Data Analyst

About The Role:

• We’re looking for a Data Analyst to join Sardine’s Fraud Intelligence team, sitting at the intersection of data evaluation, vendor strategy, and fraud detection.
• You’ll be the analytical engine behind how we assess, test, and onboard new third-party data signals and vendor partnerships.
• This is a high-ownership, high-visibility role working with the Head of Fraud, product, data engineering, and client-facing teams.

What You'll Be Doing:

• Design and execute structured evaluation frameworks to assess the quality, coverage, and fraud-signal value of incoming data assets from vendor partners.
• Build lift analyses, backtests, and champion/challenger comparisons to quantify the incremental value of new data signals against our existing fraud detection stack.
• Profile vendor datasets for completeness, freshness, match rates, and population coverage across verticals.

What You'll Need:

• 3–5 years of experience in data analysis, data science, or a related analytical role — ideally in fraud, risk, fintech, or a data-heavy B2B SaaS environment.
• Proficiency in SQL (required) and Python or R for data manipulation, statistical analysis, and visualization.
• Solid understanding of evaluation metrics and statistical concepts: precision/recall, AUC/ROC, lift, population distributions, and A/B testing basics.