$86.6k - $144.9k
the forefront of this transformation. The NAVL Business Solutions Analyst serves as a catalyst for continuous improvement, modernization,... ...3+ years of experience in Supply Chain, Logistics Operations, Data Analytics…
Engineering & IT · Detroit, MI
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.
234
Open roles today
$25–$61/hr
Typical pay range
$86k
Median, full-time
11
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Open data analyst roles
12 shown of 234 · sorted by freshness
candidate to join our talented Team.Job Title: Onsite IAM Business AnalystLocation(s): Southfield, MI (Remote) Overview Executes data collection, analysis, dormant account identification, and validation activities for as…
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…
$65.1k - $166.2k
Racing is where our story began.In 1901, Henry Ford climbed into a car he built himself—"Sweepstakes"—and beat America's most famous driver. He wasn't a racer, but he had to win. He did. Ford Motor Company was born from…
$122k - $145k
Job Title: Salesforce - Business Analyst You are an experienced Salesforce Business Analyst with a passion for solving complex business... ...business workflows to assist in stakeholder alignment* Capture data, reporting…
experience with epoxy adhesives is considered a plus. Systematical experimentation using DOE and other statistical methods in evaluating data Determine and protect intellectual properties and support activities for paten…
brings SAP experience in FICO and MM, preferably with a financial analyst background, along with experience in Agile delivery, backlog and... ...to detail, strong analytical skills, comfort working with large data sets,…
Department PreferencesAdvanced technical abilities, including expert level Excel skillsExperience with membership reporting preferredExperience creating dashboards and pivot tables within Excel strongly preferredExperien…
Manages timely and relevant communications with internal and external partners and stakeholders. Key Accountabilities ~Performs data collection, statistical and numerical analyses in support of strategic, tactical or per…
We Are:The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their bu…
Accenture's SAP Analytics practice, you will be a member of a delivery teams and focus on client engagements centered on SAP's modern data and analytics platform — including SAP Datasphere, SAP Analytics Cloud (SAC), and…
Job Overview We are hiring a qualified candidate for a Data Analyst role in our company. You will be responsible for data mining and analysis. You will be conducting an analysis on available data and preparing a report o…
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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.
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What employers ask for
The skills these listings keep naming
SQLExcel / Google SheetsTableau, Power BI, or LookerBasic statisticsPython or R (a plus)Data cleaningDashboard designPresenting findings clearlyBusiness domain knowledge
04
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.
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Resume tips that move the needle
For data analysts specifically — generic advice costs you here
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Tie each analysis to the decision or dollar outcome it drove — 'identified churn segment worth $400K in retained revenue' is the format that works.
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List SQL first and honestly grade your level; it is the single most tested skill for this role.
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Name the BI tools you have shipped dashboards in, and how many people relied on them.
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Show domain context (e-commerce, SaaS, healthcare) because analysts are hired into a business, not just a toolset.
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A small portfolio of public analyses with clear write-ups can offset limited job experience.
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Where this role goes
Typical progression
01
Junior Data Analyst
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Data Analyst
03
Senior Data Analyst
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Analytics Manager
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