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Remote Insurance Data Analytics Jobs in Austin, TX

... remote hire Responsibilities * Own prioritization and project management for the data team ... Architect and implement AI-powered analysis workflows activating our data in LLMs and Hex to enable ...

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Remote Insurance Sales Associate

Austin, TX ยท Remote

$50K - $120K/yr

Remote Insurance Sales Associate - Globe Life, The American Income Life Division Do you have a ... Associates use a needs-based benefit analysis program to complete applications for our clients ...

Data Quality Control: * Partner with engineers to validate data accuracy, integrity, and ... Analytics. Benefits Work environment * Competitive compensation and benefits * Position is remote ...

Summary: This position offers hands-on experience working with real insurance data and analytics ... We are open to hiring remote in the US. Essential Duties and Responsibilities: * Manage multiple ...

We are looking for a Data Analyst to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude and creativity ...

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Manage our Analytics Pipeline * Build custom dashboards using our Analytics Tech Stack WHAT SUCCESS ...

ABOUT THE POSITION As Truvani's Junior eCommerce Data Analyst, you will leverage analytics ... Manage our Analytics Pipeline * Build custom dashboards using our Analytics Tech Stack WHAT SUCCESS ...

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Remote Insurance Data Analytics information

See Austin, TX salary details

$24

$54

$93

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

As of Jun 16, 2026, the average hourly pay for remote insurance data analytics in Austin, TX is $54.27, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $61.49 per hour, depending on experience, location, and employer.

What is the difference between Remote Insurance Data Analytics vs Remote Insurance Underwriter?

AspectRemote Insurance Data AnalyticsRemote Insurance Underwriter
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications in data analysis or analyticsBachelor's in Business, Finance, or related; often requires insurance licensing or certifications
Work EnvironmentPrimarily data analysis, modeling, and reporting; often collaborative with IT and actuarial teamsAssessing risks, reviewing applications, making underwriting decisions; involves communication with agents and clients
Employer & Industry UsageUsed across insurance companies, reinsurers, and brokers for data-driven decision makingUsed by insurance carriers to evaluate and approve policies

Remote Insurance Data Analytics focuses on analyzing insurance data to inform business decisions, while Remote Insurance Underwriters evaluate individual insurance applications to determine coverage. Both roles are essential in the insurance industry but differ in daily tasks and required skills.

What is remote insurance data analytics?

Remote insurance data analytics is the practice of analyzing insurance-related data, such as claims, risk assessments, and customer information, from a location outside of a traditional office setting. Professionals in this field use statistical methods, data mining, and machine learning tools to identify patterns, detect fraud, and help insurance companies make data-driven decisions. This remote role often requires proficiency in data analysis tools like SQL, Python, or R, and a strong understanding of insurance industry concepts. Remote insurance data analysts collaborate with teams virtually to provide insights and support business strategies, making it a flexible career option.

How do Remote Insurance Data Analytics professionals typically collaborate with cross-functional teams to drive business insights?

Remote Insurance Data Analytics professionals often work closely with underwriters, actuaries, claims managers, and IT teams to gather data requirements, interpret findings, and implement data-driven solutions. Collaboration usually happens through virtual meetings, collaborative dashboards, and project management tools to ensure clear communication and alignment on objectives. This cross-functional approach helps identify trends, optimize risk assessments, and support strategic decision-making within the organization. Building strong relationships with team members across departments is key to successfully translating analytical results into actionable business strategies.

What are the key skills and qualifications needed to thrive as a Remote Insurance Data Analytics professional, and why are they important?

To excel in Remote Insurance Data Analytics, you need strong analytical skills, a background in statistics or mathematics, and typically a degree in data science, actuarial science, or a related field. Familiarity with data analysis tools like SQL, Python, R, and specialized insurance analytics platforms such as SAS or Tableau, as well as relevant certifications, is highly valuable. Attention to detail, problem-solving abilities, and effective communication set candidates apart in this role. These skills are crucial for transforming complex insurance data into actionable insights that drive informed business decisions and risk assessments.
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 are popular job titles related to Remote Insurance Data Analytics jobs in Austin, TX? For Remote Insurance Data Analytics jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Remote Insurance Data Analytics jobs in Austin, TX look for? The top searched job categories for Remote Insurance Data Analytics jobs in Austin, TX are:
What cities near Austin, TX are hiring for Remote Insurance Data Analytics jobs? Cities near Austin, TX with the most Remote Insurance Data Analytics job openings:
Infographic showing various Remote Insurance Data Analytics job openings in Austin, TX as of June 2026, with employment types broken down into 79% Full Time, 11% Part Time, and 10% Contract. Highlights an 22% In-person, and 78% Remote job distribution, with an average salary of $112,872 per year, or $54.3 per hour.
Data & Analytics Manager

Data & Analytics Manager

Huckberry

Austin, TX โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

Huckberry is built on better data, and we need a lead architect to man the controls. As our Data Manager, you'll sit at the intersection of our technical infrastructure and our ambitious business goals, leading a team of engineers while staying deep enough in the stack to ship code yourself. You'll partner directly with the VP of Technology to evolve our architecture, serving as the "connective tissue" that translates stakeholder needs into high-impact projects.ย 

The goal is simple but high-stakes: build out our semantic layer and AI-powered analysis capabilities so that every team from Marketing to Merch can leverage LLMs and tools like Hex to get answers at trailspeed. You aren't just managing pipelines; you're shaping how this entire organization interacts with data.

This role is based out of our headquarters in Austin, TX; relocation support will be provided to a remote hire

Responsibilities
  • Own prioritization and project management for the data team, balancing competing stakeholder requests with strategic data initiatives
  • Execute hands on data engineering work: building and maintaining ELT pipelines, data models, and transformations across the stack (dbt, BigQuery, Fivetran/Stitch, Rudderstack)
  • Partner with the VP of Technology to maintain, optimize, and evolve Huckberry's data architecture, including our warehouse (BigQuery), ingestion layer (Fivetran/Stitch, Rudderstack), ML platform (Databricks), and activation tools (Hightouch, Eppo, Hex)
  • Build out and maintain Huckberry's semantic layer, defining consistent business logic and metrics that can be consumed by BI tools, LLMs, and self-serve analysis platforms
  • Architect and implement AI-powered analysis workflows activating our data in LLMs and Hex to enable natural-language querying and automated insight generation across the business
  • Expand data access and literacy across the company, reducing bottlenecks on the data team by enabling self-serve analytics for Marketing, Merchandising, Finance, and Product teams
  • Ensure data quality, reliability, and documentation across all pipelines and models; establish and enforce testing, monitoring, and alerting standards
  • Manage and mentor the data team, providing clear direction, code review, and performance feedback
  • Evaluate and recommend new tools, vendors, or architectural changes to improve the data platform's capabilities and cost-efficiency

Requirements

  • 5+ years of experience in data engineering, analytics engineering, or a related technical data role
  • Prior experience managing or leading a team, whether data-specific or cross-functional, internal or external
  • Strong proficiency with SQL and at least one programming language (Python preferred)
  • Hands on experience with modern data stack tools such as dbt, BigQuery (or Snowflake/Redshift), and Fivetran or similar ingestion platforms
  • Familiarity with BI/reporting platforms (Looker, Hex, or equivalent) and a point of view on enabling self-serve analytics
  • Track record of balancing technical execution with project management and stakeholder communication
  • Comfort working in a lean, fast moving environment where you'll alternate between strategic planning and hands on building
Nice to Have
  • Experience with semantic layer tooling (dbt Semantic Layer, Cube, Looker's modeling layer) or defining governed metrics and business logic as reusable definitions
  • Exposure to applying LLMs or AI tooling to data workflows, natural-language querying, automated reporting, or similar
  • Experience with a CDP or reverse ETL tool (e.g., Hightouch, Census)
  • E-commerce or DTC retail experience

Benefits

  • Medical, Dental, Vision benefits
  • 401(k) and employer match
  • Annual Huckberry shopping credits
  • Paid Sabbatical leave at 4 years
  • Summer Fridays
  • Weekly catered lunch
  • Monthly happy hours
  • Mental health resources
  • Paid Parental Leave
  • Paid Vacation & Paid Sick Leave
  • Volunteer Time Off
  • Generous employee discount
  • WFH flexibility
  • Annual offsites
Company Description

Huckberry is the ultimate one-stop men's shop for discovering the best gear and threads. Over a million guys trust us as their go-to resource for their closet, adventure inspiration, and a whole lot more. We were named one of IAB's most disruptive consumer brands, and we've collaborated with everyone from Matthew McConaughey and Leon Bridges to brands like Lululemon, Tacoma, and Coors. We look forward to meeting you.

Want to get to know us better? Check out our:

  • Journal: http://huckberry.com/blog
  • Youtube: https://www.youtube.com/@Huckberryco
  • Instagram: http://instagram.com/huckberry

Huckberry encourages candidates of all different backgrounds and identities to apply. We are always eager to further diversify our company, and we are committed to providing an inclusive environment of mutual respect where all can flourish. All of our employment decisions are based solely on merit and business need.