Payments Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Maintain and enhance recurring payment reports and dashboards.

• Modify reporting to accommodate new applications, markets, and business requirements.

• Independently generate analytical reports and data extracts.

• Incorporate filters and dimensions into existing dashboards.

• Track payment performance, alerts, and week-over-week variations in key metrics.

• Detect anomalies in payment data and perform initial investigations.

• Conduct data quality checks and ensure consistency across various data sources.

• Work with extensive product and transactional datasets.

• Deliver clear conclusions and actionable insights to the Payments team.

• Collaborate with Payments, Product, Finance, and other cross-functional teams.

• Spot opportunities to automate recurring reports and analytical workflows.

• Contribute to advanced payment analytics, experiments, and business hypotheses.

• Gradually assume ownership of recurring dashboards, reports, filters, data extracts, monitoring, and alerting.

• Identify issues, clarify data behavior, and escalate anomalies with the necessary context.

⛳️ Requirements

• 1–3 years of practical experience in Data Analytics, Product Analytics, or a related analytical role.

• Proficient SQL skills with the capability to write queries independently.

• Practical experience in Python for data analysis and automation tasks.

• Familiarity with statistics and analytical methodologies.

• Experience working with large datasets and real business or product data.

• Proven experience in creating or maintaining reports and BI dashboards.

• Advanced skills in Excel or Google Sheets.

• Capacity to validate data, recognize inconsistencies, and investigate anomalies.

• Ability to clearly articulate work undertaken, issues resolved, and the significance of results.

• Strong attention to detail and a commitment to data accuracy.

• Ownership mindset with a sense of responsibility for outcomes.

• High learning agility and a genuine interest in growth within the payments sector.

• Clear, structured communication skills with a readiness to raise questions or obstacles early.

• Previous experience in payments is beneficial but not mandatory.

• Nice-to-have: experience with payment, transactional, billing, or financial data.

• Nice-to-have: familiarity with subscription-based, web-to-app, fintech, e-commerce, gaming, or high-volume B2C products.

• Nice-to-have: understanding of monetization models and online payment processes.

• Nice-to-have: experience with AWS Athena or Amazon S3.

• Nice-to-have: proficiency in Tableau, Apache Superset, Looker, or similar BI tools.

• Nice-to-have: experience in automating reports or recurring analytical processes.

• Nice-to-have: projects involving automation, AI tools, or real-world datasets.

🏝️ Benefits

• Professional growth: Learn from an experienced Senior Analyst and progressively take charge of your analytical area.

• Modern tools: Utilize SQL, Python, AWS Athena/S3, Tableau/Superset, and AI-driven solutions.

• Innovative environment: Experiment, enhance processes, and contribute your own ideas.

• Global remote: Work remotely as part of an international product organization.

• Company-provided medical expense reimbursement.

• Company-covered AI subscriptions and other essential tools.

• 21 days of annual leave plus 10 public holidays.

• Collaborative culture with ambitious professionals who prioritize reliable evidence, extreme ownership, energy, and speed.