Data Analyst / Associate Data Scientist
IntegraFEC Open · verified Oct 24, 2026 At a glance
Mid-level Data Analysis & BI role at IntegraFEC. Austin · no salary stated · we estimate $114,013–$145,366.
IntegraFEC has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Lead data-heavy fraud investigations, from planning the analysis through developing methods to spot suspicious patterns
- Research cases to form hypotheses about where fraudulent activity may be occurring
- Write code to gather and organize data, then extract insights from text, images and spreadsheets
- Build and examine large datasets to identify fraud patterns using quantitative and empirical approaches
- Present investigation results clearly to both technical and non-technical audiences
What you bring
- A background in a quantitative discipline such as statistics, mathematics or computer science
- Hands-on ability with R, Python or SQL
- Careful attention, curiosity about fraud analysis, strong ethics and the ability to work well with others
Who this fits
This mid-level role suits someone who enjoys investigative, quantitative work and can take initiative while working through complex problems. You must already be authorized to work for any U.S. employer; visa sponsorship is unavailable.
From the employer
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.
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