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Senior Insurance Data Analytics Jobs in Dunlap, TN

TecTammina

Data Analyst

Chattanooga, TN · On-site

... 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 ...

Unum UK

Sr. Data Engineer - CX Analytics

Chattanooga, TN · Remote

$104K - $125K/yr

We are seeking a Senior Data Engineer to join the CX Analytics team within our Customer Experience ... insurance benefits (short & long-term disability), performance-based incentive plans, paid time off ...

Actalent

SR Cost Accountant

Chattanooga, TN

$74K - $92K/yr

Utilize ERP and financial systems to manage cost data, analyze performance trends, and support ... Life Insurance (Voluntary Life & AD&D for the employee and dependents) * Short and long-term ...

LanceSoft, Inc.

Portfolio Analyst III

Chattanooga, TN · On-site

... 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 ...

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

As of Aug 12, 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 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.
Senior Insurance Data Analytics jobs near you

Data Analyst

TecTammina

Chattanooga, TN • On-site

Full-time

Re-posted 29 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

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Contact: 703-349-1214

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