Engineering & IT · Oklahoma City, OK

Data Analyst jobs in Oklahoma City, OK

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.

145
Open roles today
$24–$58/hr
Typical pay range
$82k
Median, full-time
2
Fresh in this list

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01

Open data analyst roles

11 shown of 145 · sorted by freshness

Business Intelligence Analyst II

Loves Travel Stops & Country Store · Oklahoma City, OK

Req ID: 487988 Welcome to Love's! Our FP&A Department is seeking a Business Intelligence Analyst who will analyze data and create impactful visuals to support strategic decision-making. By integrating multiple data sourc…

Posted yesterday
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Business Analyst

Gainwell Technologies LLC · Oklahoma City, OK
$51.9k - $74.2k

build your skills and capabilities. Summary As a Business Analyst at Gainwell, you can contribute your skills as we harness the... ...and their expected impact by building basic conceptual data and process models Create,…

Posted 1w ago
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Master Data Analyst

Continental Resources · Oklahoma City, OK · Full-time

Job Summary The Master Data Analyst specializes in the development and implementation of data automation to improve business efficiency and has an extensive working knowledge across all areas of SAP master data managemen…

Posted 1w ago
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Data Engineer

Life.Church · Edmond, OK

Job Description Job Description The YouVersion Data Engineer will develop and build data pipelines and ETL (Extract, Transform, Load) that lead to increased engagement and growth through the Bible App across the globe. T…

Posted 1w ago
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Data Engineer II

Loves Travel Stops & Country Store · Oklahoma City, OK

Competitive Pay * Career Development * Welcome to Love's: The Data Engineer II designs, builds, and supports scalable data... ...Technology teams, business stakeholders, data scientists, data analysts, vendors, and other…

Posted 1w ago
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Business Intelligence Analyst

Loves Travel Stops & Country Store · Oklahoma City, OK

Development * Welcome to Love's: The Business Intelligence Analyst supports Customer Marketing, Loyalty, and Mobile App teams by... ...crafting meaningful visuals, monitoring performance, and enabling data- driven decisi…

Posted 2w ago
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Data Engineer

Addison Group · Oklahoma City, OK · Full-time

Data Engineer Location: Onsite in OKC – 5 days/week Employment Type: Direct Hire Work Authorization: Must be authorized to work in the U.S. now and in the future without sponsorship We’re partnering with a client on a di…

Posted 1mo ago
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Business Analyst

Rattan Consulting, Inc. · Oklahoma City, OK

Business Analyst Position Summary: Rattan Consulting is looking for a full-time Business Analyst (BA) with experience in technical projects. The position will be responsible for the analysis of a variety of technical ser…

Posted 2mo ago
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Senior Technical Business Analyst (Tableau)

Addison Group · Oklahoma City, OK
$90k - $100k

Job Description Job Description Role: Senior Technical Business Analyst (Tableau) Location: Oklahoma City or Tulsa – Onsite Position... ...organization Strategic role focused on business analysis, enterprise data strateg…

Posted 2mo ago
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Workforce Data Analyst

Loves Travel Stops & Country Store · Oklahoma City, OK

s: Love’s is seeking a highly analytical and strategic Workforce Analyst to join our Workforce Management team. This role is ideal for someone who thrives at the intersection of HR, Operations and data, and who can turn…

Posted 3mo ago
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Data Analyst

Red Rock Behavioral Health Services · Oklahoma City, OK

Job Description Job Description SUMMARY The Data Analyst is responsible for transforming operational and financial data into accurate, reliable, and actionable insights to support executive decision-making and organizati…

Posted 4mo ago
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02

What data analysts earn in Oklahoma City

Hourly first — that's how the offer arrives

ExperienceHourlyAnnual, full-time
Entry level $24–$34 $49k–$71k
Mid level $34–$45 $71k–$93k
Senior $43–$58 $89k–$120k

Adjusted for the Oklahoma City market from national ranges.

03

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.

05

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.

02

List SQL first and honestly grade your level; it is the single most tested skill for this role.

03

Name the BI tools you have shipped dashboards in, and how many people relied on them.

04

Show domain context (e-commerce, SaaS, healthcare) because analysts are hired into a business, not just a toolset.

05

A small portfolio of public analyses with clear write-ups can offset limited job experience.

06

Where this role goes

Typical progression

01 Junior Data Analyst
02 Data Analyst
03 Senior Data Analyst
04 Analytics Manager
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