# Data Analyst / Associate Data Scientist at Integra FEC

> United States · Junior · Analytics / Data science · open. Source: https://alderhq.app/jobs/greenhouse%3Aintegra%3A5083082008 (read 2026-11-05).

## Facts (observed)

- Company: [Integra FEC](https://alderhq.app/companies/integra-fec)
- Location text: Austin, Texas; Lavaca St
- Where it can be done from (inferred): United States (evidence: "Location: Austin, Texas; Lavaca St")
- Posted: 2026-01-23 (285 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-03
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/integra/jobs/5083082008
- Skills listed (inferred): Python, SQL

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (United States, n 16): p25 $74k, median $89k, p75 $113k

## Description (the employer's text)

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.

---
Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aintegra%3A5083082008 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.