Data Analytics Engineer Jobs in Minnesota
Data Analytics Engineer jobs in Minnesota are concentrated in the Twin Cities metro, with additional demand in Rochester and Duluth, where employers like Target, UnitedHealth Group, and Mayo Clinic maintain large data and technology practices. The role draws heavily on cloud pipeline engineering, dbt and Spark transformations, and healthcare analytics given Minnesota's outsized presence in both retail and medical sectors. Openings range from mid-level analysts stepping into engineering tracks to senior architects owning enterprise data platforms. Scan the live roles below and apply to whichever ones fit.
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Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves. Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.
About us:
Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.
Marketing Analytics is a strategic partner to Target's Marketing organization, delivering trusted insights that influence enterprise decisions and create meaningful guest experiences. The Loyalty Analytics team sits at the intersection of customer behavior, marketing strategy, personalization, and business performance. We partner with Loyalty, Marketing, Product, Finance, and Technology to measure performance, uncover growth opportunities, and shape strategies that strengthen guest engagement and drive profitable growth.
As a Sr Data Analyst, this role is an exciting opportunity for a curious and collaborative analyst who is energized by connecting with stakeholders, simplifying complexity, and shaping strategy through insights. While a foundational understanding of technical tools is expected, the heart of this role lies in storytelling—helping the business understand what’s happening, why it matters, and what we should do next.
You’ll sit at the intersection of data and strategy, serving as a trusted advisor and insight translator across teams. Your analysis won’t just inform; it will inspire decisions that drive the business forward.
Some of what you will do includes:
- Explore and interpret data to uncover the story behind business performance—what happened, why it matters, and what comes next.
- Conduct ad hoc and deep-dive analyses that identify new opportunities, answer strategic questions, and support decision-making.
- Work closely with marketing and other cross-functional partners to understand business needs and translate insight from guest performance data into data-driven strategies.
- Develop intuitive, action-oriented dashboards and visualizations that highlight key takeaways—not just numbers.
- Lead storytelling sessions and presentations with key leaders and stakeholders, communicating insights clearly and effectively.
- Build strong relationships across the business to stay plugged into evolving priorities and ensure analytics stay relevant and impactful.
About you:
- Four-year degree or equivalent experience
- 3+ years as a Data Analyst with strong academic performance in a quantitative field; or strong equivalent experience; with a demonstrated focus on storytelling, stakeholder communication, and business strategy.
- Proven ability to distill complex data into clear, persuasive narratives
- Deep curiosity about guest behavior, business trends, and how data connects the two
- Experience with data visualization tools such as Tableau or Power BI to create dashboards and visually communicate insights
- Advanced SQL experience writing complex queries
- Intermediately accomplished with Python or R
This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target’s needs. A Hybrid/Flex for Your Day work arrangement means the team member’s core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.
Benefits Eligibility
Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_DAmericans with Disabilities Act (ADA)
In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
See All 16 Data Analytics Engineer Jobs in Minnesota
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Where Minnesota roles are concentrated, by current openings.
Data Analytics Engineer Job Market in Minnesota
A snapshot from current Minnesota openings, updated as new roles post.
Who's Hiring



What Minnesota Employers Look For
The qualifications that appear most often in data analytics engineer jobs across Minnesota.
- Bachelor's degree in computer science, information systems, or a related analytical field
- Proficiency in SQL and at least one scripting language such as Python or Scala
- Experience building and maintaining data pipelines using tools like dbt, Airflow, or Spark
- Hands-on work with cloud data platforms such as Snowflake, Azure Synapse, or AWS Redshift
- Familiarity with data modeling concepts including dimensional modeling and medallion architecture
- Strong communication skills to translate data requirements between engineering and business teams
Data Analytics Engineer Jobs in Minnesota: Frequently Asked Questions
How do you become a data analytics engineer in Minnesota?
Data analytics engineering in Minnesota has no state-issued license, so the path runs through education and demonstrated technical skills. Most roles require at least a bachelor's degree in computer science, data science, statistics, or a related field. Minnesota employers, particularly in healthcare and retail, respond well to candidates who have built portfolio projects using SQL, Python, and cloud warehousing tools. Certifications from Snowflake, dbt Labs, or major cloud providers help candidates stand out in the Twin Cities market.
How much do data analytics engineers make in Minnesota?
Data analytics engineers in Minnesota earn a median of about $128,800 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $65,730 for the lowest 10% to over $179,640 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data analytics engineers in Minnesota?
Companies currently hiring data analytics engineers in Minnesota include Target, Baxter, and Evereve, per current listings on Migrate Mate as of November 2026. Minnesota's concentration of Fortune 500 headquarters and major healthcare systems means demand is consistent across both corporate technology teams and clinical data organizations.
Which Minnesota cities have the most data analytics engineer jobs?
Minneapolis, Minnesota, and Edina account for the largest share of data analytics engineer openings in Minnesota. The Twin Cities metro drives the bulk of demand given the headquarters density of companies like Target, Best Buy, and UnitedHealth Group, while Rochester's openings are largely tied to Mayo Clinic's expansive data and research infrastructure.
Are there remote data analytics engineer jobs in Minnesota?
Yes, and more than most fields. About 100% of data analytics engineer openings tied to Minnesota are remote or hybrid as of November 2026, reflecting how well the role's core work translates to distributed environments. Pipeline development, data modeling, and cloud warehouse administration are the functions most commonly offered fully remote by Minnesota employers.
How can I get hired as a data analytics engineer in Minnesota with little or no experience?
The most realistic entry path is moving laterally from a data analyst or business intelligence role into engineering work, which large Minnesota employers like Target and UnitedHealth Group support through internal rotation programs and associate data engineering tracks. Building a portfolio with public dbt or Airflow projects and earning a Snowflake or cloud-provider certification gives candidates a concrete edge. University of Minnesota graduates also benefit from strong alumni networks within Twin Cities technology and healthcare teams.
Where can I find and apply to data analytics engineer jobs in Minnesota?
You can find and apply to data analytics engineer jobs in Minnesota on Migrate Mate, which lists current Minnesota openings. Search the roles that match your experience and specialization, then apply directly to the ones that fit.
See All 16 Data Analytics Engineer Jobs in Minnesota
Find roles in Minnesota that match your experience and apply in just a few clicks.
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