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Associate In Insurance Data Analytics Jobs in Pflugerville, TX

Minimum 10 years of experience in data analytics, business intelligence, or strategy, with ... Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term ...

Minimum 10 years of experience in data analytics, business intelligence, or strategy, with ... Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term ...

Data Analyst Location: Austin, TX (Flexible / Hybrid) Reporting to: Director, GTM About Hippo ... in business analytics across growth (GTM) and/or insurance domains such as retention, underwriting ...

Data Analyst Location: Austin, TX (Flexible / Hybrid) Reporting to: Director, GTM About Hippo ... in business analytics across growth (GTM) and/or insurance domains such as retention, underwriting ...

Data & Analytics Engineer, AiDP

Austin, TX

$113K - $136K/yr

In this role, you will develop robust data pipelines and analytics systems that enable AI agents, autonomous workflows, and data-driven insights-directly impacting how software is built at scale ...

Data & Analytics Engineer, AiDP

Austin, TX · On-site

$113K - $136K/yr

In this role, you will develop robust data pipelines and analytics systems that enable AI agents, autonomous workflows, and data-driven insights-directly impacting how software is built at scale.

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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 13, 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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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.
Staff Data Analytics

Full-time

Posted 13 days ago


Advanced Micro Devices rating

8.4

Company rating: 8.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

25th of 142 rated electronics manufacturers


Job description


WHAT YOU DO AT AMD CHANGES EVERYTHING 

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond.  Together, we advance your career.  



THE ROLE: 

This role is a high-visibility position within AMD’s Finance organization, with an expanded scope to accelerate AI adoption across the Global Sales & Marketing finance team. The role blends strong data analytics skills combined with financial acumen to drive advanced analytics, automation, and adoption of modern AI-enabled tools. The position reports directly to the Sr. Finance Manager.

This role reviews complex financial and operational data and performs strategic analyses and reporting (i.e. profit and loss, balance sheet, cash flow, pricing, rebates) with the goal of influencing business outcomes and driving cross-business initiatives. In addition, the role will help lead the team’s AI movement by identifying high-value use cases, driving process improvements and standard work, building scalable automation, and delivering group training and ongoing enablement so the organization can adopt AI responsibly.

THE PERSON: 

The ideal candidate has a bias for action, a high sense of collaboration, and the ability to make clear recommendations in a fast-paced environment. We are looking for a teammate who brings strong technical capability combined with finance fundamentals to modernize reporting and analysis through data, automation, and AI. The successful candidate will take ownership of outcomes, drive process improvements, and help elevate team capability by designing and delivering group AI training, coaching peers to drive process improvements and help elevate overall team capability.

KEY RESPONSIBILITIES: 

  • Serve as the Global Sales finance data expert supporting Global Channel Sales Organization.
  • Perform month-end and quarter end close activities, support reporting and consolidation activities related to pricing/rebates.
  • Identify, prioritize, and deliver AI/automation use cases that solve business problems; drive efficiency by automating, simplifying, or eliminating routine work.
  • Plan and deliver recurring group training (and office hours) on AI-enabled workflows for finance, including best practices, validation techniques, and reusable examples/templates.
  • Champion AI adoption across the group by sharing best practices, partnering with stakeholders on process improvements, and measuring impact (time saved, quality improvements, cycle-time reduction).
  • Accurately forecast pricing discounts and provide business insights and variance analysis.
  • Perform scenario analysis & planning to be used for decision making and approvals (e.g. pricing deals, revenue & gross margin analysis, etc.). 
  • Analyze financial impact of customer deals and communicate impact across functional teams to ensure financial goals are met.
  • Drive continuous improvements in execution by collaborating with Corporate Financial Planning, Accounting, Regional Finance, Legal, and Business Unit Operations 
  • Take full ownership of and accountability for ongoing reports providing validation and supporting documentation to business partners as required. 
  • Assist in providing valuable management decision support, driving key business goals, identifying major trends and corresponding business issues. 

PREFERRED QUALIFICATIONS: 

Technical / Analytics

  • Advanced Excel skills, including data modeling and process automation.
  • Strong experience querying and preprocessing data from structured and/or unstructured sources using SQL (or similar query languages).
  • Technical skills in one or more scripting languages (such as Python, Java, etc.) for statistical analysis and/or building and scoring AI/ML models.
  • Preferred knowledge of Power BI or Tableau (or equivalent visualization tools).
  • Passion for applying AI to drive process improvements, standardize reporting, and enable broader team productivity (including helping with AI training/enablement).
  • Proven experience writing code that is easy to follow and well documented; comments added where necessary to explain logic (high code transparency).

Finance / Business

  • Experience in Finance/Accounting related roles such as Corporate FP&A, Sales Finance, Strategy Finance, Marketing Finance, Business Finance, Accounting, and/or related consulting experience.
  • Strong understanding of US GAAP principles and revenue recognition standards under ASC 606.
  • Ability to translate between technical and finance stakeholders, turning complex data and tools into actionable business recommendations.
  • Self-starter with excellent interpersonal communication, teaming, and problem-solving skills.
  • Robust analytical skills required and the ability to turn sophisticated data and concepts into valuable information to present in a simple/understandable manner. 

ACADEMIC CREDENTIALS:

  • Bachelor’s or Master’s degree in Finance, Accounting, MIS, Computer Science, or related field preferred

#LI-CJ2

#LI-HYBRID



Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Qualifications:

Benefits offered are described:  AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.   We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position.  AMD’s “Responsible AI Policy” is available here.

 

This posting is for an existing vacancy.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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