*This is a contingent opportunity Data Analyst K2 Group is seeking a Data Analyst in support of Headquarters, Installation Management Command (IMCOM) Provost Marshal/Protection Support Services (PM/PSS). IMCOM PM/PSS is…
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.
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Open data analyst roles
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At Houston Methodist, the Data Analyst position is responsible for the provision of analytical support of data generated by the department. This position will assist in creating, designing and implementing processes to e…
Job Description Job Description As a Lead Solutions Analyst at JPMorganChase within the Corporate Technology, you review business... ...-structured and technically feasible solutions. You will make data- informed decisio…
alumni. Job Description JOB DESCRIPTION : KIPP Texas is currently seeking a smart, motivated and experienced data analyst to bring strong problem-solving and analytical skills to a leading charter management organization…
Job Description Job Description Role: The Data Analyst aggregates data into decision-ready insights for leadership and executives enabling well-informed business decisions. Working within the Data Operations Department,…
Job Description: We are looking for early-career Data Analytics / Data Science professionals who are passionate about working with data and deriving meaningful insights. Candidates with internship experience, academic pr…
control packages for many of America's top corporations in the data center, chemical, food & beverage, pulp & paper, material handling... .... Job Summary: The Business Intelligence Data Analyst owns enterprise reporting…
Data Analyst I Business Intelligence & Strategy | Hays Electrical Services | Houston, TX | On-Site Position Summary The Data Analyst I is an entry-level position within the Business Intelligence & Strategy department at…
Job Description Job Description Description: Job Title: Continuous Improvement Data Analyst Key Responsibilities Partner with business stakeholders to scope initiatives, gather requirements, and define actionable data so…
Job Description Job Description Job Title: Professional - Data Analyst V(Senior Data Governance Specialist) Location: Houston Downtown, TX Working type: Hybrid; Monday-Thursday in person; Fridays remote Duration: 12 mont…
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…
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…
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.
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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