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…
Data Analyst jobs in Denver, CO
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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dashboards in Power BI and Looker. We need a solid understanding of data lakes, data warehouses and core data concepts. We want... ...connect them with exceptional professionals for this role. This Data Analyst position…
participate in at least one in-person interview.The Enterprise Data Management Environment requires modernization and design optimization... ...issues to ensure minimal downtimeCollaborate closely with analysts and engin…
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…
build industry-leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, and AI capabilities to help our customers buil…
S. Fish and Wildlife ServiceDepartment: Department of the InteriorSub agency: Digital Services and Analytics, Branch of Geospatial Data ServicesSalary: Starting at $118,675 Per year (GS 13)Dates: Open 09/22/2026 to 10/05…
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…
build a successful career with opportunities to learn, grow, and make an impact. Join us! We are seeking an experienced Data Governance Analyst specializing in Data Use Governance to support the Global Information Securi…
Role Name: Data Analyst Work Location: Denver, CO (Onsite) Candidate should be working for Customer Denver, CO office from day one Needs a Data Analyst to enable data-driven decision making and in-time health monitoring…
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…
Hiring: W2 Candidates Only Job Description: We are seeking a Data Analyst to analyze business data, develop reports and dashboards, identify trends, and provide actionable insights to business stakeholders. Required Skil…
careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do... ...detail-oriented and intellectually curious Strategic Sourcing Data Analyst to be the…
What data analysts earn in Denver
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $29–$42 | $61k–$88k |
| Mid level | $42–$56 | $88k–$116k |
| Senior | $53–$71 | $110k–$148k |
Adjusted for the Denver 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
Applying for data analyst jobs in Denver?
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