Coalition is seeking a Senior Data Analyst to lead analytics for GTM and servicing, building a unified Customer 360 view across marketing, sales, product, and operations. You will connect data sources to reveal how broke…
Data Analyst jobs in Austin, TX
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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groundbreaking technologies we develop will have a real-world impact. Job Overview We are looking for a detail-oriented Data Analyst to support our rapidly growing Supply Chain organization by transforming data into acti…
Job Title: - IT Data Analyst 5 Location: - Austin, TX (Hybrid) Duration: - Long Term Contract (W2) Education: Bachelor's Degree in a related field Years of experience: 8 - 10+ years of experience Understand data and brid…
Who Are We Looking For? Vestwell is expanding and we're keen to add an amazing Product Manager to our team who's passionate about data— we're talking everything from pipelines to automation to AI. We're looking for someo…
Business Data Analyst Austin, Texas (Hybrid – 3 Days Onsite | 2 Days Remote) Experience: Minimum 12+ Years Mandatory Requirements ✔ Minimum 4+ years of recent hands-on experience with Texas HHSC ✔ Direct experience on th…
to our talent pool—so when the right opportunity opens up, you'll be first in line. The Media Analyst is methodical and curious and passionate about transforming data into insight and insight into action. If your brain i…
Job Description Job Description Working Title: Systems Analyst 3 Title/Level: Systems Analyst 3 Category: Applications/Software... ...Development Full Time I. DESCRIPTION OF SERVICES Seeking a Senior Data Analyst with ex…
accelerate growth. Join us in tackling exciting challenges at the intersection of healthcare and technology. We are looking for a Data Analyst who thinks like a scientist. You won't just be building dashboards; you will…
Senior Data Analyst (Integrated Eligibility Systems): Total Required Experience in Years: 14%2B Years Mode of Work: Hybrid (Candidates must reside within a 50-mile radius of Austin, TX) The Senior Data Analyst will suppo…
responsibilities are threefold: collecting and disseminating water-related data; assisting with regional water supply and flood planning that... .... Provides guidance and knowledge sharing to junior team data analysts o…
Market Research Analyst Location : Austin, TX (Hybrid. In office Monday, Wednesday, and Friday) Role Type: Part-Time / Internship... ...on a part-time or internship basis. This is not a passive data- entry role. You will…
Job Description Job Description Description: AMBA is seeking a talented Data Analyst to join our growing Information Technology Team! We are looking for someone with detail oriented skills who thrives in an agile, team-o…
What data analysts earn in Austin
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $28–$40 | $58k–$84k |
| Mid level | $40–$53 | $84k–$110k |
| Senior | $50–$68 | $105k–$142k |
Adjusted for the Austin 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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