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Senior Insurance Data Analytics Jobs in Dallas, TX

DHL

Sr Business Data Analyst

Northlake, TX · On-site

$70K - $115K/yr

Are you ready to launch your analytics career in the fast-paced world of supply chain? At DHL Supply Chain, we're looking for a Senior Business Data Analyst who is eager to apply data-driven thinking ...

DPDHL

Sr Business Data Analyst

Northlake, TX

$70K - $115K/yr

Are you ready to launch your analytics career in the fast-paced world of supply chain? At DHL Supply Chain, we're looking for a Senior Business Data Analyst who is eager to apply data-driven thinking ...

PepsiCo

Marketing Data & Analytics Director

Plano, TX

$132K - $262K/yr

Partner with senior commercial leaders to identify opportunities where advanced analytics can ... Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. Qualifications ...

PepsiCo

Marketing Data & Analytics Director

Plano, TX

$132K - $262K/yr

Partner with senior commercial leaders to identify opportunities where advanced analytics can ... Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan. Qualifications ...

3M HEALTHCARE

Data Analytics Manager

Irving, TX · On-site

$125K - $188K/yr

The Data Manager Analyst is a mid‐level professional responsible for delivering subject‐matter ... insurance; wellness programs; paid time off (vacation, sick leave, and holidays). Equal Employment ...

3M HEALTHCARE

Data Analytics Manager

Irving, TX · On-site

$125K - $188K/yr

The Data Manager Analyst is a mid‐level professional responsible for delivering subject‐matter ... insurance; wellness programs; paid time off (vacation, sick leave, and holidays). Equal Employment ...

Vistra Corp

Senior Data Analyst

Irving, TX · On-site

$82K - $104K/yr

Job Summary As Senior Data Analyst, you will be responsible for leading data analysis projects and ... Implementing AI Skills and LLM into Business Processes Job Family Data Analytics Company Vistra ...

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Senior Insurance Data Analytics information

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

As of Sep 2, 2026, the average hourly pay for senior insurance data analytics in Dallas, TX is $56.20, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $66.59 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.

What are the most commonly searched types of Insurance Data Analytics jobs in Dallas, TX?

The most popular types of Insurance Data Analytics jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Senior Insurance Data Analytics jobs?

Cities near Dallas, TX with the most Senior Insurance Data Analytics job openings:

Senior Insurance Data Analytics jobs near you

Data Analytics Intern

Trinity Logistics Group

Dallas, TX • On-site

Internship

Re-posted 3 days ago

Job description

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX. This position will focus on building, deploying, and scaling agentic AI applications and automated workflows across the enterprise. You will contribute to producing AI-first solutions using large language models, agent frameworks, and AI-assisted coding to deliver deployable apps, agents, automated workflows, and AI orchestration.

This role will provide valuable experience working with state-of-the-art enterprise platforms (Databricks and Palantir Foundry) and AI tools (pro licenses for Codex and Claude Code). The role offers hands-on mentorship from senior analytics professionals, exposure to production data and governance practices, and high visibility to business owners giving you real ownership of high-impact projects.

What You'll Do:

  • Design, prototype, and deliver agentic systems that plan and execute multi-step business tasks.
  • Build automated workflows and connectors that integrate internal systems and APIs.
  • Implement LLM-based agents (prompting, tool-calling, memory, monitoring) and harden prototypes for handoff.
  • Produce code and deployable artifacts using AI-assisted generation.
  • Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain in-dept knowledge of business problems and likely solutions.
  • Demo results and deliver concise handoff docs, runbooks, and impact metrics.
     

What You'll Have:

  • Master's or PhD candidate or recent graduate in Data Science, Machine Learning, Computer Science, Applied Math, Statistics, Operations Research, or similar quantitative field.
  • Demonstrable experience building AI prototypes or agentic projects (coursework, research, personal projects, or employment).
  • Generate, test, and iterate code (examples: Python, JavaScript, YAML) using an IDE (VS Code, JetBrains, etc.) with AI-assisted coding (GitHub Copilot, OpenAI Codex,
  • Claude Code, Cursor, or similar). Manual coding fluency is helpful but not mandatory.
  • Familiarity with SQL and cloud data platforms (Databricks, Azure, AWS, or equivalent).
  • Strong problem solving and communication skills; ability to present technical work to nontechnical stakeholders.

Preferred / Nice-to-Have

  • Practical experience with model deployment and monitoring basics (packaging/deploying prototypes, logging/observability, basic cost and drift checks).
  • Experience building or working with data/workflow pipelines or orchestration tools or familiarity with the concepts of scheduling and task orchestration.
  • Experience working with unstructured text and retrieval approaches (RAG or index + LLM patterns) for document/question answering.
  • Comfortable integrating services via REST APIs and using secure authentication patterns.

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