Fintech Data Analyst

Fintech Data Analyst at Power Learn Project

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.