Description review
Chargebacks Data Analyst (BR)
Signifyd · Brazil · back to the listing
HR standards
54/100
needs work
Title ↔ description
81/100
solid
Reads as
Data Analyst
100% confident
What this role officially is
data analyst — ESCO, the EU occupation classification
Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.
Also known as: data warehousing analyst, data analysts, data warehouse analyst, data storage analyst
How others title the same work
Large employers
- Operations Insights, Tax Stripe
Startups
- Senior Data Analyst Camber
- Senior Data Analyst Confido
What the listing never says
- 27 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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.
#LI-Remote
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's Applicant Privacy Notice
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.
#LI-Remote
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's Applicant Privacy Notice