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Insurance Data Analytics Jobs in Memphis, TN (NOW HIRING)

KELE

Sr. Data Engineer

Memphis, TN

$94K - $128K/yr

Collaborate with the Analytics team and business partners from each area of the Kele companies to ... Medical, vision, and dental insurance * HSA * FSA (medical and dependent care) * 401(k) with ...

Munich Re

Data Scientist

Memphis, TN · On-site +1

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 ...

Stifel

Data Engineer III

Memphis, TN · On-site

$119K - $143K/yr

Ability to analyze complex data sets, identify patterns, and derive actionable insights ... insurance, and paid time off. Stifel is an Equal Opportunity Employer.

Stifel

Data Engineer III

Memphis, TN

$119K - $143K/yr

Ability to analyze complex data sets, identify patterns, and derive actionable insights ... life insurance, and paid time off. Stifel is an Equal Opportunity Employer. Employment Type ...

Stifel

Data Engineer III

Memphis, TN

$119K - $143K/yr

Ability to analyze complex data sets, identify patterns, and derive actionable insights ... insurance, and paid time off. Stifel is an Equal Opportunity Employer.

Raymondjames

Lead TechnicalData Analyst

Memphis, TN · Hybrid

Experience in financial services or risk/data analytics is a plus. Education Bachelor's: Business ... insurance; critical illness insurance and accident insurance; disability benefits; retirement ...

Yusen Logistics

Sr. Data Engineer

Cordova, TN · On-site

$99K - $118K/yr

... analysis efforts, to ensure the availability and consistent performance of our corporate ... Flexible Spending Accounts, Life and Accidental Death & Dismemberment Insurance, Short & Long Term ...

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All JobsInsurance Data Analytics JobsInsurance Data Analytics Jobs in Memphis, TN

Insurance Data Analytics information

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How much do insurance data analytics jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for insurance data analytics in Memphis, TN is $53.18, according to ZipRecruiter salary data. Most workers in this role earn between $42.74 and $60.24 per hour, depending on experience, location, and employer.

What is insurance data analytics?

An Insurance Data Analytics job involves analyzing large volumes of insurance-related data to identify trends, assess risks, detect fraud, and improve decision-making. Professionals in this field use statistical models, machine learning, and data visualization tools to extract insights that help insurers optimize pricing, enhance customer experience, and reduce losses. They work with claims data, policyholder information, and external data sources to drive business strategy. Strong analytical skills, proficiency in data tools like SQL, Python, or R, and knowledge of insurance principles are essential for success in this role.

What are the typical responsibilities of someone working in insurance data analytics?

Professionals in Insurance Data Analytics are responsible for collecting, cleaning, and analyzing large sets of insurance-related data to identify trends, assess risk, and inform business decisions. They commonly develop predictive models, generate reports, and provide actionable insights that help underwriting teams, actuarial staff, and business leaders optimize processes or pricing strategies. Day-to-day tasks may also include collaborating with IT and business units to define data requirements, presenting findings to non-technical stakeholders, and ensuring data integrity. This role often involves a mix of independent analysis and team-oriented projects, offering a dynamic and engaging work environment for problem solvers.

What are the key skills and qualifications needed to thrive in insurance data analytics?

To thrive in Insurance Data Analytics, you need a solid understanding of data analysis, statistics, and insurance industry concepts, usually supported by a degree in mathematics, statistics, finance, or a related field. Proficiency with analytical tools like SQL, Python, R, and data visualization platforms (such as Tableau or Power BI), as well as certifications like CPCU or advanced analytics credentials, are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts translate complex data into actionable business insights. These skills are crucial for driving informed decision-making, risk assessment, and operational improvements within insurance organizations.

How is data analytics used in insurance?

In insurance, data analytics is used by professionals to assess risk, set premiums, detect fraud, and improve customer segmentation. Analysts utilize tools like statistical models and machine learning algorithms to interpret large datasets, enabling more accurate underwriting and claims management. Strong analytical skills and knowledge of data visualization are essential for effective decision-making in this field.

How much does an insurance data analyst make?

The average salary for an insurance data analyst typically ranges from $60,000 to $90,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data visualization, statistical analysis, and tools like SQL or Python may earn higher salaries, especially in larger organizations or metropolitan areas.

Is data analytics a high paying job?

Data analytics roles, including those in insurance data analytics, are generally considered well-paying compared to many other entry-level positions. Salaries vary based on experience, skills, and location, but professionals with expertise in tools like SQL, Python, or R often earn competitive wages and have strong job growth prospects.

What does a data analyst do in insurance?

An insurance data analyst examines large datasets to identify trends, assess risk, and support decision-making processes within insurance companies. They use tools like Excel, SQL, and data visualization software to interpret claims, policy data, and customer information, helping improve underwriting, pricing, and fraud detection.

What are popular job titles related to Insurance Data Analytics jobs in Memphis, TN?

For Insurance Data Analytics jobs in Memphis, TN, the most frequently searched job titles are:

What job categories do people searching Insurance Data Analytics jobs in Memphis, TN look for?

The top searched job categories for Insurance Data Analytics jobs in Memphis, TN are:

What cities near Memphis, TN are hiring for Insurance Data Analytics jobs?

Cities near Memphis, TN with the most Insurance Data Analytics job openings:

Insurance Data Analytics jobs near you
Infographic showing various Insurance Data Analytics job openings in Memphis, TN as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $110,624 per year, or $53.2 per hour.

Analyst Supply Chain Procument

Orgill, Inc.

Collierville, TN • On-site

Full-time

Re-posted 7 days ago

Orgill rating

7.2

Company rating: 7.2 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

225th of 419 rated retail wholesalers

Job description

Supply Chain Procurement Analyst is a foundational role within the newly established Procurement Center of Excellence (CoE). Reporting directly to the Director of Supply Chain Procurement, this highly analytical role is responsible for transforming raw spend data into actionable strategic insights. The Analyst will own the data integrity, spend visibility, and market intelligence required to optimize the company's end-to-end value chain-encompassing private/dedicated fleet assets, global freight, 3PL providers, and Distribution Center (DC) infrastructure. The ideal candidate is a data-driven problem solver who can bridge the gap between complex ERP systems and executive-level sourcing strategies.
Key Responsibilities
Data Analytics & Spend Visibility
  • Spend Aggregation: Extract, cleanse, and analyze multi-million dollar spend data across decentralized business units to identify consolidation opportunities and eliminate maverick spending.
  • Executive Dashboards: Maintain and optimize automated procurement dashboards utilizing Tableau/PowerBI to track key performance metrics and realized savings.
  • System Stewardship: Serve as a key functional user of the Oracle/SAP ERP systems, ensuring proper GL coding, requisition workflows, and taxonomy alignment.
  • Should-Cost Modeling: Conduct data-driven cost and market commodity index tracking to build predictive "should-cost" models for logistics, fleet maintenance, and material handling equipment (MHE).

Sourcing Support & RFQ Execution
  • RFQ/RFP Administration: Assist the Director in drafting, distributing, and managing formal Requests for Quote (RFQs) and Requests for Proposal (RFPs) for indirect spend and capital projects.
  • Commercial Bid Analysis: Execute total cost of ownership (TCO) matrices to compare competing vendor bids on parameters beyond unit price, including lead times, freight costs, and payment terms.
  • AI Tool Integration: Pilot and leverage agentic AI sourcing tools to automate routine quote collection, requisition routing, and vendor intake processes.

Supplier Performance & Governance
  • SRM Scorecarding: Own the supplier relationship management (SRM) metric tracking, regularly auditing key 3PL, carrier, and MRO vendors against contract SLAs.
  • Compliance Auditing: Support regular performance and compliance audits, ensuring all active vendors possess up-to-date insurance certificates, safety records, and executed MSAs.
  • Contract Repository Management: Maintain the centralized digital contract library, monitoring auto-renewal deadlines, termination windows, and key liability/indemnity clauses.

Skills & Qualifications
Education & Certifications
  • Education: Bachelor's degree in Supply Chain Management, Business Administration, Finance, Data Analytics, or Engineering.
  • Certifications (Preferred): CPIM, CSCP, or progress toward Lean/Six Sigma Green Belt certifications.

Experience & Technical Expertise
  • Experience: 2 to 4 years of progressive experience in supply chain analytics, procurement, or financial planning and analysis (FP&A).
  • Advanced Data Skills: Expert-level mastery of Microsoft Excel (VLOOKUPs, Pivot Tables, Power Query) and data visualization tools (Tableau or PowerBI).
  • System Knowledge: Hands-on experience operating within enterprise ERP environments (Oracle or SAP).

Core Competencies
  • Analytical Rigor: Ability to synthesize complex, unvetted datasets into concise executive summaries and actionable insights. Use and leverage of AI is highly recommended and preferred.
  • Cross-Functional Communication: Excellent verbal and written skills necessary to interface with DC General Managers, Finance analysts, and global vendor accounts.
  • Agile Mindset: Comfortable working in a high-growth, greenfield department environment where processes are being built from the ground up.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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