Signifyd·Brazil·26 авг.
Chargebacks Data Analyst (BR)
🌍 УдалённоБез опытаПолная занятость🌐 Глобал
52
Есть о чём спросить
Навык востребован (python). Но вилки нет, про деньги придётся договариваться с нуля.
Наша компания
At Signifyd, we help merchants confidently grow their businesses by building trusted relationships with their customers. Our advanced technology, combined with a team genuinely invested in our clients’ success, creates frictionless shopping experiences, approving more good orders, protecting revenue, and keeping customers happy. Trusted by thousands of leading merchants across more than 100 countries, we securely process billions of transactions each year. Our people are the heart of everything we do, driving our mission forward with commitment, empathy, and creativity. Join us on our mission
О роли
Position Overview You’ll join our Chargeback Investigations team as a Data Analyst, serving as a front-line financial driver and data integrity gatekeeper for Signifyd. In this role, you will leverage data to uncover insights, optimize dispute strategies, and minimize financial losses while mitigating fraud and chargeback risks for our customers.
Чем предстоит заниматься
Work independently and with your team to help achieve the overall goals of the department
Gather feedback and complete research for new products, features and developments
Enhance our operational workflows via process improvements and identification of automation opportunities
Oversee quality assurance checks on new features
Support Product teams in different Product and feature launch stages, ensuring alignment on timelines, requirements and success criteria
Develop metrics and projections on large datasets to extract trends, measure results and outcomes, identify areas of opportunity, and predict future performance
Turn insights into compelling business cases and recommendations that drive action and support business decisions based on insights gained from your data analysis
Build analytical tools and dashboards to quantify the impact of Chargeback Investigations team initiatives and identify opportunities for improvement
Develop a deep understanding of how existing metrics are calculated, and ensure metrics source data is reliable and measures our effectiveness at combating integrity issues
Collaborate with data science, BI, and product teams, prioritize issue resolution, and establish and maintain an operating rhythm and accountability to identify and resolve
Partnering with engineering, product, and merchant teams to fix root-cause vulnerabilities that generate avoidable chargebacks
Наши требования
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
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
Технологии и навыки
Signifyd
Brazil
ГрейдБез опыта
ЗанятостьПолная занятость
РегионБразилия
ФорматУдалённо
ИсточникСкрыто
Опубликовано26 авг.
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