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Senior Insurance Data Analytics Jobs in Alabama (NOW HIRING)

The Lockwood Group

Senior Data Analyst

Huntsville, AL · On-site

$89K - $112K/yr

Bachelor's in Data Science, Operations Research or related field * 7+ years experience in analytics ... dental, and vision insurance, health and wellness, various optional add-on benefits, and a ...

The Lockwood Group

Senior Data Analyst

Huntsville, AL

$89K - $112K/yr

Bachelor's in Data Science, Operations Research or related field * 7+ years experience in analytics ... dental, and vision insurance, health and wellness, various optional add-on benefits, and a ...

VIVA Health

Senior Provider Data Analyst

Birmingham, AL · On-site

$80K - $101K/yr

The Senior Provider Data Analyst is responsible for supporting and developing VIVA HEALTH ... data analytics, operational reporting, business intelligence and decision support. This role ...

Viva Health

Senior Provider Data Analyst

Birmingham, AL · On-site

$80K - $101K/yr

The Senior Provider Data Analyst is responsible for supporting and developing VIVA HEALTH ... data analytics, operational reporting, business intelligence and decision support. This role ...

Viva Health

Senior Provider Data Analyst

Birmingham, AL · On-site

$100 - $125/hr

The Senior Provider Data Analyst is responsible for supporting and developing VIVA HEALTH ... data analytics, operational reporting, business intelligence and decision support. This role ...

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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 Alabama?

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

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

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

Senior Insurance Data Analytics jobs near you

Senior Supply Chain Risk Analytics Engineer

QED Analytics Inc

Huntsville, AL • On-site

Full-time

Re-posted 23 days ago

Job description

Description

Senior Supply Chain Risk Analytics Engineer / Analyst


Overview


We are seeking a highly skilled Senior Supply Chain Risk Assessment Engineer / Analyst to support the development, enhancement, and operation of a government-focused supply chain risk assessment capability. This role blends data analytics, system architecting, risk analysis, and stakeholder collaboration in a secure, mission-focused environment.


Key Responsibilities

Supply Chain Risk Analytics & Domain Expertise:

- Analyze defense industrial base and supply chain risk across foreign influence, cyber vulnerability, and financial security.

- Apply structured risk management principles and communicate findings and data limitations.

Data Management & ETL:

- Lead ETL efforts that integrate government and commercial datasets.

- Ensure data quality, traceability, and proper handling of sensitive information.

System Architecture & Platform Migration:

- Support design and evolution of government-developed analytics tools.

- Support migration to enterprise analytics platforms.

Visualization & Reporting:

- Develop dashboards, geo-maps, and supply chain visualizations.

- Produce standardized analytical reports and data exports.

Required Qualifications

- Bachelor's degree in engineering, data science, computer science, or related field.

- Proficiency in data analytics software (Excel, Access, Power BI).

- Significant experience in supply chain risk assessment and data analytics, including company and industry analysis.

- Experience working in government or defense environments.

- Active SECRET clearance or ability to be granted an Interim SECRET within 30 days.

Preferred Qualifications

- Advanced degree strongly preferred.

- Programming experience (Python, C++, R, etc)

- Familiarity with use of AI for research and software coding.

- TS clearance or ability to be granted a TS clearance.

Soft Skills

- Strong analytical and communication skills.

- Ability to work with ambiguous data and complex stakeholder environments.

- Self-starter who seeks innovative solutions to new and evolving problems.

Requirements

Required Qualifications

- Bachelor's degree in engineering, data science, computer science, or related field.

- Proficiency in data analytics software (Excel, Access, Power BI).

- Significant experience in supply chain risk assessment and data analytics, including company and industry analysis.

- Experience working in government or defense environments.

- Active SECRET clearance or ability to be granted an Interim SECRET within 30 days.

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