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Stellar TechPosted 2 weeks ago

Payments Analyst

Remote

Full TimeSmall

Job Summary

Maintain and improve recurring payment reports, dashboards, and data extracts while adapting existing tools for new applications and markets. Monitor payment performance, alerts, and week-over-week changes in key metrics to identify anomalies and conduct first-line investigations into possible causes. Perform data quality checks across multiple sources, add new filters and dimensions to dashboards, and collaborate with cross-functional teams to support the Payments Division with actionable insights. Gradually contribute to advanced analytics, experiments, and business hypotheses while automating recurring workflows.

Required Qualifications

  • 1-3 years of hands-on experience in Data Analytics, Product Analytics, or a similar analytical role
  • Strong SQL skills and the ability to write queries independently
  • Practical Python skills for data analysis and automation
  • Working knowledge of statistics and analytical methods
  • Experience working with large datasets and real product or business data
  • Experience creating or maintaining reports and BI dashboards
  • Advanced Excel or Google Sheets skills
  • Ability to validate data, identify inconsistencies, and investigate anomalies
  • Ability to clearly explain what you did, what problem you solved, and how the result was useful
  • Strong attention to detail and respect for data accuracy
  • An ownership mindset: you do not simply complete tasks but take responsibility for the result
  • High learning agility and genuine interest in developing within the payments domain
  • Clear, structured communication and willingness to raise questions or blockers early

Desired Qualifications

  • Experience working with payment, transactional, billing, or financial data
  • Experience in subscription-based, web-to-app, fintech, e-commerce, gaming, or other high-volume B2C products
  • Understanding of monetization models and online payment flows
  • Experience with AWS Athena or Amazon S3
  • Experience with Tableau, Apache Superset, Looker, or similar BI tools
  • Experience automating reports or recurring analytical processes
  • Personal, academic, or professional projects involving automation, AI tools, or real-world datasets
  • Previous payments experience is an advantage, but it is not a requirement

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