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Data Analytics Manager
LinkedIn Recruiter Post
Lead a team delivering high - impact insights across our project portfolio, transforming project data into reports and dashboards.
About the role
- Senior Compliance Data Analyst at Reap turning complex regulatory data into clear insights and building scalable dashboards across remote teams for a global fintech company.
Responsibilities
- Own the development and maintenance of compliance dashboards, recurring regulatory reports, and analytical views in 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 teams.
- 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.
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.
Benefits
- A Global & Dynamic Team
- Remote Work Friendly
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