Chargeback Data Analyst (MX)
RemoteMexico
Job Summary
Gather feedback and complete research for new products, features, and developments. Enhance operational workflows via process improvements and identify automation opportunities. Oversee quality assurance checks on new features and build analytical tools to quantify team initiative impact. Develop metrics and projections on large datasets to extract trends, measure results, and predict future performance. Turn insights into compelling business cases that drive action and support business decisions. Collaborate with data science, BI, and product teams to prioritize issue resolution and fix root-cause vulnerabilities generating avoidable chargebacks. Partner with engineering, product, and merchant teams to ensure claims align with card network policies and optimize dispute strategies. This high-impact role offers tremendous opportunities for growth and cross-functional leadership within Signifyd's Chargeback Investigations team.
Required Qualifications
- Fluent in English (written and verbal)
- Minimum of 2 years of experience in data-driven analytical roles (e.g., financial analysis, product analytics, business intelligence, or risk/operations)
- Proven data analysis capabilities, with experience using quantitative data to identify chargeback trends, optimize dispute win rates, and drive operational decision-making
- Knowledge and experience using SQL, Python, Databricks and Looker
- Hands-on experience with payment processors across LatAm, EMEA, or North America
- In-depth knowledge of card network regulations (Visa, Mastercard, American Express, Discover) specifically surrounding chargeback cycles, dispute rights, and merchant/consumer guidelines
- Strong analytical and problem-solving skills, with the ability to translate complex transaction datasets and dispute metrics into clear actionable insights
- Highly professional and adaptable, capable of keeping pace with changing environments while maintaining strict adherence to Signifyd's Security and Privacy policies
- Strict discretion and confidentiality when handling sensitive consumer data, financial metrics, and payment details
- Excellent time management and organizational skills, with a proven ability to prioritize heavy data workloads, multitask, and work flexible hours as needed
- Collaborative team player with a proactive attitude, comfortable executing independent data investigations as well as collaborating cross-functionally to improve chargeback processes
Desired Qualifications
- Experience using a variety of payment platforms or processors across (e.g. Shopify, Stripe, PayPal, Adyen, Braintree)
- Experience analyzing transaction logs, chargeback documentation, and complex datasets
- Proven track record of directly improving chargeback win rates or reducing overall chargeback-to-transaction ratios
- Prior experience using automated chargeback management platforms or merchant portals (e.g., Ethoca, Verifi/Order Insight, Chargebacks911, Kount)
- Familiarity with local and alternative payment methods in key markets (e.g., Pix in LatAm, iDEAL or Klarna in EMEA) and their specific dispute mechanisms
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