Introduction Welcome to where innovation meets expertise. We're not just another startup; we're a dynamic and rapidly expanding company driven by seasoned leaders in the world of fintech and Ecommerce. Our passionate team is on a mission to tackle one of the most pressing issues plaguing online businesses today: chargeback fraud. This insidious menace all too often results in substantial losses, both in revenue and profits. Join us on our journey as we revolutionize the fight against chargeback fraud. Who We're Looking For - The Dream Maker As a Senior data Analyst, youll be Embedded within the R&D team, working alongside data Scientists and Senior Engineers. Your mission is to build a world-class understanding of transaction behaviors, chargeback patterns, and payment flows. Youll leverage deep payments domain expertise to guide product decisions, optimize detection and automation models, and uncover high-impact insights from complex data sets. You are not just a number cruncher, you are a storyteller, a domain expert, and a strategic thinker who thrives at the intersection of data, product, and engineering. Your Arena:
* Own and lead analytical projects across the payments lifecycle: from order creation to dispute resolution.
* Work cross-functionally with product managers, engineers, and data scientists to design metrics and deliver insights that shape roadmap decisions.
* Conduct deep-dive investigations into chargeback patterns, merchant behavior, fraud signals, and transaction anomalies.
* Collaborate closely with the data engineering team to improve our data models, pipelines, and analytics infrastructure.
* Translate ambiguous business problems into well-defined analytical frameworks and execute them end-to-end.
Requirements: What It Takes:
4+ years of hands-on experience as a data analyst, with strong exposure to the payments or finance industry (e.g., credit card processing, PSPs, chargebacks, fraud, risk analytics) Advanced SQL proficiency ; comfortable querying complex schemas across billions of rows - Must.
* Proven experience working with Python - Must.
* Strong data storytelling skills with the ability to present findings clearly and persuasively to technical and non-technical audiences.
* Experience working closely with R&D teams or within a product-driven company.
* Exceptional ownership mindset; you drive projects independently and take pride in delivering value.
Nice-to-Haves:
* Proven experience working with BI tools (e.g. Looker, Tableau, PowerBI).
* Understanding of Machine Learning models, evaluations & principles.
* Understanding of statistical techniques and A/B testing principles.
* Experience in fraud/risk analytics, payment optimization, or revenue recovery.
* Background working in PLG SaaS or Fintech/Risk-Tech companies.
* Comfortable working in a fast-paced startup environment with ambiguity and rapid change Our Story.
We are a leading force in fintech innovation, tackling the pervasive issue of chargeback fraud that undermines online businesses. Born from a deep passion for technology and a commitment to excel in Ecommerce and fintech, we've developed an AI-driven solution aimed at combating the frustrations of credit card disputes. Our diverse expertise in fintech, Ecommerce, and technology positions us as a beacon for merchants facing unjust chargebacks, supported by a unique success-based approach. Propelled by nearly $20 million funding round led by OpenView Venture Partners and key fintech investors, we have embarked on a product-led growth journey. Today, we represent a tight-knit community of passionate individuals and entrepreneurs, united in our mission to revolutionize Ecommerce and fight against chargeback fraud, marking us as pioneers in protecting online business revenues.
This position is open to all candidates.