Fintech Data Analyst

Business Intelligence and Data Analyst

The Business Intelligence & Data Analyst will support the organization by transforming data

from internal systems, products, and operational processes into clear insights that help teams

understand business performance and trends. The role will focus on building dashboards,

generating reports, analyzing data across products such as payments, lending, mobile banking,

and remittance services, and supporting teams with reliable data that improves decision making

and operational efficiency. The analyst will work closely with product, engineering, finance, and

operations teams to ensure data is accessible, accurate, and used effectively across the

organization.

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.