$18 - $24 per hour
Certified Parent Peer Specialist (Wraparound) Wisconsin Community Services (WCS) Join the WCS Team At WCS, our people make the difference. We’re looking for individuals who share our commitment to Respect, Justice, Integ…
Engineering & IT · Milwaukee, WI
Data Analyst jobs in Milwaukee, WI
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.
148
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$25–$62/hr
Typical pay range
$88k
Median, full-time
10
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01
Open data analyst roles
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success -- so we give you unlimited access to everything you need to create innovative new solutions on our engineering team. As a Sr. Data Engineer, you will design, build, and support scalable data solutions that enabl…
$70.32k - $105.48k
opportunities to increase efficiency and effectiveness across the Field and Enterprise Insights team. You will help the team work with data and tracking through our PowerBI, Qualtrics, and Jira platforms.What You'll DoHe…
We are looking for a Data Engineer to help shape and expand a cloud-focused data environment that supports analytics, operational reporting... ..., and operational needs.• Partner with business stakeholders, analysts, so…
We are seeking a highly experienced Senior Snowflake Data Architect with strong expertise in enterprise data architecture, analytics, data modeling, and modern cloud data platforms. The ideal candidate will have hands-on…
$132.26k - $155.6k
career. Try new things, learn new skills and discover what you excel at—all from Day One.Job DescriptionJob Duties -Responsible for big data/ analytics projects that gather and integrate large volumes of data. -Specializ…
more about Accenture's SAP practice.You Are:You have a passion for storytelling and for originating, selling and delivering SAP-based Data Management and Analytics Transformation projects that make a positive impact in y…
and resources of the fastest-growing brand in the construction industry to make it happen.Your Role on Our Team:The Senior Manager of Data Engineering leads teams that design, build, operate, and continuously improve ent…
will ripple far beyond the workplace - creating lasting change for people and the planet.What You Will Contribute:The Manager, Master Data & Governance is responsible for establishing and leading the enterprise Master Da…
Senior Snowflake Data Engineer / Architect with Cortex AI Job Summary We are seeking a Senior Snowflake Data Architect with strong hands-on experience in Snowflake, data architecture, dimensional modeling, SQL, and enter…
Establishes and implements appropriate standards and criteria for data security requirements * Design, develop, deploy and manage... ...effectively with teams The IT Cybersecurity Anayst (IT Cybersecurity Analyst, Senior…
Data Security Engineer About the Opportunity AEBS is seeking a talented cybersecurity professional to help protect sensitive data across enterprise systems and platforms. The Data Security Engineer role offers the opport…
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What data analysts earn in Milwaukee
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $25–$37 | $52k–$76k |
| Mid level | $37–$48 | $76k–$100k |
| Senior | $46–$62 | $95k–$128k |
Adjusted for the Milwaukee 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
02
Data Analyst
03
Senior Data Analyst
04
Analytics Manager
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