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Associate In Insurance Data Analytics Jobs in Pflugerville, TX

Dabella

Data Analyst

Austin, TX

$75K/yr

Bachelor's degree in Data Analytics, Business Intelligence, Data Science, Computer Science ... Medical, Dental, Vision, HSA, Life Insurance, Disability Coverage, and Pet Insurance * 401(k) ...

Ci

Data Science and Analytics Manager

Austin, TX

Qualifications * 4-6+ years of experience in data science or analytics roles. * 2-3+ years of ... Employer paid Dental, Vision & Life and AD&D Insurance * Employer paid Short-term & Long-term ...

Ci

Data Analyst

Austin, TX

Qualifications * 2-3+ years of experience in data science or analytics roles. * Background in ... Employer paid Dental, Vision & Life and AD&D Insurance * Employer paid Short-term & Long-term ...

innovitusa

Data Analyst

Austin, TX · On-site

Translate complex data requests and operational requirements into clear, actionable queries for AI against complex analytics data sources. * Explain technical findings and data limitations in simple ...

New

Burlebo

Data and Analytics Engineer

Austin, TX · On-site

$113K - $136K/yr

BURLEBO is a growing brand in men's outdoor clothing, dedicated to providing high-quality, durable ... Lead Data & Analytics Engineer Overview We're looking for an experienced, proactive data ...

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All JobsAssociate In Insurance Data Analytics JobsAssociate In Insurance Data Analytics Jobs in Pflugerville, TX

Associate In Insurance Data Analytics information

See Pflugerville, TX salary details

$3.1K

$5.9K

$8.5K

How much do associate in insurance data analytics jobs pay per month?

As of Jul 14, 2026, the average monthly pay for associate in insurance data analytics in Pflugerville, TX is $5,917.25, according to ZipRecruiter salary data. Most workers in this role earn between $5,366.67 and $6,308.33 per month, depending on experience, location, and employer.

What are some common challenges faced by an Associate in Insurance Data Analytics, and how can they be addressed?

Associates in Insurance Data Analytics often encounter challenges such as working with large, complex datasets and ensuring data accuracy for reliable analysis. Additionally, interpreting data in the context of insurance policies and risk models requires both technical and industry-specific knowledge. Collaborating closely with underwriters, actuaries, and claims teams can help bridge knowledge gaps and enhance data-driven decision-making. Staying up-to-date with analytical tools and best practices can also help overcome these challenges and support career growth.

Is 40 too late for data science?

For an Associate in Insurance Data Analytics, age is not a barrier to entering data science. Many professionals successfully transition into data analytics roles later in their careers by acquiring relevant skills such as programming, statistics, and data visualization, often through online courses or certifications. Experience and continuous learning are valued more than age in this field.

How much does an insurance analyst make?

An insurance analyst typically earns between $55,000 and $85,000 annually, depending on experience, location, and the complexity of data analysis tasks. Entry-level roles may start lower, while experienced analysts with advanced skills in data tools like SQL or Python can earn higher salaries.

What is the difference between Associate In Insurance Data Analytics vs Insurance Data Analyst?

AspectAssociate In Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's degree in data science, statistics, or related field; certifications like CAP or CPCU beneficialBachelor's degree in data analysis, statistics, or related field; certifications like CAP or CPCU beneficial
Work EnvironmentEntry-level role in insurance companies or consulting firms, focusing on data collection and basic analysisMid-level role in insurance companies, analyzing data to support underwriting, claims, and risk assessment
Employer & Industry UsageCommonly used in insurance firms, agencies, and consulting firms for data support rolesUsed within insurance companies for data-driven decision making and reporting

The Associate In Insurance Data Analytics and Insurance Data Analyst roles share similar educational backgrounds and industry usage. However, the Associate role is typically entry-level, focusing on data collection and basic analysis, while the Insurance Data Analyst often has more experience and handles more complex data analysis tasks to support business decisions.

What are the key skills and qualifications needed to thrive as an Associate in Insurance Data Analytics, and why are they important?

To thrive as an Associate in Insurance Data Analytics, you need strong analytical skills, proficiency in statistics, and a background in insurance or finance, often supported by a relevant degree. Familiarity with data analysis tools like SQL, Python, R, and insurance-specific platforms or certifications such as the CPCU or AIDA is highly valued. Attention to detail, problem-solving abilities, and effective communication are critical soft skills for interpreting data and conveying insights to stakeholders. These skills are essential for transforming complex insurance data into actionable strategies that drive business decisions and risk management.

What are Associate In Insurance Data Analytics?

An Associate in Insurance Data Analytics is a professional who specializes in analyzing data within the insurance industry to help companies make informed decisions. They use statistical methods, data modeling, and business intelligence tools to derive insights about risk, customer behavior, and market trends. This role often requires knowledge of insurance processes, as well as technical skills in data analysis and interpretation. They play a key part in helping insurers optimize underwriting, pricing, claims, and customer experience.

What can you do with an associate's in data analytics?

An associate's in data analytics prepares individuals for roles such as data analyst or insurance data analyst, where they analyze data sets to identify trends and support decision-making. These roles often involve using tools like Excel, SQL, or data visualization software and may require understanding insurance industry data and basic statistical skills.

What does a data analyst do in insurance?

A data analyst in insurance collects, processes, and analyzes data related to policies, claims, and customer information to identify trends and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and improve risk assessment, pricing, and fraud detection.
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Associate In Insurance Data Analytics jobs near you
Infographic showing various Associate In Insurance Data Analytics job openings in Pflugerville, TX as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $71,007 per year, or $34.1 per hour.
Data Analyst

Data Analyst

Dabella

Austin, TX

$75K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago

DaBella rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

16th of 50 rated home improvement suppliers and fitters

Job description

THIS ROLE IS FULLY ON-SITE IN AUSTIN TEXAS

Job Overview

DaBella is one of the fastest-growing home improvement companies in the country. We are seeking a Data Analyst to support business growth through metrics, reporting, and data-driven insights. This role supports leadership and cross-functional teams by delivering accurate reporting, trend analysis, and scalable analytics solutions.

Location : On-Site, Austin, TX

Full Time: Monday - Friday, 8am - 5pm

Compensation: $75,000 - 90,000K

Job Responsibilities

  • Identify, compile, analyze, and deliver data and reports needed across the organization
  • Collect, analyze, and interpret internal and external data to support business decisions
  • Develop, maintain, and manage dashboards, reporting, and analytics using Tableau, Power BI, or similar BI tools
  • Create reporting templates and dashboards accessible to multiple levels of staff
  • Conduct basic and moderately complex analyses to identify trends, patterns, and insights
  • Translate analytical findings into clear, actionable reports for management
  • Collaborate with cross-functional teams to understand data needs and reporting requirements
  • Assist with the development of business requirements and specifications for data projects
  • Monitor, audit, and validate data to ensure accuracy and integrity
  • Support data governance, quality initiatives, and continuous improvement of reporting processes
  • Provide support and guidance to junior analysts or end users as needed

Qualifications and Skills

  • Bachelor's degree in Data Analytics, Business Intelligence, Data Science, Computer Science, Mathematics, Statistics, or a related field
  • 2-5 years of experience in data analysis, reporting, or business intelligence
  • Proven experience with Tableau, Power BI, or similar BI/data visualization tools
  • Proficiency in Microsoft Excel and familiarity with other data analysis tools
  • Working knowledge of SQL and data querying
  • Experience with Salesforce or other CRM systems preferred
  • Understanding of data analysis techniques, dashboards, modeling, querying, and workflows
  • Strong analytical skills with the ability to work with large data sets and draw logical conclusions
  • Strong attention to detail to ensure data accuracy and quality
  • Solid understanding of data sources, data organization, and reporting best practices
  • Ability to present data clearly to non-technical stakeholders
  • Strong verbal and written communication skills
  • Ability to work independently and collaboratively within a team
  • Ability to take direction and respond effectively to constructive feedback

Benefits & Perks:

  • Medical, Dental, Vision, HSA, Life Insurance, Disability Coverage, and Pet Insurance
  • 401(k), Employee Assistance Program (EAP), UHC Rewards, Rally Health, and One Pass Select
  • Paid professional development, leadership training, and relocation opportunities nationwide
  • 80 hours of PTO, 6 paid holidays, and Volunteer Paid Time Off (VPTO)

For more information, please visit DaBella.us

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