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Data Analytics Jobs in Oklahoma (NOW HIRING)

ICAP Columbia University

Data Analytics and Visualization Specialist Apply now Job no: 492311 Work type: Regular Full-Time Location: USA (non-CU jobs) Categories: Strategic Information/Surveillance/Monitoring & Evaluation ...

Credit Agricole CIB

$125K - $150K/yr

As a Compliance Models, Data & Innovation Specialist, you will play a crucial role in transforming compliance risk monitoring through advanced analytics, streamlined reporting, and process automation.

Dental Depot

Data Analyst

Oklahoma City, OK · On-site

Experience: 2+ years of experience in data analytics, reporting, or related technical roles (internships, academic projects, or hands-on experience acceptable). Experience working with structured ...

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How much do data analytics jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for data analytics in Oklahoma is $50.55, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $57.26 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

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 are popular job titles related to Data Analytics jobs in Oklahoma?

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

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

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

What cities in Oklahoma are hiring for Data Analytics jobs?

Cities in Oklahoma with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics 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 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $105,143 per year, or $50.5 per hour.

Data Analytics and Visualization Specialist

ICAP Columbia University

Full-time

Re-posted 16 days ago

Job description

Data Analytics and Visualization Specialist

Apply now Job no: 492311
Work type: Regular Full-Time
Location: USA (non-CU jobs)
Categories: Strategic Information/Surveillance/Monitoring & Evaluation

ICAP at Columbia University, a global health leader situated within the Columbia University Mailman School of Public Health in New York City, seeks highly qualified candidates to serve as Data Analytics and Visualization Specialist in New York. The incumbent will be responsible for designing and implementing a strategic vision for electronic systems to analyze, report, visualize, and disseminate program data. S/he will work closely with the Project Director and project team to implement innovative data visualization tools tailored to country-specific needs under the proposed project.

ICAP seeks highly qualified and experienced candidates to fill the Data Analytics and Visualization Specialist position by December 15, 2019. The successful candidate will hold an advanced degree in public health, demography, statistics, computer science, information management, or related discipline and will have a minimum of seven (7) years of experience managing and analyzing large databases in resource-limited settings, as well as experience with advanced statistical analysis.

The incumbent will have demonstrated experience working with SQL, HTML, Java Framework and tools, Microsoft Office Applications, PHP and database-driven website development, as well as experience with PowerBi or Tableau. S/he will have experience in the design, implementation, and management of health monitoring and evaluation systems in low-resource contexts.

To review a detailed position description, please click the following link:  Data Analytics and Visualization Specialist.pdf

The position is contingent upon availability of grant funding. Columbia University is an equal opportunity and affirmative action employer. It does not discriminate against employees or applicants for employment on the basis of race, color, sex, gender, religion, creed, national and ethnic origin, age, citizenship, status as a perceived or actual victim of domestic violence, disability, marital status, sexual orientation, status as a Vietnam era or disabled veteran, or any other legally protected status.

Advertised: 01 Nov 2019 Eastern Daylight Time
Applications close:

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