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Engineering & IT · Houston, TX
Data Analyst jobs in Houston, 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.
814
Open roles today
$26–$63/hr
Typical pay range
$91k
Median, full-time
6
Fresh in this list
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01
Open data analyst roles
12 shown of 814 · sorted by freshness
$60k - $80k
equivalent experience may be considered. The posting also lists a bachelors degree as required. At least three years of experience in data analysis, reporting, database management, business intelligence, program evaluati…
problem solving and teamwork, Tenaris is the place for you.Marketing Analyst/ Sr Analyst - Houston, TXLOCATION: Houston - Texas - USA... ...appropriate.Collect, organize, and analyze market and business data through a st…
Managing Director, Data Engineering & AIWho You'll Work WithAs a Managing Director in Slalom's Data & AI practice, you will lead the growth of our Data Engineering & AI business by helping clients modernize their data fo…
$87.7k - $139.7k
experienced Senior High Voltage Electrical Engineer to lead the design and engineering of critical electrical infrastructure for hyperscale data centers and mission-critical facilities. This role provides technical leade…
$130k - $225k
further.OverviewEast West Bank is seeking a hands-on Senior Business Analyst to lead the design and delivery of scalable, AI-enabled business... ...banking, and digital channel workflows - spanning process, data, integra…
Data Analyst Intern Summer Internship Program Department: IT / Accounting (Rotational) Reports To: Data & Analytics Manager Location: Houston, TX, with potential travel to project sites across Texas Employment Type: Paid…
drive competitive business advantage, personal growth and, ultimately, create business success. Job Summary The Sr L48 Data Enablement Analyst is a hands-on technical role responsible for advancing trusted master data, d…
$100k - $120k
s how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. As a Data Analyst, Stewardship you will play an integral role in all operational aspects of onboarding,…
$117.3k - $179.86k
What You Can Expect We are looking for an AWS Data Engineering Advisor to build applications and accelerate delivery using Agentic AI coding. As the Data Engineering Advisor, you will report to Senior Data Architect, you…
$58k - $95.7k
Data Analyst – Entry Level Position Description Are you passionate about uncovering insights that drive smarter decisions and help organizations solve real world problems? Do you enjoy working with data, collaborating wi…
Houston has several Lighthouse Factory plants manufacturing servers and server cabinets. The company is hiring dedicated analysts to transform data into actionable insights. This role collaborates with data engineers to…
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What data analysts earn in Houston
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $26–$38 | $54k–$78k |
| Mid level | $38–$50 | $78k–$103k |
| Senior | $47–$63 | $98k–$132k |
Adjusted for the Houston 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
01
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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