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Assistant Insurance Data Analytics Jobs in Leander, TX

Atlas Energy Solutions

Senior Risk Analyst

Austin, TX · On-site +1

Provide leadership visibility into exposure trends, renewal status, claims/loss trends, insurance program performance, cost drivers, and data-quality issues. * Translate analytics into operational ...

Atlas Energy Solutions

Senior Risk Analyst

Austin, TX · On-site +1

Provide leadership visibility into exposure trends, renewal status, claims/loss trends, insurance program performance, cost drivers, and data-quality issues. * Translate analytics into operational ...

Atlas Energy Solutions

Senior Risk Analyst

Austin, TX · On-site

Provide leadership visibility into exposure trends, renewal status, claims/loss trends, insurance program performance, cost drivers, and data-quality issues. * Translate analytics into operational ...

Meds

Entry Level Data Analyst

Austin, TX · On-site

Advanced Analytics: Move beyond descriptive stats to conduct deep-dive analyses on customer ... Insurance. * 401K with company match. * Paid time off and company-paid holidays * Enjoy free daily ...

Meds

Entry Level Data Analyst

Austin, TX · On-site

Advanced Analytics: Move beyond descriptive stats to conduct deep-dive analyses on customer ... Insurance. * 401K with company match. * Paid time off and company-paid holidays * Enjoy free daily ...

Meds

Entry Level Data Analyst

Austin, TX

Advanced Analytics: Move beyond descriptive stats to conduct deep-dive analyses on customer ... Insurance. * 401K with company match. * Paid time off and company-paid holidays * Enjoy free daily ...

Safelease Inc

Data Analyst

Austin, TX · Hybrid

Most insurance companies either distribute products or bear the risk -- we do both. We back our ... About The Role We're looking for an Analytics Engineer / Data Analyst to unlock the value of our ...

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Assistant Insurance Data Analytics information

See Leander, TX salary details

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

As of Aug 15, 2026, the average hourly pay for assistant insurance data analytics in Leander, TX is $19.44, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $22.07 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 does an assistant insurance data analytics do in insurance?

An assistant insurance data analyst supports data collection, cleaning, and analysis to help assess risk, determine pricing, and improve underwriting processes. They often use tools like Excel, SQL, or data visualization software and work closely with underwriters and actuaries to interpret data insights for decision-making.

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

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

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

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

Assistant Insurance Data Analytics jobs near you

Data Analyst

SafeLease Insurance Services LLC

Austin, TX • On-site

Full-time

Medical, PTO

Re-posted 24 days ago

Job description

About SafeLease
At SafeLease, we're rethinking how P&C insurance is sold in an age of technological change. We believe the industry's biggest inefficiencies aren't technical problems - they're structural ones. And we're building the team to tackle them.
SafeLease is a profitable insurance business that designs, underwrites, and distributes specialty coverage for commercial property owners and their tenants. Most insurance companies either distribute products or bear the risk - we do both. We back our policies with our own capital, which means we control the full stack: product design, tech, and the speed at which we move. That end-to-end ownership lets us offer customers real flexibility, saving time and money for more than 4,000 properties insured for billions in value nationwide.
We're a team of 70, growing over 100% annually, and we've done it without sacrificing profitability or culture. Here, you'll get high discretion and a wide aperture of problems to solve. We embrace the newest technologies, move fast together, and operate with the intensity of a small company where every person's work is visible. If you're looking for a place to sharpen your craft alongside people who take their work seriously, you'll fit right in.
This position requires working in the office 3 days per week in either New York City or Austin, TX. Applicants who are unable to work from either office location or are not willing to relocate will not be considered.
About The Role
We're looking for an Analytics Engineer / Data Analyst to unlock the value of our data assets by transforming and presenting data in a way that drives action. You'll be a key voice in turning data signals into business decisions.
This isn't a "pull reports on request" role. You'll build the infrastructure that makes reliable reporting possible, go deep on unexplained patterns, and proactively surface insights that change how the business operates. You'll work closely with pricing, sales ops, product, and leadership - translating between technical data realities and business questions that don't always arrive in clean form.
What You'll Do
Data Modeling & Transformation
  • Design, build, and maintain dbt models that transform raw source data into clean, well-documented, analytics-ready tables in Snowflake
  • Establish and enforce naming conventions, testing standards, and documentation practices across the dbt project
  • Own the semantic layer - ensuring consistent metric definitions that all stakeholders can trust

Reporting & Dashboards
  • Build and maintain executive and department-level dashboards that communicate performance clearly and without ambiguity
  • Partner with stakeholders across pricing/actuarial, sales, business development, and operations to understand reporting needs and translate them into durable, self-serve solutions
  • Distinguish between dashboards that inform decisions and dashboards that create noise - and build accordingly

Analysis & Insight
  • Conduct deep-dive analyses to explain anomalies, validate hypotheses, and uncover signals in messy data
  • Synthesize findings into clear, concise narratives - written, visual, and verbal - appropriate for technical and non-technical audiences
  • Proactively identify inflection points in the data and connect them to operational or market causes
  • Contribute to strategic decisions by framing tradeoffs with data, not just describing what happened

Data Quality & Governance
  • Instrument data quality checks and alerting so issues surface before they reach decision-makers
  • Maintain data dictionaries and lineage documentation that make the platform legible to the broader organization
  • Partner with engineering to ensure upstream source data lands in a state that's trustworthy and usable

Required
  • 3-5+ years of experience in analytics engineering, data analysis, or a hybrid role
  • Strong SQL - you write queries from scratch, optimize them, and know when a query is telling you something wrong
  • Hands-on experience with dbt (Core or Cloud) - model structure, ref/source, tests, documentation, incremental strategies
  • Proficiency with Snowflake or a comparable cloud data warehouse
  • Experience building dashboards in Metabase, Looker, Mode, Tableau, or similar
  • Proven ability to go from a vague business question to a structured analysis to a clear recommendation
  • Strong written communication - your documentation and stakeholder write-ups are as clear as your SQL

Strong Plus
  • Experience in insurance, fintech, or real estate data environments
  • Familiarity with property data, underwriting data, or policy/claims datasets
  • Python for data analysis (pandas, notebooks, scripting)
  • Exposure to data modeling patterns - star schema, slowly changing dimensions, wide tables - and when to use which
  • Experience working in a startup or early-stage data team where you had to build the foundation, not just extend it
What Success Looks Like
In your first 90 days, you've learned the data landscape, identified the highest-leverage gaps in our current modeling and reporting, and shipped your first set of dbt models and dashboards into production. Stakeholders know who to come to with data questions - and the answers they get are accurate and on time.
At six months, you've meaningfully improved data reliability and self-serve access across at least two business functions. You've led at least one significant deep-dive that influenced a real business decision.
At a year, you are the person who knows more about how SafeLease data works - end to end - than almost anyone else in the company. You're raising the bar for how we define, measure, and act on data, and you're doing it in a way that makes the whole team better.
Why SafeLease?
The tech: Our prospects convert fast because we're solving real problems and delivering serious value to commercial real estate owners.
The team: We're a team of seasoned pros and sharp operators who know how to move fast and build smart. High standards, low ego.
The stability: We're well-funded, growing fast, and we make sure our team shares in that success with competitive pay and equity.
The employee experience: We also offer unlimited PTO, full health benefits, flexible work setups, and the kind of culture where people want to show up to do their best work.
If you don't have all the qualifications listed, don't worry! We understand everyone's career path is unique and still encourage you to apply if you feel this role is aligned with your career trajectory.
Employment at SafeLease is contingent upon a satisfactory verification of a general and criminal background check.

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