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Data Analyst Jobs in Oklahoma (NOW HIRING)

Groendyke Transport

Data Platform Analyst

Enid, OK

Data Platform Analyst The Data Platform Analyst supports operational and financial decision-making by creating dependable datasets, metrics, and pipelines. This role works closely with teams across ...

Moore Public Schools

Data Processing Analyst

Moore, OK · On-site

... Data Processing Analyst - Technology for the 2026-2027 school year 2.17 Application Procedure This position closes at 4:00 p.m., Tuesday, August 11, 2026 , but will remain open until the position is ...

Lancesoft INC

Contract & Data Analyst (Managed Care)

Tulsa, OK · On-site

$68K - $98K/yr (+ commission)

Position Summary We are seeking a Contract & Data Analyst to support managed care contracting, reimbursement analysis, and financial modeling activities. This role will analyze healthcare contracts ...

Northmarq

Data Business Analyst

Tulsa, OK

Northmarq is seeking a Data Business Analyst with strong project management skills to support our national platform in our Tulsa, OK office. This role will lead and coordinate data integrity ...

Northmarq

Data Business Analyst

Tulsa, OK · On-site

Northmarq is seeking a Data Business Analyst with strong project management skills to support our national platform in our Tulsa, OK office. This role will lead and coordinate data integrity ...

Northmarq

Data Business Analyst

Tulsa, OK

Northmarq is seeking a Data Business Analyst with strong project management skills to support our national platform in our Tulsa, OK office. This role will lead and coordinate data integrity ...

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Showing results 21-40

All JobsData Analyst JobsData Analyst Jobs in Oklahoma

Data Analyst information

See Oklahoma salary details

$31.4K

$76.3K

$125.6K

How much do data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data analyst in Oklahoma is $76,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $89,600.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Oklahoma?

The most popular types of Data Analyst jobs in Oklahoma are:

What are popular job titles related to Data Analyst jobs in Oklahoma?

For Data Analyst jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Data Analyst jobs in Oklahoma look for?

The top searched job categories for Data Analyst jobs in Oklahoma are:

What cities in Oklahoma are hiring for Data Analyst jobs?

Cities in Oklahoma with the most Data Analyst job openings:

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $76,304 per year, or $36.7 per hour.

Senior Data Analyst - Reservoir Engineering

Continental Resources, Inc.

Oklahoma City, OK • On-site

$79K - $100K/yr

Full-time

Re-posted 11 days ago

Job description

Job Summary
The Senior Data Analyst - Reservoir Engineering is primarily responsible for executing projects to streamline processes and produce data-driven insights to support the Resource Development engineering team and other stakeholders across the organization. A successful candidate will actively seek and generate new and innovative ways to retrieve, visualize, and analyze data across a variety of operational, geologic and financial data sources.
Duties and Responsibilities
  • Collaborates with varying levels of reservoir engineers, petrotechnical professionals, financial professionals, and management to effectively gather data/reporting requirements and build complex datasets, visualizations, analytical tools, and reports.
  • Discovers and troubleshoots data issues across sources and drives issues to resolution.
  • Mentors and trains junior staff; creates training content and executes across the team, department, and company.
  • Utilizes SQL to retrieve data from systems, create integrated datasets using CTEs and/or subqueries, update data within systems, and create data tables and views in Databricks.
  • Owns, maintains and enhances business-critical Spotfire and Power BI analyses; creates new projects from scratch using data from a variety of sources across the enterprise.
  • Leverages automation and AI tools to streamline processes, automate manual workflows, and create scalable, enterprise solutions.
  • Performs data capture processes as necessary to support analytics efforts.
  • Other duties as assigned.

Skills and Competencies
  • Strong understanding of E&P operations, with in-depth knowledge of reservoir engineering concepts, geoscience data, and business development projects.
  • Problem solver capable of anticipating engineering requirements and proactively recommending solutions and data-driven insights.
  • Understands the data models of Continental's primary data sources including Aries, WellView, SiteView, ProCount, Planning Analytics, eGIS, WLM, S&P Global, and Enverus.
  • Detail oriented with ability to retrieve, organize, and synthesize large amounts of data to generate high-quality, executive-level quality presentations in an efficient manner.
  • Advanced skills with data & analytics applications.
  • Advanced knowledge of data modeling and data integration principles and techniques.
  • Advanced programming skills capable of using all available techniques.
  • Flexible and adaptable, quickly adjust to process changes and shifting priorities.

Required Qualifications
  • High School Diploma or GED.
  • Minimum of eight (8) years of experience within the oil and gas industry working as a Data Analyst, Engineering Tech, Engineering Specialist, Business Analyst, or related role.
  • Advanced experience in Aries or other Economic Evaluation software with thorough understanding of economic engine, data streams, data models.
  • Advanced skills within SQL with the ability to retrieve data from systems, create integrated datasets using CTEs and/or subqueries, update data within systems and create data tables and views within CLR's data warehouse.
  • Advanced skills in Spotfire with the ability to use, deconstruct, and enhance existing analyses and create new projects leveraging multiple data sources and data functions.
  • An acceptable pre-employment background and drug test.

Preferred Qualifications
  • Bachelor's Degree from an accredited college or university in Management Information Systems, Data Analytics, Information Science/Management, Economics, Finance, Accounting or related degree.
  • Intermediate skills developing automated workflows using UiPath, Grooper or Alteryx
  • Advanced coding skills in R or Python

Physical Requirements and Working Conditions
  • Requires prolonged sitting, some bending and stooping.
  • Occasional lifting up to 25 pounds.
  • Manual dexterity sufficient to operate a computer keyboard and calculator.

Continental Resources, Inc. provides equal employment opportunities and access for all applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information, veteran status, or any other category protected by law.

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