Data Analyst

3 days ago

Islamabad, Islamabad, Pakistan PalmPay Full time

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

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