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Data Analyst Jobs in Tulsa, OK (NOW HIRING)

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Data Strategy & Governance -Director

Tulsa, OK ยท On-site

$155K - $410K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Company Description Atria Group LLC Experience The SAP BW Analyst may have skills for: * At least three years of hands on experience building and maintaining SAP BW 7.3, 7.0 and 3.5 data structures.

The role leads teams responsible for business analysis, project management, master data, and analytics, ensuring technology investments align with business objectives, are properly prioritized ...

The role leads teams responsible for business analysis, project management, master data, and analytics, ensuring technology investments align with business objectives, are properly prioritized ...

Showing results 21-38

Data Analyst information

See Tulsa, OK salary details

$31K

$75.4K

$124.2K

How much do data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data analyst in Tulsa, OK is $75,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,100.00 and $88,500.00 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.

What are the most commonly searched types of Data Analyst jobs in Tulsa, OK?

The most popular types of Data Analyst jobs in Tulsa, OK are:

What are popular job titles related to Data Analyst jobs in Tulsa, OK?

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

What cities near Tulsa, OK are hiring for Data Analyst jobs?

Cities near Tulsa, OK with the most Data Analyst job openings:

Infographic showing various Data Analyst job openings in Tulsa, OK as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 100% In-person job distribution, with an average salary of $75,439 per year, or $36.3 per hour.

Business Intelligence - Health Data Analyst 133-2012

CommunityCare

Tulsa, OK โ€ข On-site

Full-time

Re-posted 26 days ago


Job description

JOB SUMMARY:
The Analyst provides analytical support for all departments, including analysis, pricing, capitation, network and provider specific reporting. Analytical support includes creating and executing beginner and intermediate level reports and programs and programming modifications to previously written reports. The Analyst will collaborate with key stakeholders and determine the needed result including any special specifications. The Analyst will work with several databases to pull and integrate data, statistical analysis and data modeling.
KEY RESPONSIBILITIES:
  • Execute, write, test, validate, analyze and distribute reports. Determine appropriate approach and tools needed to complete project in an efficient and timely manner. Collaborate with key stakeholders and senior analysts.
  • Determine, write and present report results with key findings and trends to appropriate stakeholders.
  • Complete multiple concurrent ad-hoc analyses, provide corresponding reports based on customer specifications, determine and communicate analytical conclusions and recommendations.
  • Develop beginner to intermediate level reports and ad-hoc analysis based on specifications outlined by department management. Automate such reports and ensure that they are performed and delivered on schedule.
  • Perform tasks related to maintenance of Departmental Data Warehouse and its documentation.
  • Perform other job-related duties as assigned.

QUALIFICATIONS:
  • Ability to apply advanced mathematical and statistical techniques and principles into the analysis of health-related data.
  • Possess strong oral and written communication skills with the ability to communicate results in a clear and concise manner.
  • Ability to converse and write fluently in English.
  • Successful completion of Health Care Sanctions background check.
  • Proficient in Microsoft Office applications.

EDUCATION/EXPERIENCE:
  • Bachelor's degree Required. Mathematics, Statistics, Economics, Actuarial Science or other quantitative discipline preferred.
  • Demonstrated use of analytical software. SAS or SQL preferred.
  • Experience in Power BI, Tableau or similar software preferred.1-2 years of related experience preferred.

CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin