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Assistant Insurance Data Analytics Jobs in Austin, TX

Data Analytics Manager WORKSITE: 9600 Great Hills Trail, Austin, TX 78759 JOB DUTIES: Responsible ... DocSite/SharePoint: Assist with deployment, oversee structure and upkeep, ensure document accuracy ...

Data Analytics Manager WORKSITE: 9600 Great Hills Trail, Austin, TX 78759 JOB DUTIES: Responsible ... DocSite/SharePoint: Assist with deployment, oversee structure and upkeep, ensure document accuracy ...

Data Analyst

Austin, TX · On-site

$75K/yr

Develop, maintain, and manage dashboards, reporting, and analytics using Tableau, Power BI, or ... * Assist with the development of business requirements and specifications for data projects

... analytics needs. -Interpret results to identify significant differences in data. -Assist in ... Medical Insurance -Paid time off, including time for vacation, sick and family care leave ...

Ad-hoc analytics and insights . Promptly address ad-hoc analysis requests with clear, well ... Employer paid Dental, Vision & Life and AD&D Insurance * Employer paid Short-term & Long-term ...

Partner with stakeholders across GTM and insurance functions to inform data-driven strategies and operational decisions. * Support retention and lifecycle analytics, including churn drivers, LTV ...

Data Analyst (Austin)

Austin, TX · On-site

$5.1K - $5.4K/mo

... -Assist in developing methods for mitigating data issues and deploy those methods to correct ... YOU QUALIFY WITH: -One year of full-time experience in data science, business analytics, computer ...

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Assistant Insurance Data Analytics information

See Austin, TX salary details

$13

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

As of Aug 31, 2026, the average hourly pay for assistant insurance data analytics in Austin, TX is $20.16, according to ZipRecruiter salary data. Most workers in this role earn between $16.68 and $22.88 per hour, depending on experience, location, and employer.

What is the difference between Assistant Insurance Data Analytics vs Insurance Data Analyst?

AspectAssistant Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsTypically an associate degree or relevant certificationBachelor's degree in data analysis, statistics, or related field
Work EnvironmentSupportive team, entry-level tasks, supervisedMore independent analysis, project ownership
Employer & Industry UsageInsurance companies, supporting rolesInsurance firms, leading data projects
Common Search & ComparisonEntry-level support roleAdvanced data analysis position

In summary, Assistant Insurance Data Analytics roles are entry-level positions supporting data teams, often requiring less experience and focusing on assisting with data tasks. Insurance Data Analysts typically have more experience, handle complex analysis independently, and lead projects within insurance companies.

What are the most commonly searched types of Insurance Data Analytics jobs in Austin, TX?

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

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

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

VP/Delivery Lead - Banking, Financial Services & Insurance (Data, Analytics, AI & Integration)

Persistent Systems

Austin, TX • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

About Persistent:



We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem


Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 24 sequential quarters of growth with $436.5M in Q4 FY26 revenue, up 17.4% Y-o-Y growth. Our 26,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We won the 2025 ISG Star of Excellence™ Award for AI and Data Excellence and were named a Leader in the Everest Group Talent Readiness for Next-generation Data, Analytics and AI Services PEAK Matrix® Assessment 2025.


Role: Vice President/Delivery Lead– Banking, Financial Services & Insurance (Data, Analytics, AI & Integration)

Location: Austin, Texas

Experience: 18–25 Years


Role Overview

Persistent is seeking a seasoned Delivery Lead to lead our Banking, Financial Services & Insurance (BFSI) Data, Analytics, AI & Integration practice. This executive will drive strategic customer engagements, large-scale cloud and AI transformation programs, delivery excellence, and business growth across key BFSI accounts.


Key Responsibilities

  • Lead end-to-end delivery for strateg3ic BFSI Data, Analytics, AI, and Integration engagements.
  • Drive enterprise data modernization and legacy-to-cloud transformations using modern data platforms.
  • Own delivery governance, customer satisfaction, financial performance, and operational excellence.
  • Build trusted advisor relationships with CIOs, CDOs, CTOs, and business stakeholders.
  • Partner with Sales and Consulting to shape large deals, support pursuits, and drive account growth.
  • Lead and mentor global teams of delivery managers, architects, and engineering leaders.
  • Foster an engineering-first culture focused on innovation, automation, DataOps/MLOps, AI adoption, and reusable accelerators.
  • Drive continuous improvement, talent development, and delivery best practices across the practice.


Required Experience

  • 18–25 years of experience in IT Services, Digital Engineering, or Consulting.
  • Bachelor's degree in Engineering, Computer Science, or a related technical discipline from a reputed institution; Master's degree preferred.
  • Proven success leading large-scale Data, Analytics, AI, and Integration programs for Banking, Financial Services & Insurance (BFSI) clients.
  • Strong experience managing multi-million-dollar delivery portfolios and distributed global teams.
  • Demonstrated ability to drive customer success, operational excellence, and profitable growth.


Technical & Domain Expertise

  • Modern Data Platforms: Snowflake, Databricks, Microsoft Fabric, Azure Synapse.
  • Cloud Platforms: Azure, AWS, and/or Google Cloud.
  • Data Engineering: Spark, Python, SQL, ETL/ELT, Lakehouse architecture, DataOps.
  • AI & Analytics: Machine Learning, Generative AI, LLM-enabled solutions, Power BI, Tableau.
  • Integration: API-led architectures, MuleSoft, Kafka, Azure Integration Services.
  • Strong understanding of BFSI data ecosystems, financial services architecture, regulatory requirements, risk management, security, governance, and compliance (e.g., PCI DSS, SOX, AML/KYC, BCBS 239, GDPR, or equivalent).


Ideal Candidate

  • Engineering-led delivery executive with a passion for solving complex business problems through technology.
  • Proven experience leading enterprise data transformation to cloud-native platforms such as Snowflake and Databricks.
  • Strong executive presence with the ability to influence C-suite stakeholders and build long-term strategic partnerships.
  • Growth-oriented leader with a track record of scaling teams, developing talent, and expanding strategic client relationships.
  • Passionate about leveraging AI and modern engineering practices to deliver measurable business outcomes for Banking, Financial Services & Insurance (BFSI) clients.


Success Metrics

  • Customer satisfaction (CSAT/NPS)
  • Delivery predictability and quality
  • Revenue growth and account expansion
  • Gross margin improvement
  • Successful cloud and AI transformation outcomes
  • Team engagement and retention
  • Reusable engineering assets and automation adoption
  • Delivery governance and compliance



Our company fosters a values-driven and people-centric work environment that enables our employees to:


  • Accelerate growth, both professionally and personally.
  • Impact the world in powerful, positive ways, using the latest technologies.
  • Enjoy collaborative innovation, with diversity and work-life wellbeing at the core.
  • Unlock global opportunities to work and learn with the industry’s best.