Back to jobs

Data Analyst / Associate Data Scientist

Austin, Texas

Pay
Pay not listedSimilar roles state $118K–$193K
Work setting
Not stated
Employment
Not stated

Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Read the full posting
Apply at Integra FEC

What you’ll work on

Full posting
  • Plan and own data-intensive investigations of financial fraud

  • Research backgrounds to form hypotheses about where fraud occurs

  • Write scripts to pull and organize data, including free-form text, images and spreadsheets

  • Build and analyze large datasets to detect fraudulent patterns

  • Summarize and present findings to technical and non-technical audiences

From the employer’s posting
Plan, develop, and take ownership in data-intensive investigations of financial fraud
Conduct background research to develop hypotheses of where fraud occurs
Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights
Construct and analyze large datasets to find fraudulent patterns
Summarize and present findings to technical and non-technical audiences

What you’ll bring

All qualifications

Core experience

  • 2+ years of relevant full-time experience (preferred)
  • Background in statistics, math, engineering, CS, data science, economics, or another quantitative field
  • Demonstrated experience with R, Python, and/or SQL
  • Attention to detail
  • Authorized to work for any U.S. employer without sponsorship
Qualification wording
2+ years of relevant full-time experience.
Background in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative field
Demonstrated experience with R, Python, and/or SQL
Attention to detail
Applicants must be authorized to work for any employer in the U.S.

Tools in this posting

  • Python
  • R
  • SQL
Source — Tool mentions in context
- Background in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative field - Demonstrated experience with R, Python, and/or SQL - Attention to detail
- 2+ years of relevant full-time experience. - Excellent skills in R, Python, and/or SQL - Knowledge of financial concepts and principles

Posting record

Report an error

Open 5 monthsWe first saw this posting 165 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
May 17, 2026 · 165 days ago
Recorded sightings
44
Last seen by us
Oct 28, 2026
Employer says posted
Apr 24, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.

Already applied? Track this application

Job description

View original posting ↗

Integra FEC (Financial Economic Consulting) is hiring entrepreneurial and quantitatively-skilled individuals with data analytics experience who are interested in applying their skills to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. 

Main responsibilities include:

  • Plan, develop, and take ownership in data-intensive investigations of financial fraud
  • Conduct background research to develop hypotheses of where fraud occurs
  • Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights
  • Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to detect where fraud occurs
  • Summarize and present findings to technical and non-technical audiences

Job Qualifications:

Required

  • Background in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative field
  • Demonstrated experience with R, Python, and/or SQL
  • Attention to detail
  • Intellectual curiosity and interest in fraud analysis
  • Highest ethical standards
  • Strong teamwork abilities

Preferred

  • 2+ years of relevant full-time experience.
  • Excellent skills in R, Python, and/or SQL
  • Knowledge of financial concepts and principles
  • Demonstrated aptitude for research

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Source details

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Austin, Texas

Working pattern and location restrictions need checking in the full posting.

Work authorization
- Demonstrated aptitude for research Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.