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Senior Insurance Data Analytics Jobs in Jackson, MS

... insurance, and many more industry segments. We invest in people and new advanced technologies to ... Bachelor\'s Degree in Computer Science, Information Systems, Data Analytics, or related field.

Senior Accountant

Richland, MS · On-site

$64K - $80K/yr

Superior data management and data analysis skills. * Strong time management and organizational ... Company-Paid Life Insurance $25,000 - additional voluntary life and AD&D coverage available

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Senior Insurance Data Analytics information

See Jackson, MS salary details

$14

$49

$71

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

As of Aug 18, 2026, the average hourly pay for senior insurance data analytics in Jackson, MS is $49.51, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $58.65 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.

Senior Data Analyst - Remote

Experian

Madison, MS • Remote

$155K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to accomplish their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Job Description

The Senior Data Analyst will help shape the future of employer services, with a focus on HR compliance and outsourcing. You will help develop and implement data-driven solutions that ensure strategic decision-making and drive business growth. We are looking for an experienced and motivated Senior Data Analyst with technical expertise, business insight, and a proactive mindset to solving problems. The Senior Data Analyst will manage various projects, work cross-functionally, and drive results in a dynamic environment.

What you\'ll be doing:

  • Execute tasks assigned through the Data Services ticketing system, ensuring Service level agreement adherence and process compliance.
  • Follow established processes to ensure consistent execution across tasks.
  • Mentor team members on best practices, prioritization, and issue resolution.
  • Review peer deliverables for accuracy, performance, and adherence to data governance standards before production deployment.
  • Support data mapping, customer account data gathering, and technical documentation for integrations
  • Troubleshoot and prioritize data issues flagged by client-facing teams by analyzing end-to-end data flows across multiple products.
  • Influence strategies related to system upgrades, account migrations, data ingestion, and API/connectors
  • Provide occasional weekend support for software upgrades, database patching, and regression testing.
  • You will report to the Manager of Data Services
Qualifications
  • Minimum 6 years of experience in database and application development.
  • Bachelor\'s Degree in Computer Science, Information Systems, Data Analytics, or related field.
  • Advanced proficiency in SQL, with a focus on performance optimization.
  • Experience troubleshooting SSIS packages.
  • Experience in data visualization and reporting using tools like Power BI.
  • Hands-on experience with Microsoft SQL Server.
  • Experience with data modeling principles.
  • Proficiency in scripting languages such as Python or PowerShell.
  • Experience collaborating across cross-functional teams
  • Experience developing data solutions
Additional Information

Benefits/Perks:

  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays
  • Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html

At Experian, our people and culture set us apart. We\'re deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance, development, wellness, collaboration, and recognition, we focus on what truly matters. Our people-first approach has earned us global recognition: World\'s Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ 2025 in 26 countries, and Glassdoor Best Places to Work 2024, among others.

Want to see what life at Experian is really like? Explore Experian Life on social or visit our Careers Site.

Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. This position is also eligible for a variable pay opportunity and a comprehensive benefits package.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

#LI-Remote

  • Employee Status: Regular
  • Role Type: Home
  • Job Posting - Salary Range: $89,865 - $155,767
  • Department: Analytics
  • Flexible Time Off: 15 Days
  • Schedule: Full Time
  • Shift: Day Shift