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Senior Insurance Data Analytics Jobs in Oklahoma

Addison Group

Sr. Data Engineer

Oklahoma City, OK · On-site

$50 - $70/hr

Senior Data Engineer Location: Oklahoma City, OK Pay: $50 - $70 / Hour Work Schedule: Hybrid - 4 ... A key focus of the role will be analyzing data related to reliability and vegetation management ...

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline ... About SmartLight Analytics SmartLight Analytics was formed by a group of industry insiders who ...

Pwc

Data Engineer - Senior Associate

Tulsa, OK · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Life.Church

Senior Data Engineer

Edmond, OK · On-site

$95K - $130K/yr

Collaborate with product, platform, analytics, and engineering teams to ensure relevant data is ... Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional ...

Pwc

Data Engineer - Senior Associate

Oklahoma City, OK · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Life.Church

Senior Data Engineer

Edmond, OK

$95K - $130K/yr

Collaborate with product, platform, analytics, and engineering teams to ensure relevant data is ... Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional ...

Pwc

Data Engineer - Senior Manager

Oklahoma City, OK · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Senior Manager

Tulsa, OK · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

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Senior Insurance Data Analytics information

What does a senior insurance data analytics professional do?

A Senior Insurance Data Analytics professional analyzes large datasets to help insurance companies make informed decisions about risk, pricing, claims, and customer behavior. They use statistical methods, data modeling, and business intelligence tools to uncover trends and insights that can improve operational efficiency and profitability. In addition to interpreting complex data, they often collaborate with other departments to develop data-driven strategies and may oversee or mentor junior analysts within the team.

What are the key skills and qualifications needed to thrive as a senior insurance data analytics professional?

To thrive as a Senior Insurance Data Analytics professional, you need a strong background in statistics, data analysis, and domain knowledge of insurance, often supported by a degree in mathematics, statistics, or a related field. Expertise in data analytics tools such as SQL, Python, R, and experience with business intelligence platforms like Tableau or Power BI are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex insights clearly set top performers apart in this role. These skills are crucial for driving data-driven decision-making, identifying business opportunities, and improving risk assessment and operational efficiency within insurance organizations.

What are some common challenges faced by senior insurance data analytics professionals when working with large and complex datasets?

Senior Insurance Data Analytics professionals often encounter challenges such as integrating data from multiple legacy systems, ensuring data quality and accuracy, and managing sensitive information in compliance with regulations. Additionally, translating complex analytical findings into actionable insights for non-technical stakeholders can be demanding. Overcoming these challenges requires strong technical skills, clear communication, and close collaboration with IT, underwriting, and actuarial teams.

What is the difference between Senior Insurance Data Analytics vs Insurance Data Analyst?

AspectSenior Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often with experience in insurance analyticsBachelor's in related field; entry to mid-level experience
Work EnvironmentSenior roles often involve leadership, project management, and strategic planning within insurance companiesFocus on data collection, analysis, and reporting under supervision or team guidance
Employer & Industry UsageUsed across insurance firms, especially in analytics, underwriting, and actuarial departmentsCommonly employed in insurance companies, focusing on data processing and reporting

Senior Insurance Data Analytics professionals typically have more experience, advanced skills, and leadership responsibilities compared to Insurance Data Analysts. While both roles require strong analytical skills and familiarity with insurance data, seniors often oversee projects, develop strategies, and mentor junior staff, whereas analysts focus on data analysis and reporting tasks.

What are the most commonly searched types of Insurance Data Analytics jobs in Oklahoma?

The most popular types of Insurance Data Analytics jobs in Oklahoma are:

Senior Insurance Data Analytics jobs near you

Sr. Data Engineer

Addison Group

Oklahoma City, OK • On-site

$50 - $70/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 4 days ago

Job description

Job Title: Senior Data Engineer
Location: Oklahoma City, OK
Pay: $50 - $70 / Hour
Work Schedule: Hybrid - 4 days onsite and 1 day remote initially
Benefits: This position is eligible for medical, dental, vision, and 401(k).
About The Company:
A well-established organization in the energy and utilities industry is seeking a Senior Data Engineer to join its analytics team. This is an opportunity to work on meaningful, high-impact data initiatives that influence operational performance, reliability, risk management, and business decision-making.
Job Description:
The Senior Data Engineer will design, develop, and support data solutions that transform complex operational information into reliable, actionable insights. This individual will work across data engineering, business intelligence, statistical analysis, and emerging AI technologies.
A key focus of the role will be analyzing data related to reliability and vegetation management programs, evaluating the impact of operational changes, and developing analytics that help stakeholders understand performance, risk, customer impact, and opportunities for improvement.
The ideal candidate is an experienced data professional who can work independently, solve complex problems, and translate ambiguous business questions into practical technical solutions.
Key Responsibilities:
  • Build and maintain scalable data pipelines, analytical datasets, and reporting solutions.
  • Write and optimize SQL queries while investigating data quality and transformation issues.
  • Develop Power BI dashboards, reports, semantic models, and other business intelligence solutions.
  • Work with data from multiple enterprise systems and sources to create comprehensive analytical views.
  • Perform statistical analysis to measure operational performance and determine the effectiveness of business initiatives.
  • Analyze reliability, outage, asset, vegetation, customer, and operational data to identify trends and potential risks.
  • Develop meaningful performance indicators and analytical models that supplement traditional reliability measurements.
  • Create dashboards, scorecards, rankings, and visualizations that help business leaders prioritize actions.
  • Validate data, reconcile discrepancies between systems, and document assumptions and business logic.
  • Translate business needs into repeatable data models, analytical processes, and user-friendly solutions.
  • Support production data environments through troubleshooting, quality checks, version control, and ongoing improvements.
  • Collaborate with technical teams and business stakeholders to gather requirements and deliver effective solutions.
  • Leverage AI-assisted development and emerging technologies to improve data engineering and analytical capabilities.

Qualifications:
  • Senior-level experience in data engineering, data analytics, business intelligence, or a related field.
  • Strong SQL development and data troubleshooting experience.
  • Experience with ETL/ELT processes and data pipeline development.
  • Experience with Power BI and/or Microsoft Fabric.
  • Knowledge of data modeling and modern enterprise data environments.
  • 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 research, investigate, and resolve complex data challenges.
  • Excellent communication skills with both technical and non-technical audiences.
  • Strong attention to detail and commitment to data accuracy.
  • Self-motivated with the ability to work effectively with limited supervision.

Preferred Qualifications:
  • Experience with Minitab Statistical Software or a similar statistical analysis platform.
  • Experience with Snowflake and enterprise data warehousing.
  • Experience with Microsoft Fabric, Lakehouse environments, or cloud-based data solutions.
  • Experience working with SAP or other large enterprise systems.
  • Experience with GIS or geospatial data.
  • Utility, energy, infrastructure, engineering, or other asset-intensive industry experience.
  • Knowledge of electric reliability concepts and operational performance metrics.
  • Experience developing predictive, leading, or customer-focused reliability indicators.
  • Familiarity with AI platforms, machine learning, predictive analytics, or intelligent automation.

Additional Details:
  • This position is structured as contract-to-hire, with the potential for permanent employment based on business needs and performance.
  • The initial schedule is expected to be 4 days onsite and 1 day remote. Additional remote flexibility may become available after approximately six months but is not guaranteed.
  • The anticipated start date is October 2026, with potential flexibility for an earlier start.
  • The interview process includes two interviews and a practical data exercise.
  • Candidates should be prepared to demonstrate their technical, analytical, and problem-solving abilities.
  • This is a senior-level position, and the selected candidate is expected to be productive with minimal training.

Perks:
  • Work on high-impact data initiatives with measurable business and operational outcomes.
  • Opportunity to work across data engineering, analytics, statistics, and emerging AI technologies.
  • Exposure to modern data platforms and enterprise analytics environments.
  • Potential pathway from contract to permanent employment.
  • Hybrid work flexibility.
  • Opportunity to directly influence reliability, operational performance, and strategic decision-making.

Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.
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