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Part Time Data Analyst Jobs in Oklahoma (NOW HIRING)

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This entry-level role is ideal for an analytical professional seeking hands-on experience in ledger ... Data Verification : Investigate and resolve financial inconsistencies. * Team Collaboration : Work ...

Part-Time Phlebotomist

Tulsa, OK · On-site

$15.50 - $19.50/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Prepare all collected specimens for testing and analysis * Maintain patient and specimen ...

Part-Time Phlebotomist

Tulsa, OK

$15.50 - $19.50/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Prepare all collected specimens for testing and analysis * Maintain patient and specimen ...

Part-Time Phlebotomist

Tulsa, OK · On-site

$15.50 - $19.50/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Prepare all collected specimens for testing and analysis * Maintain patient and specimen ...

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Part Time Data Analyst information

See Oklahoma salary details

$31.4K

$76.3K

$125.6K

How much do part time data analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for part time 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 is a part time data analyst?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Are part time data analyst jobs still in demand?

Part-time data analyst jobs remain in demand as organizations seek flexible staffing options to analyze data, generate insights, and support decision-making. Skills in tools like Excel, SQL, and data visualization software are valuable, and remote or flexible schedules are increasingly common in this field.

What does a part time data analyst do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

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

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part time data analyst typically collaborate with full time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.
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 Part Time Data Analyst jobs in Oklahoma? For Part Time Data Analyst jobs in Oklahoma, the most frequently searched job titles are:
What cities in Oklahoma are hiring for Part Time Data Analyst jobs? Cities in Oklahoma with the most Part Time Data Analyst job openings:
Infographic showing various Part Time Data Analyst job openings in Oklahoma as of August 2026, with employment types broken down into 100% Part Time. Highlights an 91% In-person, 5% Hybrid, and 4% Remote job distribution, with an average salary of $76,304 per year, or $36.7 per hour.

Data/Cloud Architect II - Part-Time / On-call

ASRC Federal Holding

Norman, OK • On-site

$57.25 - $73/hr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


ASRC Federal rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

237th of 441 rated engineering


Job description

ASRC Federal is a leading government contractor furthering missions in space, public health and defense. As an Alaska Native owned corporation, our work helps secure an enduring future for our shareholders. Join our team and discover why we are a top veteran employer and Certified Great Place to Work™
ASRC Federal Advanced Research, LLC (AFAR) is seeking a Data/Cloud Architect II to support a potential contract with the National Oceanic and Atmospheric Administration (NOAA), National Weather Service (NWS) in Norman, Oklahoma.
The NWS operates a complex, interconnected enterprise of systems responsible for the collection, processing, and dissemination of weather data and forecast products. These systems range from field-deployed observation infrastructure (e.g., ASOS, radar networks, data buoys) to mission-critical processing platforms (e.g., AWIPS, MRMS) and enterprise-level data architectures. To meet evolving mission needs, enhance resilience, and leverage modern technology, the NWS requires expert, on-demand support to execute a multi-year strategy focused on cloud adoption, modernization of legacy systems, and seamless integration of new capabilities and research partner data streams.
The NWS, in partnership with other agencies, is executing the Radar Next Program to modernize the nation's weather radar infrastructure. This program involves replacing the aging Next Generation Weather Radar (NEXRAD) Weather Surveillance Radar 1988 Doppler (WSR-88D) system with a next-generation network featuring enhanced capabilities, and improved coverage and performance. Given the criticality of uninterrupted radar coverage for public safety, the transition must be seamless.
AFAR's potential partnership with NWS will provide specialized technical and engineering support to the NWS Radar Next Program Office across several key areas to ensure the successful definition, design, development, and deployment of the modernized radar system and its associated data processing and distribution infrastructure.
Work location: Onsite - Norman, OK (will consider remote)
Work type: Part-time, On-call (hours will vary)
Background: Government issued background investigation
Responsibilities:
  • Designs, deploys, and optimizes cloud-based data solutions.
  • Architects migration strategies for on premises to cloud (AWS, Azure, GCP).
  • Evaluates cloud-native services for storage, processing, and analytics.
  • Optimizes for performance, scalability, cost, and federal compliance (FedRAMP, FISMA).

Education/Experience:
  • Minimum of 5+ years of relevant work experience.
  • Bachelors in CS, Cloud Computing, IT, Meteorology, Atmospheric Science, or related, or equivalent.
  • Must be a US Citizen to meet contract requirements.
  • Must successfully complete a government issued background investigation.

We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); education assistance; paid time off including PTO, holidays, and any other paid leave required by law. The salary offered will depend on several factors including, but not limited to, relevant experience, skills, education, geographic location, internal equity, business needs, and other factors permitted by law. Posted pay ranges are a general guideline only and are not a guarantee of compensation or salary.
EEO Statement
ASRC Federal and its Subsidiaries are Equal Opportunity employers. All qualified applicants will receive consideration for employment without regard to race, gender, color, age, sexual orientation, gender identification, national origin, religion, marital status, ancestry, citizenship, disability, protected veteran status, or any other factor prohibited by applicable law.

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