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Insurance Data Analytics Jobs in Plano, TX (NOW HIRING)

Bachelor's degree in Business, Data Analytics, Statistics, Healthcare Administration, or a related ... Life Insurance * 401k with company match * Paid Time Off * Paid Parental Leave #LI-MM1 ...

Bachelor's Degree or Professional Certificate in Data Analytics, Data Mining, Data Science, or a ... Our benefits include health insurance (medical, dental, and vision), paid time off, tuition ...

A minimum of 1-2 years' experience in the insurance industry, specifically in employee welfare benefits or pharmacy data analytics * Knowledge of the Pharmacy Benefit Management (PBM) industry ...

Business Data Analyst Location: Dallas, TX Zip Code: 75234 Duration: 6 Months Pay Rate: $40.69/hr ... Benefits offered may include health care, dental, vision, life insurance; 401(k); education ...

New

Senior Data Analyst

Plano, TX · On-site

$110K - $185K/yr

... advanced analytics and new product development. PepsiCo's Data Management and Operations team is ... Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

... Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan ... Strong grasp of emerging technologies in data and analytics (e.g., GenAI, LLMs, Databricks, cloud ...

... advanced analytics and new product development. PepsiCo's Data Management and Operations team is ... Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

Develop and manage dashboards and analytics to track engineering progress, equipment/OFCI status ... disability insurance; 401(k) retirement plan; flexible spending and HSA accounts; paid holidays ...

... advanced analytics and new product development. PepsiCo's Data Management and Operations team is ... Program (EAP), Insurance (Accident, Group Legal, Life), Defined Contribution Retirement Plan.

Showing results 41-60

Insurance Data Analytics information

See Plano, TX salary details

$23

$52

$90

How much do insurance data analytics jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for insurance data analytics in Plano, TX is $52.40, according to ZipRecruiter salary data. Most workers in this role earn between $42.12 and $59.38 per hour, depending on experience, location, and employer.

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.

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.

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.

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.

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.

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.

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 most commonly searched types of Insurance Data Analytics jobs in Plano, TX?

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

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

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

Infographic showing various Insurance Data Analytics job openings in Plano, TX as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $108,987 per year, or $52.4 per hour.

Operations Data Analyst

Lantern

Dallas, TX

Full-time

Re-posted 28 days ago


Job description

About Lantern

Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their workforces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work. With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members across the country. Learn more about us at lanterncare.com.


Operations Data Analyst

As the Operations Data Analyst for the Outbound Program, you will support the day-to-day data and reporting needs of the outbound Care Advocate team. You will compile, organize, and analyze operational data to help leadership and the team understand performance, identify trends, and make informed decisions. Working closely with the leadership team, you will support the reporting infrastructure and provide ongoing data support as the program grows. This role is a great fit for someone who is detail-oriented, eager to learn, and excited to contribute to a fast paced, growing operation.

Location: Hybrid | USA | Full-time | Preference for Dallas, TX, New York, NY and Washington, DC

Responsibilities:

Data Collection & Reporting

  • Pull, compile, and organize operational data from CRM systems, dialer platforms, and other contact center tools on a regular cadence
  • Build and maintain dashboards and reports that track key outbound program metrics including contact rates, conversion, call volume, and advocate productivity
  • Deliver daily, weekly, and monthly performance reports to the leadership team
  • Ensure data accuracy and consistency across all reports and tracking tools

Performance Analysis & Insights

  • Analyze team and individual advocate performance data to identify trends, patterns, and areas of opportunity
  • Support the leadership team with data requests, ad hoc analyses, and performance deep dives
  • Help translate data findings into clear, easy-to-understand summaries for leadership and non-technical stakeholders
  • Flag data anomalies or performance concerns to leadership in a timely manner

Reporting Infrastructure & Process Support

  • Assist in building and maintaining the reporting infrastructure and data tracking processes for the outbound program
  • Develop and maintain tracking tools, spreadsheets, and reporting templates that support program operations
  • Identify opportunities to streamline data collection and reporting processes and recommend improvements
  • Document data definitions, reporting processes, and data sources to ensure consistency and continuity

Collaboration & Program Support

  • Work closely with the leadership team to align reporting with program goals and performance standards
  • Respond to data requests from cross-functional partners in a timely and accurate manner
  • Support special projects and initiatives requiring data analysis or reporting as assigned
  • Other duties and responsibilities as assigned

Requirements:

  • Bachelor's degree in Business, Data Analytics, Statistics, Healthcare Administration, or a related field preferred; equivalent experience considered
  • 2–3 years of experience in a data, reporting, or operations support role required; contact center or healthcare experience a plus
  • Exposure to or experience working with AI tools, automation platforms, or emerging analytics technologies a plus
  • Proficiency in Microsoft Excel or Google Sheets, including pivot tables, formulas, and data visualization
  • Experience with or exposure to CRM systems, reporting dashboards, or BI tools (e.g., Tableau, Power BI) preferred
  • Strong attention to detail with a commitment to data accuracy and consistency
  • Ability to manage multiple reporting tasks and deadlines in a fast-paced environment
  • Clear written and verbal communication skills with the ability to present data findings to non-technical audiences
  • Eagerness to learn, grow, and take on increasing responsibility over time
  • Ability to work independently and collaboratively within a small, cross functional team
  • Knowledge of healthcare, insurance, or contact center operations a plus

Strong Candidates will:

  • Be naturally detail-oriented and take pride in accurate, clean, well-organized data
  • Be comfortable working with large data sets and eager to develop their analytical skills in a real-world environment
  • Communicate findings clearly – able to turn numbers into a story that non technical teammates can act on
  • Be proactive and self-directed, taking ownership of recurring reports and flagging issues without being asked
  • Be excited to help establish and continuously improve reporting processes
  • Bring curiosity and a continuous improvement mindset to every dataset they touch

Benefits

  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Short & Long Term Disability
  • Life Insurance
  • 401k with company match
  • Paid Time Off
  • Paid Parental Leave

#LI-MM1

#LifeAtLantern


About You:

  • You use LOGIC in your decision making and understand that progress is critical to making change. You focus on the execution of your content while balancing a fast-paced environment and you take the time to celebrate both the small & big wins.
  • INCLUSION is a core tenant of your personal beliefs. A diverse and inclusive environment is incredibly important to you. You understand and desire to be a part of a diverse team with different experiences and perspectives & you cherish the differences in each individual that you interact with.
  • You have the GRIT, drive and ambition to tackle big problems. Big problems require big ideas and a team that supports new ideas.
  • You care deeply for your customers are driven to keep HUMANITY in all decisions. Your customers aren't just the individuals using your product. They are the driving factor in your motivation to make a change.
  • Integrity guides you in life. Focusing on the TRUTH vs. giving people the answers they want to hear.
  • You thrive in a Team Environment. Collaboration is key in innovation and creating change.

These pillars of LIGHT are a reminder to our team that we are making a difference by providing guidance and support in navigating the often complex and confusing landscape of healthcare. We hope that through this LIGHT, individuals can find their way to the best care, resources, and support they need to get back to life.

If this sounds like you, we would love to connect to speak further about career opportunities at Lantern.

Please apply to our role & someone from our Talent Acquisition Team will reach out to help you navigate our interview process.


Lantern does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.