battery test, RF & microwave and fiber optics to robotics & motion, instrumentation, control systems, and data management. Job Description Data Analyst Role Summary As a Data Analyst, you will support business decision-m…
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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Salary: $115,000 - 115,000 per year Requirements: Previous experience in data analysis, reporting, business intelligence, or a related field is preferred. Familiarity with data analysis techniques and reporting tools. Ab…
A health technology company is seeking an Analyst for their Enterprise Solutions team. The role focuses on leveraging their Enterprise... ...Analyst role, strong SQL skills, and the ability to manage complex data. This i…
A data and process management organization is seeking a Remote Data and Business Process Analyst to analyze and correct internal data issues and build process visualizations. The ideal candidate will have 1-4 years of ex…
Remote Data and Business Process Analyst About the job Remote Data and Business Process Analyst Overview Analyze and correct internal data issues, while also building process and data visualizations to manage the integri…
A dynamic organization is seeking an entry-level Virtual Data Analyst to join their team. This remote position involves analyzing large datasets and developing insights to drive business outcomes. Ideal candidates will h…
Job Description Job Description Job Title: Data Analyst and Aftercare Coordinator FLSA Status : Full Time - non-exempt Reports to: Program Director Schedule: 8:30 – 5:00 PM Supervises: N/A Rate of Pay : $30.00-$31.25 hou…
strategic customer-centric initiatives through digitally native, data- empowered solutions. Our client’s confidence in us is centered... ...that success. Overview We are seeking an experienced Data Analyst who will lever…
We are looking for an experienced Data Engineer Consultant to join our team. The ideal candidate will possess strong SQL development... ...improvements. Work closely with client teams, data scientists, analysts, and othe…
Description: Hybrid 4 days onsite, 1 remote. in Greenwood Village, CO Our client seeks a Product/ Data Analyst to enable data-informed decisions and real-time health monitoring for WiFi products and services. The role wi…
Job Description Job Description Data Analyst (SQL & Power BI) – Government Project Location: West Denver Area, CO Position Type: Onsite / Project Based - Please Note: This is a 100% in-person, onsite role in the Greater…
Duties and Responsibilities Candidates must be willing to participate in at least one in-person interview. The Payments Data Analyst addresses critical operational challenges by monitoring and optimizing the performance…
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
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