI Data Platform (Minneapolis, MN)

MOBE LLC

Minneapolis, MN

$119K - $143K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

About the Organization
MOBE guides people to better health and more happiness. We help people discover connections between aspects of their lifestyle that affect health and well-being, including their medications and supplements. Behind our innovative solutions are robust data analytics, digital application, and a uniquely human philosophy. With one-to-one connection and compassion, we motivate people to transform their lives.
MOBE is a high-growth organization with a culture built on trust and collaboration and our team is our most significant asset. Supporting and empowering others is at the core of our service and is also the foundation of our culture. We value a workforce made up of people with differences who are eager to learn from each other and grow personally and professionally. We extend this approach to our partners and communities, seeking to increase understanding and expand opportunities across all groups. Go to https://www.mobeforlife.com/DEI for more about diversity, equity, and inclusion at MOBE.
Description
Company Overview
MOBE helps people discover new ways to live healthier. We are the whole-person, cross-condition solution that goes further to deliver better health and lower overall costs through evidence-based individual health guidance and pharmacist-led medication management. We empower individuals to make meaningful changes that improve their health and overall well-being. Behind our innovative solutions are robust data analytics, digital application, and a uniquely human philosophy. With one-to-one connection and compassion, we uncover opportunities, overcome challenges, and motivate people to transform their lives.
At MOBE our team is our most significant asset. We cultivate a culture grounded in curiosity, innovation, and growth. We encourage new ideas, fresh solutions, and meaningful impact. We value a workforce made up of people with differences who are eager to learn from each other and grow personally and professionally. We extend this approach to our partners and communities, seeking to increase understanding and expand opportunities across all groups.
Your role at MOBE
We are seeking a highly skilled AI Engineer to serve as a core builder of our AI Data Platform. This role sits at the intersection of machine learning engineering, data platform development, and business intelligence, with responsibility for designing and operating the infrastructure that powers AI-driven insights across the organization.
You will build intelligent data pipelines, production-grade ML systems, and AI-enabled features that translate complex data into actionable outcomes. This role is ideal for an engineer who enjoys working end-to-end from data ingestion and feature engineering to model deployment and downstream consumption in analytics and BI tools.
**Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Responsibilities:
  • Build AI-first data pipelines: Design, implement, and maintain scalable data pipelines that support model training, inference, and analytics use cases across the AI Data Platform.
  • Deploy production ML systems: Develop, deploy, and monitor machine learning models using AWS SageMaker, ensuring reliability, observability, and performance in production environments.
  • Implement Retrieval-Augmented Generation (RAG): Architect and maintain RAG-based systems that combine structured and unstructured data to power AI-driven insights and applications.
  • Operationalize ML lifecycle management: Use MLflow for experiment tracking, model versioning, and lifecycle management to support reproducibility and continuous improvement.
  • Design feature infrastructure: Build and manage feature stores (e.g., Feast, Tecton, or SageMaker Feature Store) to ensure consistent, reusable features across training and inference.
  • Orchestrate complex workflows: Create and manage Apache Airflow DAGs to orchestrate data transformations, model pipelines, and AI workflows with clear dependencies and monitoring.
  • Enable analytics consumption: Partner with BI and analytics teams to ensure ML outputs integrate cleanly with our internal BI reporting hub.
  • Translate business questions into AI solutions: Collaborate with stakeholders to convert ambiguous business problems into measurable ML- and data-driven solutions.
  • Uphold data quality and governance: Ensure AI pipelines and models adhere to data governance, security, and quality standards, particularly when handling sensitive data.
  • Collaborate cross-functionally: Work closely with Data Science, Analytics Engineering, Medical Economics, and DataOps to align AI platform capabilities with business priorities.
Position Requirements
Qualifications:
Required:
  • Five to Seven Years in the ML Engineering space.
  • Strong proficiency in Python and SQL for data processing, modeling, and pipeline development.
  • Hands-on experience building and deploying machine learning models in production, including monitoring and performance management.
  • Experience with AWS-based ML infrastructure, including SageMaker for training, deployment, and inference.
  • Practical experience designing or operating RAG systems that integrate LLMs with enterprise data sources.
  • Experience using MLflow (or equivalent) for experiment tracking, model registry, and lifecycle management.
  • Experience with Apache Airflow for orchestration of data and ML pipelines.
  • Strong foundation in data engineering concepts, including data modeling, versioning, and testing.
  • Ability to partner with Med Econ and BI teams to ensure ML outputs are interpretable, trusted, and consumable.
Preferred:
  • Experience with AWS Bedrock and/or Aider for LLM orchestration or AI-assisted development workflows.
  • Experience with dbt for transformation modeling, testing, and documentation.
  • Familiarity with feature store architectures (Feast, Tecton, SageMaker Feature Store).
  • Experience integrating ML outputs into BI tools such as Tableau, Looker, or QuickSight.
  • Experience with CI/CD pipelines, Git-based workflows, and infrastructure-as-code practices.
  • Exposure to healthcare or regulated data environments is a plus but not required.
Nice to Have:
  • Working knowledge of Docker and Kubernetes for scalable deployment of ML services.
  • Experience implementing data observability, model drift detection, or AI governance tooling.
  • Experience fine-tuning or adapting large language models for domain-specific use cases.
Values
  • People First. We show we care because we believe in the power of human connection
  • Spark Positivity. We each have the power to turn any challenge into something awesome.
  • Stay Curious. We relentlessly discover and embrace new ideas to keep moving forward.
Benefits and Compensation
We offer a comprehensive benefits package
  • Paid time off
  • Medical, dental, and vision insurance
  • Life and disability insurance
  • 401(k) with company match
  • Tuition reimbursement
  • Additional benefits available to eligible employees

The salary range for this position is $114,000-$130,000 based on experience and qualifications.
Full-Time/Part-Time
Full-Time
EOE Statement
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
Location
Minneapolis
This position is currently accepting applications.

Apply