Lead Data Analyst - Fintech

We are seeking a highly experienced Lead Data Analyst to lead data analysis initiatives across our Fintech organization. This role is responsible for transforming transactional and operational data into strategic insights, influencing decision-making at leadership level, and driving revenue protection, optimization, and data monetization initiatives.

Responsibilities

Lead and own company-wide data analysis initiatives related to payments, wallets, collections, and customer behaviorDefine and track Fintech KPIs (transactions, revenue, failures, recovery, customer lifecycle)Identify revenue leakage, operational gaps, and optimization opportunities and propose data-backed solutionsPartner with Operations, Product, Risk, Finance, and IT/Core Systems to drive data-driven changeOversee analysis of high-volume financial and transactional datasets Design and review executive dashboards and management reportsEnsure data accuracy, consistency, and alignment with business logicSupport audits, compliance, and regulatory data requestsMentor and guide analysts and enforce best practicesContribute to data governance, quality standards, and documentation

Requirements

Bachelor's degree in Computer Science, Data Science, Statistics, Finance, or related fieldMinimum 5-7 years of experience in Data Analytics (Fintech, Banking, Payments preferred)Expert-level SQL skills (Oracle preferred)Strong understanding of wallets, payment flows, cash-in/cash-out, reconciliation, and collectionsExperience working with large transactional datasetsHands-on experience with BI tools (Power BI, Tableau, etc.)Ability to translate data into executive-level insights

Preferred Skills

Experience with Core Banking or Digital Wallet SystemsKnowledge of revenue assurance, fraud, and risk analyticsExposure to ETL pipelines and data modelingExperience contributing to data monetization initiativesStrong leadership and ownership mindsetExcellent communication and stakeholder management skillsAbility to challenge existing processes using dataComfortable presenting to senior management and executivesHigh attention to detail and accountability