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Assistant Data Analytics Jobs in Oklahoma (NOW HIRING)

Addison Group

Data Engineer II

Tulsa, OK · On-site

$120/hr

Connect to and analyze data from a variety of source systems to assess data quality, structure, and ... Participate in on-call support rotations and assist with critical issue resolution as needed.

OU Health

Benchmark Analytics Manager

Oklahoma City, OK · On-site

Ensures business intelligence needs are met by collaborating with Data Analytics management and architecture teams to develop reports, train end users and assist with data base design * Develops ad ...

Enidchamber

Market & Business Analyst

Enid, OK · On-site

$90 - $120/hr

Strategic Initiatives * Assist in evaluating new business ventures and expansion opportunities ... Data Analytics * Engineering * Related field Equivalent professional experience will also be ...

New

Addison Group

Sr. Data Engineer

Oklahoma City, OK · On-site

$50 - $70/hr

Ability to use AI tools or prompting techniques to assist with programming and data-related tasks. * Strong analytical, problem-solving, and critical-thinking skills. * Ability to independently ...

Munich Re

Sr. Solution Architect

Broken Arrow, OK · On-site

Key Responsibilities * Assist in the development of a multiyear Data, Analytics, and AI roadmap , aligned with the Munich Re Target Architecture and Roadmap Development Process, in collaboration with ...

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All JobsData Analytics JobsAssistant Data Analytics JobsAssistant Data Analytics Jobs in Oklahoma

Assistant Data Analytics information

What is an assistant data analytics?

Assistant Data Analytics professionals support data analysts and data scientists by preparing data, running basic analyses, and generating reports. They help collect, clean, and organize data so it can be used for business insights and decision-making. Their role often includes using spreadsheets, databases, and visualization tools to present findings clearly. This position is ideal for those starting in data analytics, as it offers hands-on experience with data processes and tools.

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

To thrive as an Assistant Data Analytics professional, you need strong analytical skills, a foundational understanding of statistics, and a relevant degree in fields such as mathematics, computer science, or economics. Familiarity with data analysis tools like Excel, SQL, and visualization software such as Tableau or Power BI is typically required. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills for interpreting and presenting data insights. These skills and qualities are essential for supporting data-driven decision-making and ensuring accurate, actionable results in business environments.

What are some typical challenges faced by an assistant data analytics professional, and how can they be addressed?

Assistant Data Analytics professionals often encounter challenges such as managing large and sometimes incomplete datasets, prioritizing tasks among competing deadlines, and effectively communicating technical findings to non-technical team members. Building strong organizational skills and becoming proficient with data cleaning tools can help manage data quality issues. Regular collaboration with senior analysts and clear communication with stakeholders can also make it easier to navigate complex projects and bridge gaps between technical analysis and business insights.

What is the difference between Assistant Data Analytics vs Data Analyst?

AspectAssistant Data AnalyticsData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or higher in data science, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, data collection and cleaningAnalyzing data, creating reports, providing insights
Employer & Industry UsageCommon in tech, finance, healthcare, and consulting firmsWidely used across industries for data-driven decision making

Assistant Data Analytics roles typically involve supporting data analysis tasks, focusing on data collection and cleaning, while Data Analysts perform in-depth analysis, generate reports, and provide strategic insights. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and responsibilities.

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 Assistant Data Analytics jobs in Oklahoma?

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

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

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

What cities in Oklahoma are hiring for Assistant Data Analytics jobs?

Cities in Oklahoma with the most Assistant Data Analytics job openings:

Assistant Data Analytics jobs near you
Infographic showing various Assistant Data Analytics job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Corporate Data - Senior Health Data Analyst 133-2013

CommunityCare

Tulsa, OK • On-site

$78K - $99K/yr

Full-time

Re-posted 15 days ago

Job description

JOB SUMMARY:
The Senior Health Data Analyst provides the analytical support for Executives and all departments including analysis, pricing, capitation, network, and provider specific reporting. Analytical support includes programming customer-based specifications, producing appropriate statistics, reports, and presentations, analyzing results and impacts, and generating written reports with recommendations and conclusions. The Senior Analyst works with data in company and other databases, data cleaning, descriptive statistical analysis, data modeling, developing and maintaining data documentation, and comparing results to industry standards. The Senior Analyst is also responsible for managing high complexity projects requiring team effort of several other analysts and involvement from other departments. In addition, responsibility of quality review and mentoring are expected. The quality review and mentoring process includes code and logic review, benchmarking, and direction and insight of the reporting processes, statistics of healthcare, and managing projects requiring limited level of independent decision making and coordinating resources.
KEY RESPONSIBILITIES:
  • Manage projects, including create and lead a team of analysts, interact with other departments and outside parties.
  • Concurrently conduct multiple major analytical projects without immediate supervision, including all aspects from programming to analyzing and abstracting information into written reports.
  • Perform review and quality assurance of the projects assigned to other analysts.
  • Develop 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.
  • Create presentations of data analysis including conclusions and recommendations and present findings to key stakeholders.
  • Serve as a resource and mentor to other analysts and assist in training and development as needed.
  • Perform other duties as assigned.

QUALIFICATIONS:
  • Ability see major analysis projects through to completion without immediate supervision.
  • Ability to independently manage projects, including creating and leading a team of analysts, interaction with other departments and outside stakeholders.
  • Ability to apply advanced actuarial, mathematical and statistical techniques and principles into the analysis of financial and health related data.
  • Possess strong oral and written communication skills with the ability to communicate results in a consistent and professional manner.
  • Proven ability to perform descriptive analytics.
  • Demonstrated knowledge of programming, running and modifying pre-written and new code required.
  • Demonstrated knowledge of healthcare data.
  • 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. Master's degree a plus.
  • Demonstrated use of analytical software. SAS or SQL preferred.
  • Experience in Power BI, Tableau or similar software preferred.
  • 5 plus years of Health Data or Data Analysis experience.
  • Project management 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

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