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Senior Insurance Data Analytics Jobs in Missouri

Walmart

Manager, Data Analytics

Noel, MO · On-site

$80K - $155K/yr

The Manager, Data Analytics leads the development and implementation of compliance reporting ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

Manager, Data Analytics

Anderson, MO · On-site

$80K - $155K/yr

The Manager, Data Analytics leads the development and implementation of compliance reporting ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

Manager, Data Analytics

Cassville, MO · On-site

$80K - $155K/yr

The Manager, Data Analytics leads the development and implementation of compliance reporting ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

Senior Manager, Advanced Analytics

Cassville, MO · On-site

$90K - $180K/yr

The ideal candidate is not just a data analyst or coder, but a strategic problem solver who can ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

Senior Manager, Advanced Analytics

Anderson, MO · On-site

$90K - $180K/yr

The ideal candidate is not just a data analyst or coder, but a strategic problem solver who can ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Walmart

Senior Manager, Advanced Analytics

Noel, MO · On-site

$90K - $180K/yr

The ideal candidate is not just a data analyst or coder, but a strategic problem solver who can ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

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All JobsInsurance Data Analytics JobsSenior Insurance Data Analytics JobsSenior Insurance Data Analytics Jobs in Missouri

Senior Insurance Data Analytics information

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.

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

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

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

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

Senior Insurance Data Analytics jobs near you

Data Analyst Senior

CliftonLarsonAllen LLP

Saint Louis, MO • On-site

$75 - $95/hr

Other

Medical, Dental, Vision, Retirement

Posted 2 days ago

New

CliftonLarsonAllen rating

7.0

Company rating: 7.0 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

20th of 22 rated bookkeepers and accountants

Job description

About the Role

CLA is hiring a Data Analyst Senior to leverage the Microsoft Power Platform and scripting languages such as R or Python to clean, analyze, and visualize data for internal and external clients. The senior analyst will develop solutions, lead projects, and contribute to new business development.

Responsibilities
  • Develop service-specific knowledge and apply business skills through exposure to peers, clients, and internal experts.
  • Collect, analyze, and assess data using tools including Power Platform (Power BI, Power Apps, Power Automate), Excel, DAX, M, R, and Alteryx.
  • Support the building and implementation of solutions for external clients and internal projects as part of the Data Analytics team.
  • Develop custom data models, algorithms, predictive analytics, machine learning, and AI techniques under guidance of team leaders.
  • Monitor and analyze solution performance and accuracy, communicating findings to team members.
  • Collaborate with leadership and colleagues across offices, serving as a primary contact with clients or business leaders on internal projects.
  • Perform additional administrative tasks, support roles, and contribute to new business development activities.
Qualifications
  • Four (4) years of experience in data analytics, public accounting, financial consulting, computer science, or a related field is required; five years is preferred.
  • Bachelor's degree is required. A combination of relevant experience, education, and training may be accepted in lieu of a degree.
  • Preferred majors: Business, Accounting, Finance, Economics, Analytics, or Data Science.
  • Proficiency with Power Platform, Excel, DAX, M, R, and Alteryx.
  • Strong analytical, problem-solving, and communication skills.
Benefits

The role includes comprehensive benefits such as health, dental, vision, 401(k), and additional wellness programs.

Equal Opportunity Employer

CLA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, disability status, protected veteran status, national origin, or any other characteristic protected by law.

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What CliftonLarsonAllen employees say

Pay

Benefits

Hours and flexibility

Workplace

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About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012

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