Data Analyst

Role Overview

We are looking for a Data Analyst with strong SQL, Python, Excel, and data visualization skills to support banking reports, credit card analytics, data reconciliation, and reporting.

What You Will Do

Write and optimize SQL queries, use Python for data analysis and automation, prepare and validate banking reports, identify data discrepancies, and build dashboards using Amazon Quick Sight, Tableau, or Power BI.

Why It Might Be a Fit

The candidate will thrive in a high-ownership environment, enjoy solving complex engineering challenges, and be passionate about building products that directly impact millions of users and financial institutions.

Requirements

• Bachelor’s degree in a relevant field
• 2+ years of experience in data analytics, MIS reporting, or business intelligence
• Strong SQL skills, including joins, CTEs, aggregations, and window functions
• Good proficiency in Excel, including lookup functions, pivot tables, and data reconciliation
• Hands-on Python scripting for data analysis and automation, including pandas and NumPy
• Experience with Python visualization libraries such as Matplotlib, Seaborn, or Plotly
• Hands-on experience with a data visualization tool: Amazon Quick Sight, Tableau, or Power BI

Tagged as: Data Analysis