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Weekend Data Analyst Fintech Jobs in Austin, TX (NOW HIRING)

Data Analyst

Austin, TX · On-site

  • Medical

  • PTO

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 ...

Data Analyst

Austin, TX · Hybrid

  • Medical

  • PTO

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 ...

Data Analyst, Data Intelligence

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Analyst, Data Intelligence Austin, TX (Onsite 4 days per week) Note: This is a full-time role ... A global fintech leader, Acrisure empowers millions of ambitious businesses and individuals with ...

Business Systems Analyst

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

FinTech/Accounting (Tax) background is a plus * Experience with SQL, Linux, data comparison and analysis, and API documentation tools * Experience working with AI tools, such as Claude Code * Ability ...

Strategic Data Analyst, Growth & Placement

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strategic Data Analyst, Growth & Placement Austin, TX | Grand Rapids, MI (Onsite 4 days per week ... About Acrisure Acrisure is a global fintech leader empowering millions of ambitious businesses and ...

Business Systems Analyst

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

FinTech/Accounting (Tax) background is a plus * Experience with SQL, Linux, data comparison and analysis, and API documentation tools * Experience working with AI tools, such as Claude Code * Ability ...

Revenue Strategy Analyst

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... FinTech is essential. * Minimum of two years' experience in business analysis, financial analysis, operations, reporting, data analytics, data science, or a related field. * Proven experience in ...

Marketing Data Analyst

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Data Analyst helps to clearly quantify client performance objectives by maintaining our ... M., Monday - Friday, with the expectation that evening and weekend work will be required as ...

Senior Analyst, Data and Analytics Team

Austin, TX

$85K - $107K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a mission-driven fintech , we simplify the home-buying process through cutting-edge technology ... data. This role is a great fit for an experienced analyst-someone who's built trust with ...

Senior Analyst, Data and Analytics Team

Austin, TX · On-site

$85K - $107K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a mission-driven fintech , we simplify the home-buying process through cutting-edge technology ... data. This role is a great fit for an experienced analyst-someone who's built trust with ...

Senior Retirement Analyst

Austin, TX · On-site

$84K - $105K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

WHO WE ARE Apex Fintech Solutions (Apex) powers innovation and the future of digital wealth ... Knowledge of SQL and data organization and Claude AI is highly desirable. Experience with tax ...

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Showing results 1-20

Weekend Data Analyst Fintech information

See Austin, TX salary details

$33.7K

$81.9K

$134.8K

How much do weekend data analyst fintech jobs pay per year?

As of Aug 15, 2026, the average yearly pay for weekend data analyst fintech in Austin, TX is $81,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,100.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Data Analyst Fintech vs Weekend Data Analyst Banking?

AspectWeekend Data Analyst FintechWeekend Data Analyst Banking
Required CredentialsBachelor's in Data Science, Finance, or related field; familiarity with fintech toolsBachelor's in Finance, Economics, or related; knowledge of banking systems
Work EnvironmentStartups, online platforms, flexible hoursTraditional bank branches, financial institutions, similar flexible weekend roles
Employer & Industry UsageFintech companies, online lenders, digital payment firmsCommercial banks, retail banking, financial services

The main difference between Weekend Data Analyst Fintech and Weekend Data Analyst Banking lies in the industry focus and work environment. Fintech roles are often in innovative, digital-focused companies requiring familiarity with new financial technologies, while banking roles are within traditional financial institutions emphasizing banking systems and regulations. Both roles typically require similar data analysis skills but cater to different sectors within finance.

What are the most commonly searched types of Data Analyst Fintech jobs in Austin, TX?

The most popular types of Data Analyst Fintech jobs in Austin, TX are:

What job categories do people searching Weekend Data Analyst Fintech jobs in Austin, TX look for?

The top searched job categories for Weekend Data Analyst Fintech jobs in Austin, TX are:

What cities near Austin, TX are hiring for Weekend Data Analyst Fintech jobs?

Cities near Austin, TX with the most Weekend Data Analyst Fintech job openings:

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.