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Senior Insurance Data Analytics Jobs in Tennessee

Sr Data Scientist

Collierville, TN ยท On-site

$85 - $187/hr

Uses data, statistical and quantitative analysis, explanatory and high complexity predictive modeling and fact-based management to drive decision making. * Mentors less senior staff. Leads cross ...

New

Senior Data Usability Analyst

Franklin, TN ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... home insurance, identity theft protection, legal counseling, long-term care coverage, moving ... Interest in healthcare analytics, informatics, data quality, or process improvement strongly ...

Senior Data Usability Analyst

Nashville, TN ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... home insurance, identity theft protection, legal counseling, long-term care coverage, moving ... Interest in healthcare analytics, informatics, data quality, or process improvement strongly ...

Senior Data Usability Analyst

Nashville, TN ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... home insurance, identity theft protection, legal counseling, long-term care coverage, moving ... Interest in healthcare analytics, informatics, data quality, or process improvement strongly ...

Senior Data Usability Analyst

Murfreesboro, TN ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... home insurance, identity theft protection, legal counseling, long-term care coverage, moving ... Interest in healthcare analytics, informatics, data quality, or process improvement strongly ...

Senior Data Usability Analyst

Lebanon, TN ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... home insurance, identity theft protection, legal counseling, long-term care coverage, moving ... Interest in healthcare analytics, informatics, data quality, or process improvement strongly ...

Senior Data Usability Analyst

Franklin, TN ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... home insurance, identity theft protection, legal counseling, long-term care coverage, moving ... Interest in healthcare analytics, informatics, data quality, or process improvement strongly ...

Senior Data Usability Analyst

Lebanon, TN ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... home insurance, identity theft protection, legal counseling, long-term care coverage, moving ... Interest in healthcare analytics, informatics, data quality, or process improvement strongly ...

Senior Data Usability Analyst

Murfreesboro, TN ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... home insurance, identity theft protection, legal counseling, long-term care coverage, moving ... Interest in healthcare analytics, informatics, data quality, or process improvement strongly ...

Sr Crew Data Analyst

Memphis, TN ยท Hybrid

$76K - $96K/yr

Performs data analytics and analysis utilizing Excel, SQL and/or SAS to ensure accurate pay in accordance with the crew's collective bargaining agreement (CBA). Responsible for planning, overall ...

Senior Software Engineer, OCI Data Analytics

Nashville, TN ยท On-site

$118K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Some work looks like data engineering, some looks like platform engineering, and some looks like ... Voluntary benefits including auto, homeowner and pet insurance The role will generally accept ...

Senior Software Engineer, OCI Data Analytics

Nashville, TN ยท On-site

$118K - $156K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Some work looks like data engineering, some looks like platform engineering, and some looks like ... Voluntary benefits including auto, homeowner and pet insurance The role will generally accept ...

Showing results 41-60

Senior Insurance Data Analytics information

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

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

What cities in Tennessee are hiring for Senior Insurance Data Analytics jobs?

Cities in Tennessee with the most Senior Insurance Data Analytics job openings:

Sr Data Scientist

Federal Express Corporation

Collierville, TN โ€ข On-site

$15K/mo

Full-time

Posted 3 days ago

New


Job description

Provides expertise and leadership at the enterprise level related to vast quantities of data (including disparate data), enterprise analytics, statistical modeling and initiatives. Leads staff in descriptive, predictive, prescriptive and ensemble modeling, advanced statistical techniques, use of database tools and/or other approaches in quantitative analysis of complex business situations.

Essential Functionsย 

  • Creates and executes solutions form initial concept to fully tested production and communicates results to a broad range of audiences.ย 
  • Advanced use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to management, via understanding of the business model and the information available for analysis.ย 
  • Uses data, statistical and quantitative analysis, explanatory and high complexity predictive modeling and fact-based management to drive decision making.ย 
  • Mentors less senior staff. Leads cross functional teams. Routinely work on multiple highly complex assignments.ย 
  • Provides consultation to senior leadership on a normal basis.ย 
  • Performs other duties as assigned.ย 

Knowledge, Skills and Abilitiesย 

  • Superior analytical skills with diverse analytics and statistical software and applications. Excellent interpersonal skills, written and oral communication skills. Proven leadership skills.ย 
  • Strong Python skills (data pipelines, automation, scriptingย 
  • Experience with SQL and cloud data warehousing (BigQuery or equivalent)ย 
  • Experience with cost/financial data analysis or FinOps-adjacent reportingย 
  • 3+ years of experience in data science or data engineering rolesย 
  • Experience with medallion (bronze/silver/gold) data architectureย 
  • Hands-on experience with Databricks (Spark, Delta Lake, notebooks/jobs)ย 
  • Proficiency in Power BI and Microsoft 365 (Excel/Power Query) for reportingย 
  • Terraform / Infrastructure-as-Code experienceย 
  • Applied machine learning experience (forecasting, anomaly detection, cost optimization models)ย 
  • Experience building or integrating agentic/LLM-based workflowsย 
  • One of the following: FinOps Certified Practitioner / FinOps for AI, Google Cloud certification, Azure certification, OCI certificationย 


Minimum Education

Bachelor's degree in data science, computer science, applied mathematics, data analytics, statistics or related quantitative field.ย Related experience may offset degree requirements and related education/degree may offset experience requirements.

Minimum Experience

Five years' work experience in measurement and analysis, quantitative business problem solving, operations analysis, marketing analysis, simulation and/or predictive analytics.ย ย 


Domicile Informationย 

The preferred location for this hybrid position is Memphis, TN, Pittsburgh, PA or Plano, TX.ย ย However, we will consider candidates based elsewhere within the United States (excluding Alaska, Hawaii, and U.S. territories). Candidates residing within 50 miles of a FedEx campus will be required to work on-site at a FedEx location several times per week.ย 


Preferred Qualifications:

Pay Transparency:

Pay: US: $7,094.23/mo - $15,607.31/mo, CO: $7,094.23/mo - $14,957.01/mo, MD: $7,488.36/mo - $15,607.31/mo, NJ: $7,488.36/mo - $15,607.31/mo, NY: $7,488.36/mo - $15,607.31/mo, NYC: $9,064.85/mo - $15,607.31/mo, WA: $7,488.36/mo - $15,607.31/mo

Additional Details:


For details on our comprehensive benefits, click here.


Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability.

Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.

Applicants have rights under Federal Employment Laws:

  • Know Your Rights
  • Pay Transparency
  • Family and Medical Leave Act (FMLA)
  • Employee Polygraph Protection Act

E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:

  • E-Verify Notice (bilingual)
  • Right to Work Notice (English) / (Spanish)
Employment Type: FULL_TIME