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Engineering & IT · Dallas, TX
Data Analyst jobs in Dallas, 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.
722
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$26–$65/hr
Typical pay range
$92k
Median, full-time
11
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01
Open data analyst roles
12 shown of 722 · sorted by freshness
Job-ID29140640Reference26-23915Remote50% RemoteData Management EEO: “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Vet…
Consulting business solutions. Strategically engage with client personnel. Required Qualifications: 7+ years of Business Systems Data or Business Systems Design experience, or equivalent demonstrated through one or…
$96.4k - $144.6k
tools like Postman or Swagger to validate backend services.Perform database validation by writing and executing SQL queries to ensure data integrity.Participate in code reviews of test automation scripts to ensure adhere…
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…
$132.1k - $178.8k
Are you passionate about standardizing data platforms and automating data engineering to drive analytics and reporting? Do you excel in dynamic, fast-paced environments and find joy in converting data into actionable ins…
communication and information flow between business and technology teams. Required Qualifications: 5+ years of Business Systems Data and Business Systems Designing experience, or equivalent demonstrated through one…
to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at Are:A seasoned SAP data migration leader who thinks in blueprints and delivers at scale. You have the archit…
Data Warehouse Business Analyst At ABeam Consulting, you will be a part of the next digital revolution. ABeam's success is created from the contributions of each of our valued employees. At ABeam, you are not just a numb…
NAVA Software is looking for a Sr Data Analyst Details: Sr Data Analyst Location: TX - 4 days/week onsite Duration: 6-12 months Description: Primary responsibilities of the Senior Data Analyst include supporting and anal…
Title:- Data Architect / Data Engineering Consultant 100%Onsite Location- Irving, TX. Required Qualifications 12-15 years in data architecture, data engineering, or enterprise architecture. 7 or more Hands-on development…
07 - Analyst, Product Data Req ID: 139082 Hiring Manager: Martha Hernandez Macias Band: 07 Region: Americas Country: USA State/Province: Texas City: Richardson General Overview Functional Area: Supply Chain Management (S…
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What data analysts earn in Dallas
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $26–$38 | $55k–$80k |
| Mid level | $38–$50 | $80k–$105k |
| Senior | $48–$65 | $100k–$135k |
National ranges — pay in Dallas typically tracks these.
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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
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Analytics Manager
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