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Compensation Data Analytics Jobs in Oklahoma (NOW HIRING)

Our values, workplace practices, wellness programs, benefits and compensation are aimed at helping ... Applies advanced analytics techniques to larger, more complex data sets, providing actionable ...

Familiarity with business analytics tools for building scorecards and KPI reports. * Experience ... Any compensation range provided for a role is an estimate determined by available market data. The ...

Translate complex business challenges into scalable data, analytics, and technology solutions that ... Any compensation range provided for a role is an estimate determined by available market data. The ...

The Compensation Analyst will provide compensation analytical and administrative support and ... Studies current internal and external wage and salary data to build recommendations for ...

Provides advanced compensation analytical guidance and support to tribal/health/business units ... Applies total rewards principles and labor market data, including all base and variable pay ...

Data Strategy-Manager

Tulsa, OK · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Actual compensation within the range will be dependent upon the individual's skills, experience ...

Data Strategy-Manager

Oklahoma City, OK · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Actual compensation within the range will be dependent upon the individual's skills, experience ...

... Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the ...

Data Governance- Manager

Tulsa, OK · On-site

$99K - $232K/yr

... Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the ...

The role will also work closely with Data & Analytics and IT teams to translate business needs into ... Any compensation range provided for a role is an estimate determined by available market data. The ...

The role will also work closely with Data & Analytics and IT teams to translate business needs into ... Any compensation range provided for a role is an estimate determined by available market data. The ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Actual compensation within the range will be dependent upon the individual's skills, experience ...

Showing results 21-40

Compensation Data Analytics information

What is compensation data analytics?

Compensation data analytics is the process of collecting, analyzing, and interpreting data related to employee compensation, such as salaries, bonuses, and benefits. This field helps organizations make informed decisions about pay structures, ensure competitive and equitable compensation, and comply with legal requirements. By leveraging data analytics, companies can identify trends, address pay disparities, and optimize their compensation strategies to attract and retain top talent.

How does a Compensation Data Analytics professional typically collaborate with HR and business leaders to inform pay decisions?

Compensation Data Analytics professionals work closely with HR teams and business leaders by providing data-driven insights that guide salary structures, incentive plans, and pay equity initiatives. They interpret data from salary surveys, internal pay records, and market trends, translating complex analyses into actionable recommendations. Regular meetings and presentations are common, ensuring that stakeholders understand compensation trends and can make informed decisions that support organizational goals. Effective communication and collaboration are key, as these professionals often bridge the gap between technical analytics and strategic HR planning.

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

To thrive as a Compensation Data Analytics professional, you need strong analytical skills, a solid understanding of compensation structures, and a degree in fields like HR, finance, or statistics. Familiarity with HR information systems (HRIS), data visualization tools like Tableau or Power BI, and proficiency in Excel or statistical software such as R or Python are commonly required. Attention to detail, problem-solving abilities, and effective communication skills help you translate complex data into actionable insights for stakeholders. These skills ensure accurate, data-driven compensation strategies that support organizational goals and fair employee practices.

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

AspectCompensation Data AnalyticsCompensation Analyst
CredentialsDegree in HR, Business, or Data Analytics; often certifications in data analysisDegree in HR, Business, or related field; HR certifications common
Work EnvironmentData-focused, analytical tasks, often in HR or compensation departmentsHR teams, compensation planning, employee benefits
Industry UsageUsed across industries for data-driven compensation strategiesPrimarily in HR and compensation departments within various industries
Search & Comparison IntentFocus on data analysis skills and tools for compensation dataFocus on salary structures, benefits, and employee compensation policies

Compensation Data Analytics involves analyzing large datasets to inform compensation strategies, requiring strong data skills. Compensation Analysts focus on designing and managing salary structures and benefits. Both roles collaborate but differ mainly in their focus—data analysis versus policy implementation.

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

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

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

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

Data Analyst

Oklahoma City, OK • On-site

Other

Posted 13 days ago


Job description

At Devon, we will offer you a career full of energy and unmatched opportunities to solve today’s greatest challenges.

Innovation, creative problem-solving and positive change happen when people step out of their comfort zone and think differently.

Our values, workplace practices, wellness programs, benefits and compensation are aimed at helping employees manage their unique personal life and care for their families so they can focus on contributing to the fullest.

Job Profile Summary

The Production Engineering Data Analyst works to generate data-driven insights across various stakeholders and functional teams across the organization. They seek to automate manual processes and will also proactively explore and develop new and innovative methods to retrieve, visualize, and analyze data from various operational, geological, and financial sources. In this role, Data Analysis works with greater autonomy on routine analyses and contributes to larger projects, providing reliable analysis that informs team-level decisions.

Responsibilities
  • Builds ad hoc queries and modifies and optimizes existing queries to answer slightly more complex questions.
  • Builds new dashboards and reports from established data models.
  • Conducts descriptive analysis to identify trends, patterns, and anomalies in datasets.
  • Begins to document data sources and analytical processes.
  • Collaborates independently with a broader range of stakeholders, proactively identifying opportunities to enhance analytical datasets, visualizations, and tools.
  • Leads efforts to investigate, document, and resolve complex data issues, coordinating with data owners and IT to implement sustainable solutions.
  • Applies advanced analytics techniques to larger, more complex data sets, providing actionable insights that inform team and department-level decisions.
  • Designs and executes advanced statistical analyses, and begins to customize models to address unique business challenges.
  • Develops and deploys GenAI-powered tools and agents to automate recurring analyses and reporting tasks.
  • Recommends and pilots improvements to data collection and reporting processes, measuring impact and iterating as needed.
  • Mentors junior team members, delivers informal training, and contributes to the development of team data literacy resources.
Skillset
  • AI: Independently uses AI to accelerate personal workflows, such as code generation, debugging, and drafting report summaries.
  • Process: Identifies and suggests minor improvements to personal and team-level data workflows.
  • Advanced proficiency in scripting languages, able to write efficient, reusable code and automate routine analyses.
  • Deepens expertise in multiple analytics platforms and tools, and begins integrating data across systems for more comprehensive analysis.
  • Applies advanced visualization techniques to larger and more complex datasets, tailoring visualizations to audience needs.
  • Demonstrates strong troubleshooting skills, independently resolving data and technical issues.
  • Translates complex analyses into actionable recommendations for teams and departments.
  • Communicates technical findings effectively to both technical and non-technical audiences.
  • Facilitates small group discussions and knowledge sharing sessions.
Education
  • Bachelor’s Degree from an accredited college or university in Management Information Systems, Data Analytics, Information Science/Management, Economics, Finance, Accounting, Geoscience, Engineering, or related degree.
Competencies
  • Technical Execution: Independently executes and adapts queries; automates routine data tasks.
  • Tool Proficiency: Integrates multiple tools and platforms for more complex analyses.
  • Data Quality: Identifies and resolves common data issues; documents and shares solutions.
  • AI & Automation: Applies AI tools to automate repetitive processes and enhance efficiency.
  • Stakeholder Engagement: Proactively supports cross-functional teams; anticipates stakeholder data needs.
  • Communication: Tailors data presentations for different audiences; explains analytical methods.
  • Learning: Shares knowledge with peers; participates in team training.

Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or other characteristics protected by law.

For more information on Equal Employment Opportunity, please follow these links: EEO is the Law EEO is the Law Supplement Pay Transparency Provision

Extraordinary work begins with extraordinary people. At Devon, we employ the best people to push boundaries, develop new ideas and take us further.

Official job offers from Devon Energy will be made through a formal offer letter via the candidate’s personal Workday candidate account. The company does not request money from job applicants. For information concerning fraudulent job offers, please review our guidelines.

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