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…
Engineering & IT · Omaha, NE
Data Analyst jobs in Omaha, NE
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.
126
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$25–$60/hr
Typical pay range
$85k
Median, full-time
10
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01
Open data analyst roles
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Read further to learn how you could help make great things possible not only in your community, but around the world. In the role of Data Engineer II, we'll count on you to:Build and maintain batch and streaming ingestio…
$71.3k - $140.6k
clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work you'll do As a PROJECT - Data Engineer II on the AI & Data team, you will be responsible for… Designing, de…
Create curated marts and semantic structures that promote reuse and consistent interpretation.Partner with analysts to translate business questions into durable data models.Implement models using layered patterns (raw/co…
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…
University is seeking a dedicated and experienced Senior Benefits Analyst to join our Human Resources team. This Senior Benefits Analyst... ...Support and Administration:Support leadership by gathering plan data, analyzi…
multidisciplinary teams also include scientists, economists, builders, analysts and artists. That's why we believe diversity is our greatest... ...where people work, connect, and thrive. From high-performance data center…
to learn how you could help make great things possible not only in your community, but around the world. HDR is currently seeking a Data Center Project Manager to join one of the largest, fastest growing, and comprehensi…
DescriptionAt HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas t…
DescriptionAt HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas t…
we’re involved. If you want to make an impact on a global scale, come make a difference at Fiserv. Job Title Client Service Analyst About your role: As a successful Client Service Analyst, you will have an experience usi…
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What data analysts earn in Omaha
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $25–$36 | $51k–$74k |
| Mid level | $36–$47 | $74k–$97k |
| Senior | $44–$60 | $92k–$124k |
Adjusted for the Omaha 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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