Chargebacks Data Analyst (BR)

Signifyd; São Paulo; Presencial; BRL 90 000 - 150 000; Tempo integral

Resumo da oferta

Signifyd in São Paulo, Brazil, is seeking a Data Analyst to join the Chargeback Investigations team. You will leverage data to uncover insights, optimize dispute strategies, and minimize financial losses while mitigating fraud risks for merchants.

You’ll build dashboards, run analyses on large datasets, and collaborate with cross-functional teams to drive data-driven decisions and operational improvements that protect revenue and improve win rates.

Qualificações

• Fluent in English (written and verbal).
• Minimum of 2 years of experience in data-driven analytical roles.
• 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 surrounding chargebacks.

Responsabilidades

• Work independently and with the team to achieve department goals.
• Gather feedback and conduct research for new products and features.
• Enhance workflows via process improvements and automation opportunities.
• Oversee quality assurance on new features.
• Support Product teams across launch stages with timelines and requirements.
• Develop metrics and projections from large data sets to identify opportunities and predict performance.
• Turn insights into business cases to drive action.
• Build analytical tools and dashboards to quantify impact of initiatives.
• Ensure data source reliability and accuracy of metrics.

Conhecimentos

Fluent in English

2+ years data analytics

Analytical mindset

Problem-solving

Ferramentas

SQL

Python

Databricks

Looker

Descrição da oferta de emprego

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 to empower confident, fraud-free commerce by helping online retailers provide superior customer experiences and eliminate fraud. Learn about our company values here !

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.

Using your skills in data analysis, trend identification, and chargeback research, you will help track recovery performance, ensure claims align with card network policies, and deliver actionable data to help merchants and internal teams optimize their workflows for success. This is a high-impact role offering tremendous opportunities for growth, learning, and cross-functional leadership.

What You’ll Do

• 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.

Requirements

• 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.

Highly Desired

• 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.

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

Signifyd is an equal opportunity employer. We celebrate diversity and are fully committed to creating an inclusive, safe environment for all candidates and employees. Candidate demographic data in the aggregate provides a wealth of information that we can use to assess progress against our diversity and inclusion goals and identify areas we can do better. By answering these demographic questions, you are helping Signifyd become a more inclusive place for all of us to do our best work!