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Data Analytics Manager Jobs in Oklahoma (NOW HIRING)

What You'll Do We are seeking a Manager of Data Analytics to enhance our customer insights function within a fast-growing SaaS payroll company. This role will be responsible for transforming data ...

What You'll Do We are seeking a Manager of Data Analytics to enhance our customer insights function within a fast-growing SaaS payroll company. This role will be responsible for transforming data ...

Data Engineer

Oklahoma City, OK

$106K - $127K/yr

... management. * Cloud Platforms : Knowledgeable about cloud platforms like Snowflake, Azure, AWS, and GCP for data storage, processing, and analytics. * Python for Data Manipulation : Competent in ...

New

Data Engineer

Oklahoma City, OK · On-site

$106K - $127K/yr

... management. * Cloud Platforms : Knowledgeable about cloud platforms like Snowflake, Azure, AWS, and GCP for data storage, processing, and analytics. * Python for Data Manipulation : Competent in ...

New

Showing results 41-60

Data Analytics Manager information

See Oklahoma salary details

$28.6K

$89.7K

$158.8K

How much do data analytics manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data analytics manager in Oklahoma is $89,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,900.00 and $115,900.00 per year, depending on experience, location, and employer.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

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 Manager jobs? Cities in Oklahoma with the most Data Analytics Manager job openings:
Infographic showing various Data Analytics Manager job openings in Oklahoma as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $89,697 per year, or $43.1 per hour.

Operational Data Analyst

Revenue Management Solutions, LLC

Oklahoma City, OK • On-site

Full-time

Re-posted 7 days ago


Job description

Job Summary:
Revenue Management Solutions, LLC is seeking an Operations Data Analyst to support their internal Operations Teams through data analysis. The role involves providing reporting, researching improvements for processing efficiency, and managing data extraction methods to enhance operations.
Responsibilities:
• Provide long-term reporting, team metrics and quality control insight using tools such as Microsoft SQL Server, Sisense, Excel, Python, and more
• Research and develop suggested improvements for production processing efficiency
• Create, test, and maintain SQL stored procedures alongside a Unit Test environment
• Work with proprietary software to manage internal document extraction methods through building, testing, and deployment pipelines
• Perform dataset collection for creation of new machine learning processes
• Perform data labelling and dataset refinement to fine-tune current and future machine learning methods
• Manage and resolve data extraction inconsistencies per client standard
• Other duties and responsibilities as assigned
Qualifications:
Required:
• 1-3 years SQL and Python
• Data Analytic/Mining skills required
• Experience with version control (GIT, CVS)
• Proficiency in MS Office Suite
• Problem-solving skills
• Excellent verbal and written communication skills
• Excellent organizational skills and attention to detail
• Able to multitask, prioritize, and manage time effectively
• Attention to detail
Preferred:
• Experience with Jira or similar ticket tools
• Experience with query performance tuning
• Experience troubleshooting in a live production environment
• Experience with large datasets
• Experience with high volume and fast turnaround
• Understanding of Healthcare claims and payments revenue cycle strongly desired
• A bachelor's degree in a technical field is not required, but preferred
Company:
Revenue Management Solutions (RMS) is a market leader in healthcare remittance processing since 2006, supporting a diverse network of healthcare providers and banking partners. Founded in 2006, the company is headquartered in Oklahoma City, USA, with a team of 201-500 employees. The company is currently Growth Stage.