Data Analyst

About PalmPay

PalmPay is a leading neobank and fintech platform scaling financial inclusion across emerging markets. With over 40 million users, we are building a digital financial ecosystem that empowers individuals and businesses through accessible, easy-to-use, and rewarding financial services.

Operating in Nigeria, Ghana, Tanzania, Bangladesh, and Pakistan, PalmPay has been recognised by CNBC as one of the Top 300 Global Fintech Companies and ranked #2 overall and #1 in financial services on the Financial Times’ Africa’s Fastest Growing Companies 2025 list.

Position Overview

We are looking for a highly analytical Data Analyst to join our Pakistan operations. The ideal candidate will be responsible for data interpretation, reporting, and business insight generation to support product, sales, and operations teams. This role requires a strong command of analytical tools, business acumen, and the ability to translate data into actionable strategies.

Key Responsibilities

Data Collection & Processing

Gather, clean, and organize large datasets from multiple sources (product, finance, sales, and marketing).

Ensure data integrity and accuracy through consistent validation processes.

Reporting & Analytics

Build interactive dashboards and performance reports for key business units.

Conduct in-depth analysis to identify operational bottlenecks, user behavior patterns, and business opportunities.

Provide management with regular KPI updates and data-driven insights.

Business Strategy Support

Collaborate with business and product teams to support strategy formulation through quantitative insights.

Perform ad-hoc analysis on campaign performance, financial metrics, and customer retention trends.

Tool & System Management

Utilize tools such as SQL, Power BI, Tableau, Python, or Excel for analysis and reporting.

Support data automation initiatives to improve reporting efficiency.

Requirements

Bachelor’s or Master’s degree in Statistics, Mathematics, Computer Science, or Business Analytics.

3–5 years of professional experience in data analytics, BI reporting, or business performance analysis.

Strong proficiency in SQL, Excel, Power BI/Tableau, and data visualization techniques.

Knowledge of Python/R for statistical analysis is an advantage.

Excellent problem-solving and storytelling skills through data.

Strong communication and collaboration abilities across functions.

Compensation & Benefits

Competitive salary package.

Mobile and internet allowance.

Fast career growth in a data-driven fintech environment.