1

Senior Insurance Data Analytics Jobs in Dunlap, TN

... analyst tool/IDQ Knowledge of XML and other databases like DB2, teradata and SQL ... Experience in insurance data models Qualifications Excellent written and verbal communication ...

Collaborate with senior leaders of the Legal, Data, Finance, and Service Delivery teams to create ... Excellent benefits including generous medical, vision, dental and life & disability insurance ...

This role is accountable for proactively leading data, analytics, and AIdriven technology ... insurance coverage, an employee wellness program, life and disability insurance, 401k match ...

Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry. * Sr. Data Scientist: 4 or more ...

Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry. * Sr. Data Scientist: 4 or more ...

... Senior Portfolio Analyst, work with functional managers and project managers to ensure all required data for decision-making is complete, accurate, and readily available. • Monitor and report ...

Senior IT Analyst

Cleveland, TN · On-site

$110 - $120/hr

... Analyst Full Time Professional Senior Cleveland, TN, US 8 days ago Requisition ID: 1303 Salary ... Analyzes business processes, system functionality, data flows, and user requirements to identify ...

Posted today

next page

Showing results 1-20

Senior Insurance Data Analytics information

See Dunlap, TN salary details

$13

$47

$68

How much do senior insurance data analytics jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for senior insurance data analytics in Dunlap, TN is $47.94, according to ZipRecruiter salary data. Most workers in this role earn between $39.38 and $56.78 per hour, depending on experience, location, and employer.

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.

Full-time

Re-posted 24 days ago


Job description

Company Description

Tech Tammina LLC

Job Description

Experience Required: 6+ years

Strong experience in source to target mapping, and metadata management.   

Strong SQL knowledge with complex queries including joins etc. 

Excellent skills in logical and physical data modeling and normalization of data. 

knowledge with Informatica data analyst tool/IDQ 

Knowledge of XML and other databases like DB2, teradata and SQL. 

Experience in insurance data models

Qualifications

Excellent written and verbal communication skills to keep executive staff and team members apprised of goals, project status, and resolve issues and conflicts. 

Ability to quickly learn new concepts and software is necessary

Additional Information

Job Status: Full Time 

Eligiblity: GC or US Citizens

Share the Profiles to mkonni(at)1stitsolutions.com

Contact: 703-349-1214

Keep the subject line with Job Title and Location