Lead Data Analyst

Description

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 behavior

Define and track fintech KPIs (transactions, revenue, failures, recovery, customer lifecycle)

Identify revenue leakage, operational gaps, and optimization opportunities and propose data-backed solutions

Partner with operations, product, risk, finance, and IT/core systems to drive data-driven change

Oversee analysis of high-volume financial and transactional datasets

Design and review executive dashboards and management reports

Ensure data accuracy, consistency, and alignment with business logic

Support audits, compliance, and regulatory data requests

Mentor and guide analysts and enforce best practices

Contribute to data governance, quality standards, and documentation

Requirements

Bachelor's degree in computer science, data science, statistics, finance, or related field

Minimum 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 collections

Experience working with large transactional datasets

Hands-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 systems

Knowledge of revenue assurance, fraud, and risk analytics

Exposure to ETL pipelines and data modeling

Experience contributing to data monetization initiatives

Strong leadership and ownership mindset

Excellent communication and stakeholder management skills

Ability to challenge existing processes using data

Comfortable presenting to senior management and executives

High attention to detail and accountability