Remote Chargeback Insights Analyst

United States Digital Space LLC

United States

Remote

USD 80,000 - 120,000

Full time

14 days+
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Job summary

United States Digital Space LLC is seeking a Data Analyst for the Chargeback Investigations team. You will leverage data to uncover insights, optimize dispute strategies, and minimize financial losses while mitigating fraud and chargeback risks for our customers.

You will build dashboards, develop metrics, and collaborate with product, engineering, and merchant teams to improve chargeback processes and drive informed decisions.

Qualifications

  • 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 the company’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.

Responsibilities

  • 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.

Skills

Fluent English
Data-driven analytics
Team collaboration
Time management

Tools

SQL
Python
Databricks
Looker

Job description

United States Digital Space LLC is seeking a Data Analyst for the Chargeback Investigations team. You will leverage data to uncover insights, optimize dispute strategies, and minimize financial losses while mitigating fraud and chargeback risks for our customers.

You will build dashboards, develop metrics, and collaborate with product, engineering, and merchant teams to improve chargeback processes and drive informed decisions.

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