Company: Fraud DeflectRole: Data AnalystLanguage: Native/fluent English. Resumes in English.About the roleHelp Fraud Deflect turn data into clear, reliable insights across fraud, chargebacks, alerts, and operational performance. The focus is working within the current stack to improve reporting, analysis, data quality, and decision-making, not rebuilding everything from scratch.ResponsibilitiesOwn reporting and analysis for core business datasets.Build and maintain dashboards, recurring reports, and KPI tracking.Write and optimize SQL for analysis, reporting, and data validation.Analyze fraud, chargeback, dispute, and merchant trends to identify risks, patterns, and opportunities.Investigate anomalies, data issues, and performance changes across key metrics.Partner with engineering, product, operations, and leadership to answer business questions with data.Work with existing pipelines and datasets to improve trust, consistency, and usability of data.Use Python for analysis, validation, and lightweight automation where needed.Support data quality efforts by identifying gaps, inconsistencies, and edge cases in source data.Create clear visualizations and communicate findings in a practical, business-friendly way.Work within the current stack (MySQL, AWS, Airflow; ClickHouse is a plus).RequiredStrong MySQL/SQL skills.Strong analytical thinking and problem-solving.Experience building dashboards and reports.Ability to translate business questions into clear analysis.Experience working with production data and validating data quality.Python proficiency for analysis or automation.Strong communication and troubleshooting skills.Comfortable working with existing systems and improving them incrementally.Nice to haveExperience with fraud, payments, chargebacks, disputes, or risk data.Experience with Airflow or other scheduled workflow tools.AWS experience.Observability/visualization experience (metrics, dashboards, alerting).Prior ClickHouse experience.Basic Linux/CLI comfort.How to applySend an English resume and links to APIs/code/docs showing Python, Clickhouse, SQL, automation, and payments/chargebacks work.