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Insurance Business Intelligence Jobs in Texas (NOW HIRING)

Learfield

Business Intelligence Engineer

Dallas, TX

$100K - $120K/yr

Paciolan is seeking a Business Intelligence Engineer to join our Product Engineering team. This is ... Life Insurance and Other Insurance Plans, Flexible Paid Time Off (minimum 10+ days annually ...

Paciolan

Business Intelligence Engineer

Dallas, TX · On-site

$100K - $120K/yr

Paciolan is seeking a Business Intelligence Engineer to join our Product Engineering team. This is ... Life Insurance and Other Insurance Plans, Flexible Paid Time Off (minimum 10+ days annually ...

AWL

Business Intelligence Analyst

Austin, TX · Remote

As our Business Intelligence Analyst, you will turn raw data into the decisions that move AWL ... Simply put, we help our customers acquire customers for the US insurance industry. Our amazing team ...

New

AWL

Business Intelligence Analyst

Austin, TX · On-site

As our Business Intelligence Analyst, you will turn raw data into the decisions that move AWL ... Simply put, we help our customers acquire customers for the US insurance industry. Our amazing team ...

New

McLane Company

Sr Business Intelligence Engineer

Austin, TX · Hybrid

$51 - $66/hr

Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs ... Business Intelligence, Data Engineering, or Analytics roles. * Strong experience with BI tools:

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Insurance Business Intelligence information

What is insurance business intelligence?

Insurance Business Intelligence (BI) refers to the use of technology, data analysis, and reporting tools to help insurance companies make informed business decisions. BI professionals in the insurance sector gather and analyze large volumes of data related to policies, claims, customer behavior, and market trends. Their insights help organizations optimize processes, identify risks, improve customer service, and drive profitability. By leveraging BI, insurance firms can gain a competitive edge and adapt quickly to changing market conditions.

What are the key skills and qualifications needed to thrive as an insurance business intelligence professional?

To thrive as an Insurance Business Intelligence professional, you need strong analytical skills, industry knowledge, and a background in statistics or data analysis, often supported by a relevant degree. Familiarity with BI tools such as Tableau, Power BI, SQL databases, and knowledge of insurance-specific software or certifications like CPCU are typically required. Excellent problem-solving, communication, and collaboration skills help you translate complex data into actionable insights for stakeholders. These competencies are crucial for driving data-driven decision-making and optimizing business performance in the competitive insurance sector.

How does an insurance business intelligence professional typically collaborate with underwriters, claims analysts, and other departments within an insurance company?

Insurance Business Intelligence professionals regularly work cross-functionally with teams such as underwriting, claims, and actuarial departments. They gather requirements, analyze data trends, and present actionable insights that support risk assessment, pricing strategies, and claims optimization. Effective communication is key, as BI professionals must translate complex data findings into clear recommendations for non-technical stakeholders. This collaboration helps ensure that data-driven decisions are integrated into core business processes, driving both operational efficiency and improved customer outcomes.

What is the difference between Insurance Business Intelligence vs Insurance Data Analyst?

AspectInsurance Business IntelligenceInsurance Data Analyst
Required CredentialsBachelor's in Data Science, Business Analytics, or related fields; often certifications in BI toolsBachelor's in Statistics, Data Analysis, or related fields; similar certifications may apply
Work EnvironmentTypically in corporate offices, focusing on BI tools and dashboardsOften in analytics teams, working with data sets and reporting tools
Employer & Industry UsageUsed across insurance companies for strategic insights and reportingUsed for analyzing insurance data, claims, and underwriting trends

Insurance Business Intelligence professionals focus on developing dashboards, reports, and strategic insights using BI tools, while Insurance Data Analysts analyze raw data to identify trends and support decision-making. Both roles require similar skills and certifications but differ in their primary focus and tools used.

Is insurance business intelligence a high paying job?

Insurance Business Intelligence roles are generally considered well-paying within the insurance industry, especially for professionals with strong analytical skills, experience with data tools, and industry knowledge. Salaries can vary based on experience, location, and company size but tend to be above average compared to other business analyst positions.

What are popular job titles related to Insurance Business Intelligence jobs in Texas?

For Insurance Business Intelligence jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Insurance Business Intelligence jobs in Texas look for?

The top searched job categories for Insurance Business Intelligence jobs in Texas are:

What cities in Texas are hiring for Insurance Business Intelligence jobs?

Cities in Texas with the most Insurance Business Intelligence job openings:

Insurance Business Intelligence jobs near you
Infographic showing various Insurance Business Intelligence job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Business Intelligence Engineer

Learfield

Dallas, TX

$100K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 hours ago

Learfield rating

8.4

Company rating: 8.4 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

7th of 52 rated marketing agency

Job description

Paciolan is seeking a Business Intelligence Engineer to join our Product Engineering team. This is an exciting opportunity for someone who thrives at the intersection of live events, analytics, and modern cloud data platforms. In this role, you'll have end-to-end ownership of the data products that empower our clients to make timely, high-impact business decisions while helping shape the future of our analytics capabilities.

Essential Duties & Responsibilities:

  • Build and scale business intelligence as a service, delivering insights that create measurable value for clients
  • Design, own, and evolve end-to-end data solutions across data engineering, analytics, and data science
  • Develop and maintain dynamic dashboards using Fundraising, Ticketing, Marketing, and other complex data sources
  • Lead client onboarding and act as a long-term analytics partner to participating organizations
  • Ensure data accuracy and reliability through rigorous validation, monitoring, and root-cause analysis
  • Create data models and structures that power trusted, scalable analytics
  • Partner closely with Product, UI/UX, Customer Success, and fellow data engineers to deliver intuitive, high-impact solutions
  • Proactively propose new analyses and help shape how insights are shared across clients and internal teams

Minimum Qualifications:

  • 4+ years of work experience delivering business intelligence or analytics to stakeholders across teams or organizations
  • Demonstrated experience in the ticketing/live events/sports space
  • Strong SQL skills and hands-on experience with cloud data warehouses (Snowflake, AWS, or similar)
  • Experience building dashboards and reports using modern data visualization tools (Tableau preferred)
  • A curiosity-driven mindset-you ask "why," connect patterns, and turn data into clear, compelling stories
  • A passion for building analytics that are not only accurate, but genuinely useful and actionable
  • Comfort giving and receiving feedback, and a willingness to stretch beyond your comfort zone

Preferred Qualifications:

  • Experience with Python or R for predictive, statistical, or categorical modeling
  • Familiarity with live entertainment, college athletics, or fundraising data
  • End-to-end data engineering experience (source warehouse visualization/export)
  • Experience with ETL tools and modern data stack patterns
  • Deep familiarity with Snowflake or similar cloud data platforms
  • Exposure to AI-driven analytics use cases (e.g., forecasting, segmentation, anomaly detection, or AI-assisted insights), and interest in building data foundations that support future AI capabilities

Pay Transparency:

The approximate national base pay range for this position is $100,000 to $120,000. Please note that this is a good faith estimate for the position at the time of posting. Individuals may also be eligible for an annual discretionary bonus and/or sales compensation based on individual and company performance. Placement on the range may vary based on factors including but not limited to job-related knowledge, skills, and experience, and geographic location. The pay rate will comply with all minimum federal, state, and local wage/salary requirements.

Learfield offers a full spectrum of benefits for eligible employees including Medical, Dental, Vision, Health Savings Account, Life Insurance and Other Insurance Plans, Flexible Paid Time Off (minimum 10+ days annually), including Parental Leave, 20 Paid Holidays, 401(k) + Match, and Short/Long Term Disability. Leave benefits are consistent with state and local laws, including the Colorado Health Families and Workplaces Act.

Learfield is an Equal Opportunity Employer. We provide equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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