Fintech Data Analyst at Power Learn Project

Key Responsibilities

• Build and maintain dashboards and automated reports that provide visibility into key fintech performance metrics such as transaction volumes, revenue, system uptime, product usage, and service reliability.
• Work closely with product, engineering, finance, and operations teams to define key performance indicators and develop automated dashboards and reports that support product monitoring, financial tracking, and operational decision making.
• Produce recurring operational and management reports that track key metrics such as transaction success rates, payment flows, lending portfolio performance, customer activity, and overall product adoption.
• Analyze transaction data across payment processing, PSP services, lending platforms, mobile banking applications, and remittance products to identify trends, customer behavior patterns, and operational issues.
• Monitor portfolio performance including transaction growth, loan performance, credit activity, customer usage patterns, and revenue trends to support business planning and decision making.
• Extract and analyze data from internal platforms and databases, including MySQL databases and cloud infrastructure hosted on AWS, to support reporting, performance monitoring, and operational insights.
• Identify inconsistencies or gaps in data across systems and work with engineering and operations teams to improve data accuracy, consistency, and clean data practices.
• Support operational, regulatory, and reconciliation reporting by ensuring transaction data and financial records are accurate, complete, and aligned with internal reporting requirements.
• Support teams across the organization in using dashboards and data insights to better understand transaction performance, customer activity, and operational efficiency across the fintech platform.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Engineering, Information Systems, or another analytical field.
• 3 to 5 years of experience in data analysis, business intelligence, or reporting roles, preferably within fintech, banking, payments, digital lending, or other high transaction technology environments.
• Experience working with transactional data and financial systems, including analyzing payment flows, product usage, or financial performance metrics.
• Demonstrated experience building dashboards, generating reports, and translating complex datasets into clear insights that support operational and business decision making.
• Experience working with cross functional teams including product, engineering, finance, and operations to define reporting requirements and performance metrics.

Technical Skills

• Strong SQL skills with experience working with relational databases such as MySQL.
• Experience using business intelligence and data visualization tools such as Metabase, Looker, Tableau, PowerBI, or similar platforms.
• Experience analyzing large datasets and building dashboards that support operational monitoring and business insights.
• Familiarity with cloud environments such as AWS and the ability to work with data stored within cloud based infrastructure.
• Experience using analytical tools or scripting languages such as Python or similar tools for data analysis is an added advantage.

Key Competencies

• Strong analytical and problem solving skills with the ability to identify trends and patterns in large datasets.
• Ability to translate complex data into clear insights that can be understood by both technical and non technical teams.
• High attention to detail and strong commitment to data accuracy and data quality.
• Ability to manage multiple reporting and analysis requests while working independently and collaborating with cross functional teams.
• Strong communication skills and ability to present findings in a clear and structured manner.