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…
Engineering & IT · Austin, TX
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.
456
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$28–$68/hr
Typical pay range
$97k
Median, full-time
11
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Open data analyst roles
12 shown of 456 · sorted by freshness
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…
actionable understanding of the consumer.The Consumer Insights Analyst is an individual contributor who supports work across three key... ...DoAnalysis & Insights GenerationPull, organize, and quality‑check data from a r…
Let’s see what we can achieve. Together.SummaryThe Senior Market Analyst - Global Private Markets, working in collaboration with and in... ...positioning, and emerging opportunities. By synthesizing quantitative data, qu…
$31.79 - $50.19 per hour
What this Job Entails: The primary focus of the PCM Analyst will be on providing modeling, data analytics and pricing support to enable agile and effective decision making at some of our largest clients as well as around…
Own and execute end-to-end data preparation, analytical modeling, and metric validation for regular reports, and translate complex operational... ...to see the impact of your recommendations. As a Business Data Analyst,…
$134k - $180k
Req ID:388878NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.We are cu…
dashboards and reporting tools.Develop and maintain robust, scalable data models and automated Extract, Transform, and Load (ETL)... ...across design, power, space, and fleet-wide demand planning.As a BI Analyst, you del…
implementing database schemas, including tables, indexes, views, stored procedures, and triggers to meet business requirements and ensure data integrity.Data Modeling: Creating data models that represent the structure of…
Job-ID29336442Reference26-26524Will work in Westlake 4 days per week - Omaha is a backup - Data Analyst/ BSA - Team works on a daily report send- Finance reporting and working with Development teams - Interview- 2 rounds…
Job Overview Position Summary The Data Analyst will gather, analyze, and interpret data to help improve operational efficiency, reporting accuracy, and strategic planning. This role requires strong analytical skills, att…
We are seeking an experienced Healthcare Interoperability Consultant with deep expertise in healthcare data exchange, clinical data standards, and interoperability solutions. The ideal candidate will have strong hands-on…
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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.
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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
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Data Analyst
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Senior Data Analyst
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Analytics Manager
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