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Senior Insurance Data Analytics Jobs in Leander, TX

Steadily

Sr Insurance Product Manager

Austin, TX · On-site

$125K - $165K/yr

Top of market salary + equity RELOCATION ASSISTANCE PROVIDED Steadily is hiring a Senior Insurance ... Drive Profitability & Growth by making data-driven decisions that put profitability first while ...

Ci

Data Science and Analytics Manager

Austin, TX

Act as a senior subject matter expert for enterprise analytics and reporting. Qualifications * 4-6+ ... Employer paid Dental, Vision & Life and AD&D Insurance * Employer paid Short-term & Long-term ...

3coresystems

Senior Data Analyst

Austin, TX · Hybrid

$85K - $107K/yr

Senior Data Analyst Location: Deerfield Beach FL (Hybrid \- 3 Days a week onsite) Contract: 6+ ... meaningful analytics that drive results. The ideal candidate combines strong analytical and ...

Servicenow

Director, AI Data & Analytics GTM

Austin, TX · On-site

$250 - $420/hr

The Global Director of Data and Analytics GTM at ServiceNow will spearhead the development and ... with senior leaders and stakeholders throughout the organization. The candidate must bring a ...

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All JobsInsurance Data Analytics JobsSenior Insurance Data Analytics JobsSenior Insurance Data Analytics Jobs in Leander, TX

Senior Insurance Data Analytics information

See Leander, TX salary details

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

As of Sep 3, 2026, the average hourly pay for senior insurance data analytics in Leander, TX is $54.29, according to ZipRecruiter salary data. Most workers in this role earn between $44.57 and $64.33 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 Leander, TX?

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

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

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

Senior Insurance Data Analytics jobs near you

Chief Data Analytics Officer

Association For Institutional Research

Georgetown, TX • On-site

$160 - $230/hr

Other

Posted 13 days ago

Job description

Nominations and applications are invited for this position. Review of applications will begin immediately, and candidate material received by October 2, 2026 will be assured full consideration although recruitment will continue until an appointment is announced. Applications (including a cover letter and resume) must be uploaded to: http://lapovsky.hiringthing.com .Lapovsky Consulting is assisting Southwestern University in this search. To submit a nomination or to request more information regarding this search, contact:

Southwestern University is an Equal Employment Opportunity employer.

Job Duties

Please review the comprehensive profile of the position which includes greater detail about the University and the position.

Job Qualifications

The CDAO must possess a master's degree (doctorate preferred) in statistics, data science, economics, social science research, or a related quantitative field, along with a minimum of eight years of progressively responsible experience in institutional analytics, institutional research, or statistical analysis, preferably within higher education.

The successful candidate will have demonstrated expertise in managing large-scale datasets, applying advanced statistical modeling, and predictive analytics, and overseeing institutional, state, and federal data reporting requirements. IPEDS knowledge is highly desirable.

The role requires strong analytical and strategic thinking, data governance expertise, exceptional leadership and clear communication skills, sound judgment, and the ability to translate complex data into actionable insights that support executive decision-making and institutional effectiveness.

The ability to analyze and deliver complex institutional data in a clear concise manner is required, understanding the information will be leveraged by executive leadership to make high-stakes decisions.

Desired Skills and Attributes:

  • Proven leadership experience in data analytics, with the ability to collaborate effectively across diverse teams and stakeholders.
  • Strategic and analytical thinker who can translate complex data into actionable insights and communicate trends and key findings to senior leadership.
  • Exceptional communication, collaboration, and relationship-building skills.
  • Strong technology expertise and demonstrated ability to quickly learn and adapt to new systems and tools.
  • Strong research, data organization, and presentation skills, with current knowledge of higher education, data analytics, and artificial intelligence trends.
Institution Description

The Chief Data Analytics Officer (CDAO) serves as the University’s senior leader for institution-wide data strategy, reporting, and analytics and will ensure compliance reporting and collaborate with senior staff to support data-driven decisions that ensure institutional growth, student and academic success, and contribute to the long‑term financial health of the University. As a strategic and operational leader, the CDAO oversees data governance, business intelligence, analytics, institutional reporting, predictive modeling, and enterprise performance measurement while ensuring the accuracy, security, accessibility, and responsible use of institutional data.

As the Chief Data and Analytics Officer (CDAO), you will partner with senior leadership and colleagues across academic affairs, enrollment management, finance, information technology, student affairs, advancement, and other key administrative areas to build a culture where data drives meaningful decisions. You will have the opportunity to shape how the institution uses data and analytics to inform strategy, strengthen operations, and advance institutional priorities across the organization. The successful candidate will develop and implement university-wide processes for disseminating data requested by divisions, departments, and administrative units, ensuring information is delivered in a timely, actionable, and impactful manner that advances institutional priorities and strategic goals.

For the full details, please see the comprehensive profile .

Please review the comprehensive profile of the position which includes greater detail about the University and the position.

Application Due Date: 2026-10-02

Job Start Date: 2027-01-04

City: Georgetown

State/Province/Region: TX

Institution: Southwestern University

Reports To: President

Staff # Reporting to Position: 0

Reports In Office: The President

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