Senior
RemoteYesterday
Reap
About the Role You will join the data team to strengthen compliance monitoring, regulatory reporting, and risk insights through high quality analytics, scalable reporting frameworks, and strong cross functional partnership. You will translate operational and regulatory needs into reliable analytical outputs and actionable insights, working with compliance, data product managers, data engineers, and business stakeholders.
Requirements Bachelor’s degree in a quantitative business or related field such as Data Analytics Statistics Economics Finance Computer Science or Business. 6-8+ years of experience in business intelligence data analytics compliance analytics payments analytics or a related role. Strong proficiency in SQL and experience working with relational databases and data warehouses. Experience building dashboards and reporting in BI tools such as Metabase Tableau or similar tools. Strong analytical mindset with experience in trend analysis segmentation cohort analysis and data quality validation. Understanding of compliance risk regulatory reporting or financial controls is strongly preferred. Experience analyzing cards payments or transaction level data is highly preferred especially where operational decision making or customer growth is involved. Ability to explain complex analytical concepts in clear concise language for non technical stakeholders. Strong ownership attention to detail and comfort working in a fast paced cross functional environment.
Responsibilities Own the development and maintenance of compliance dashboards and recurring regulatory reports using BI tools such as Tableau or Metabase or similar tools to support regulatory operational and compliance risk monitoring needs. Write and debug SQL queries to extract validate aggregate and transform compliance related data across systems for ad hoc analysis reporting and monitoring. Conduct deep dive analyses on compliance trends transactional patterns and user behavior across cards and payments to identify anomalies control gaps operational blockers and emerging risks. Support regulatory reporting and compliance monitoring initiatives by ensuring data accuracy completeness and consistency across source systems. Build and refine segmentation cohort and trend analyses to help Compliance and business teams better understand customer behavior risk patterns and control effectiveness. Analyze transactional patterns and user behavior across cards and payments to improve operational tooling to help inform and scale operational processes like onboarding and transactional monitoring and enable growth by identifying and removing blockers in the customer journey. Work in a continuous feedback loop with Data Product Managers and Data Engineers to refine analytical logic improve data quality and evolve reporting and data models. Communicate findings clearly to technical and non technical stakeholders including Compliance onboarding Operations Product and leadership. Contribute to process improvements and automation opportunities that strengthen self serve analytics and scalable reporting. Analyze onboarding funnels and client risk profiles transactional patterns and user behavior across cards and payments to identify friction points reduce drop offs and improve both customer onboarding and operational efficiency.
Benefits A Global & Dynamic Team Remote Work Friendly Security Data Analyst Blockaid · 9 hours ago Lead PoC Data Scientist Sardine · 1 week ago Senior Data Scientist, Full Stack (LATAM) TRM Labs · 3 weeks ago Quantitative Researcher Douro Labs · 3 weeks ago Data Specialist VIA Science, Inc. · 4 weeks ago Security Data Analyst Blockaid · 9 hours ago Lead PoC Data Scientist Sardine · 1 week ago Senior Data Scientist, Full Stack (LATAM) TRM Labs · 3 weeks ago Quantitative Researcher Douro Labs · 3 weeks ago Data Specialist VIA Science, Inc. · 4 weeks ago