Celebrated as one of Minnesota’s Top Workplaces! Knutson Construction is accepting applications for a Senior Data Analyst to join our team in Minneapolis, MN. “Together We Make Dreams Real” – that is our purpose as a com…
Data Analyst jobs in Minneapolis, MN
Data analysts answer business questions with data — writing SQL, building dashboards, and turning metrics into clear recommendations for teams that need to make a call.
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Open data analyst roles
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critical infrastructure that supports the digital age and shapes the spaces where people work, connect, and thrive. From high-performance data centers driving the future of AI to dynamic commercial environments, your wor…
customers that is indicative of potential illicit activity. The candidate will receive direction from their manager and other senior analysts, while also working independently on their designated subject matter.Key respo…
We are looking for a Marketing AI Analyst to join a retail organization on a Contract basis in Bloomington, Minnesota. This position focuses on turning marketing and customer data into actionable insights through AI-driv…
provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients worldwide. Position: Data Analyst 3 Location: Minneapolis, MN, 55420 Duration: 12 Months Job Type: Temporary Assignment…
Managing Director, Data Engineering & AIWho You'll Work WithAs a Managing Director in Slalom's Data & AI practice, you will lead the growth of our Data Engineering & AI business by helping clients modernize their data fo…
leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global de…
Job-ID29238416Reference26-25469Seeking a Principal Microsoft Data & AI Engineer who combines advanced SQL and Microsoft Fabric expertise... ...robust technical solutions while also understanding how analysts and senior e…
DescriptionKforce has a client that is seeking a hybrid Senior Data Engineer to join their growing team in Minneapolis, MN. This team is focused on the -ethics, compliance, HR and legal- data aspect of the client and in…
Job-ID29243841Reference26-25548 JOB DESCRIPTION 1. Explain what the scope of the work/project is? Project Overview, deliverables (what is this person responsible for). The contractor(s) will provide subject matter expert…
Job-ID29338947Reference26-26568Required Qualifications • Strong SQL and data analysis skills. • Experience working with large-scale data warehouses and analytics platforms. • Experience with GCP data environments, includ…
Title : Data Management Analyst Location : Minneapolis, MN Job Type : Contract (12 Months) Compensation : $63.91 - $82.70/hr Industry: Retail --- About the Role Our client, a leading enterprise retailer with a large and…
What data analysts earn in Minneapolis
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $27–$39 | $56k–$82k |
| Mid level | $39–$51 | $82k–$107k |
| Senior | $49–$66 | $102k–$138k |
Adjusted for the Minneapolis market from national ranges.
What employers ask for
The skills these listings keep naming
Interview questions worth rehearsing
With the thing the interviewer is actually listening for
A metric dropped 15% week over week. How do you investigate?
Segment first — by platform, region, source — and check for data issues before assuming a real change. A methodical decomposition is exactly what they want.
Walk me through a dashboard or report you built that people actually used.
Focus on the decision it supported and how you designed for the audience. Adoption is the success metric, not chart count.
How comfortable are you with SQL? Describe a complex query you wrote.
Mention joins, window functions, or CTEs in the context of a real question. Expect a live exercise, so pick an example you can reconstruct.
A stakeholder wants data that supports a conclusion they already hold. What do you do?
Show that you present what the data says, frame caveats respectfully, and stay useful without becoming a rubber stamp.
How do you check whether your analysis is correct before sharing it?
Talk about sanity checks against known totals, replicating with a second method, and having someone review the logic. Self-QA habits separate reliable analysts.
Correlation versus causation — give a business example where it matters.
Use a concrete case, like ice cream and sunburn or a marketing example, and mention what would move you toward causal confidence, such as an experiment.
Resume tips that move the needle
For data analysts specifically — generic advice costs you here
Tie each analysis to the decision or dollar outcome it drove — 'identified churn segment worth $400K in retained revenue' is the format that works.
List SQL first and honestly grade your level; it is the single most tested skill for this role.
Name the BI tools you have shipped dashboards in, and how many people relied on them.
Show domain context (e-commerce, SaaS, healthcare) because analysts are hired into a business, not just a toolset.
A small portfolio of public analyses with clear write-ups can offset limited job experience.
Where this role goes
Typical progression
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