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Data Analytics Associate Jobs in Oklahoma (NOW HIRING)

Airgas

Senior Financial Data Analyst

Tulsa, OK · On-site

$78K - $97K/yr

... analytics relating to each regional company in the division. The position also spearheads the ... Associates who are members of collective bargaining units should review their bargaining agreement ...

Airliquidehr

Senior Financial Data Analyst

Tulsa, OK

$78K - $97K/yr

... analytics relating to each regional company in the division. The position also spearheads the ... Associates who are members of collective bargaining units should review their bargaining agreement ...

MM International

Fleet Analyst

Tulsa, OK · On-site

$26/hr

Associate (3-5+ years preferred) Key Responsibilities: * Support fleet lifecycle operations with a ... Prepare and analyze fleet reports using Excel (pivot tables, lookups, data analysis) * Collaborate ...

The Williams Companies

SCADA Analyst III

Tulsa, OK · On-site

You will contribute to projects that expand SCADA capabilities, improve data reliability, and ... Associate's degree, a minimum of five (5) years' experience in a SCADA or HMI role and experience ...

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All JobsData Analytics Associate JobsData Analytics Associate Jobs in Oklahoma

Data Analytics Associate information

See Oklahoma salary details

$3K

$5.8K

$8.3K

How much do data analytics associate jobs pay per month?

As of Jul 20, 2026, the average monthly pay for data analytics associate in Oklahoma is $5,808.33, according to ZipRecruiter salary data. Most workers in this role earn between $5,266.67 and $6,191.67 per month, depending on experience, location, and employer.

What is an associate data analyst?

An associate data analyst is an entry-level or junior role responsible for collecting, processing, and analyzing data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under the supervision of more experienced analysts to develop their skills and understanding of data analysis processes.

What does a Data Analytics Associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

Is an Associates in data analytics worth it?

An associate's degree in data analytics can provide foundational skills in data collection, analysis, and visualization, which are valuable for entry-level roles such as Data Analytics Associate. However, many employers also value relevant certifications and practical experience, so combining the degree with hands-on projects can enhance job prospects.

What can you do with an associate's in data analytics?

A Data Analytics Associate can analyze data sets, create reports, and support decision-making processes using tools like Excel, SQL, and data visualization software. This role often involves cleaning data, identifying trends, and working with teams to improve business outcomes, typically requiring strong analytical skills and attention to detail.

How does a Data Analytics Associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

What are the key skills and qualifications needed to thrive as a Data Analytics Associate, and why are they important?

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace the need for human analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and providing context that AI tools cannot fully replicate. Skills in data visualization, statistical analysis, and understanding business needs remain critical for the role.
What are the most commonly searched types of Data Analytics jobs in Oklahoma? The most popular types of Data Analytics jobs in Oklahoma are:
What cities in Oklahoma are hiring for Data Analytics Associate jobs? Cities in Oklahoma with the most Data Analytics Associate job openings:
Data Analytics Associate jobs near you
Infographic showing various Data Analytics Associate job openings in Oklahoma as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 5% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $69,700 per year, or $33.5 per hour.
Data Engineer I (SAS)

Data Engineer I (SAS)

Oklahoma State Regents for Higher Education

Oklahoma City, OK • On-site

$57K/yr

Full-time

Posted 21 days ago

Job description

Position Details
Position Information
Position Title
Data Engineer I (SAS)
Position Number
100137
FTE
1.0
FLSA
Non-Exempt
Pay Rate
$57,290 annually, plus benefits.
Position Type
Full-Time
Posting Detail
Posting Number
337
Essential Function
This position supports the collection, processing, validation, and maintenance of institutional data to ensure accuracy, integrity, and availability for reporting and operational needs. This position assists with troubleshooting and data quality monitoring regarding data submissions and corrections.
Responsibilities and Duties
• Ensure the accurate and timely processing of institutional data using approved systems, tools, and standardized operational workflows.
• Review incoming data submissions for completeness and consistency.
• Resolve routine data quality and processing issues.
• Support troubleshooting and issue resolution for workflow disruptions and system-related exceptions.
• Collaborate with institutional partners to correct invalid, incomplete, or inconsistent data in support of reporting requirements.
• Collaborate effectively within a team environment to achieve shared departmental and organizational objectives.
• Deliver professional and proactive communication with institutional coordinators and internal stakeholders to support effective collaboration.
• Support the integrity and accuracy of data across multiple reporting platforms, systems, and databases through Visual Analytics dashboards and queries.
• Create and maintain data warehouse-related documentation to enhance operational efficiency.
• Update data warehouse-related flows.
• Update data warehouse-related Visual Analytics dashboards.
• Ensure adherence to data governance, privacy, and information security standards across assigned responsibilities.
• Perform additional duties as assigned.
Minimum Qualifications
Associate's degree in Information Technology, Computer Science, Data Analytics, Mathematics, Statistics, or related field; SAS certification; or equivalent combination of education and experience. Experience working with spreadsheets, databases, or data processing tools. Basic understanding of data validation and troubleshooting techniques. Strong organizational and communication skills. Ability to manage multiple priorities with attention to detail. Clear focus and commitment to a high level of customer service. Strong verbal and written communication skills.
Preferred Qualifications
Experience with SAS Viya 4. Experience in higher education, research, or institutional reporting environments. Familiarity with warehouse databases and reporting systems.
Supervision
The employee performs work under the supervision of the Assistant Director of Data Warehousing.
Work Hours
Agency offices are open to the public from 8 A.M. to 5 P.M. Monday through Friday. These are the normal office hours for Agency employees.
Physical Demands
Ability to remain in a stationary position for extended periods of time. Ability to operate a computer, keyboard, photocopier, telephone, calculator and other office equipment. Ability to use a computer screen and printed material, to communicate clearly, ability to lift up to 25 pounds, and to perform tasks that may require reaching, bending or stooping. Reasonable accommodations may be requested to enable individuals with disabilities to perform essential functions. Must use the proper manual handling equipment including but not limited to dollies, carts and lift team members. Duties are normally performed in an office environment with a moderate noise level.
Disclaimer
The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. The Oklahoma State Regents for Higher Education is an Equal Opportunity Employer.
Posting Date
06/29/2026
Closing Date
Open Until Filled
Yes
Special Instructions to Applicants

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