that impact service to our customers. Job Summary Collects data and provides support in the preparation of strategic or tactical... ...Leverages customer databases in the process. In addition, Marketing Analyst - Vendor…
Data Analyst jobs in Detroit, MI
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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Manager is a brand focused creative and brand equity intelligence provider within the Marketing Strategy Intelligence team, ensuring data- informed decision-making across product marketing (left) and marketing strategy (…
The Role The Resource Demand team is building trusted data pipelines, analytical datasets, and reporting applications that... ...downstream applications, and decision support. Partner with analysts, technical teams, and…
We're hiring on behalf of a Haystack partner! The Role Partner with stakeholders to gather, analyze, and document business and system requirements Support the implementation and continuous improvement of embedded softwar…
Job Description Job Description Job Title: Data & Reporting Analyst Location : Southfield, MI (Fully in-person) Job type : Full Time Role Summary The Data & Reporting Analyst is responsible for transforming complex opera…
Details Title: Enterprise Go-To-Market Performance and Insights Analyst Department: Transformation Reports to: Director,... ...measurement and monitoring of the GTM Blueprint, turning performance data into clear insights…
focus on more meaningful work. We focus on developing and improving data pipelines, infrastructure, architecture, and analytic tools to... ...to fuel our transformation. Working with a team of engineers, analysts, and sc…
Position Details Title: Business Analyst DCOE Department: D2C Reports to: Sr Manager Global Digital Support and Operations Location: Dearborn Job Classification: Remote FLSA Status: Exempt Job Band: Professional Job Summ…
The Role General Motors is seeking a Data Analyst to support the GPSC Logistics & Packaging organization. This role sits in the business side of logistics and containerization, where the team drives packaging strategy, s…
innovations that move and connect people to what matters This position will be posted until filled About the role The Data Analyst II is responsible for collecting, analyzing, and interpreting data to support business pe…
Sustainability Program, and Wellness Program. Position Description: We are seeking a detail-oriented and analytical Financial Data Analyst – Power Platform Specialist to join our growing team. In this role, you will serv…
disabilities in employment, its services, programs, and activities. Job Details: POSITION: Head Start, Early Head Start/GSRP Data Clerk REPORTS TO: Director Early Childhood Programs SUMMARY Responsible for providing admi…
What data analysts earn in Detroit
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $25–$36 | $51k–$74k |
| Mid level | $36–$47 | $74k–$98k |
| Senior | $45–$61 | $93k–$126k |
Adjusted for the Detroit 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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