Data Analyst / DA-1

POPclub Vision Tech Pvt. Ltd.; Bengaluru; On-site; INR 600,000 - 1,200,000; Full time

Benefits offered by this job

Work on real production systems

Learn from experienced engineers

Collaborative culture

Job summary

A modern fintech firm based in Bengaluru is seeking a detail-oriented Data Analyst (DA-1) to join their team. The successful candidate will be responsible for analyzing data, developing dashboards, and providing actionable insights to support business decisions. This role requires proficiency in SQL and Excel, familiarity with BI tools, and a strong analytical mindset. Join a collaborative and learning-focused culture that emphasizes high ownership and growth opportunities.

Qualifications

• Proficiency in SQL and Excel is essential.
• Experience with BI tools is required.
• Understanding of data modeling and ETL processes is beneficial.

Responsibilities

• Analyze data to support business decisions.
• Develop reports and dashboards to visualize trends.
• Collaborate with stakeholders to define KPIs.

Skills

SQL

Excel

Python

R

Power BI

Tableau

Google Data Studio

Analytical thinking

Problem-solving

Education

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related field

Tools

Meta Business Suite

Google BigQuery

AWS Redshift

Snowflake

Job description

Overview

We're POP, a new-age fintech company that's making payments fun, rewarding, and totally worth it! With POP UPI, you can pay anyone, anywhere and earn POPcoins every time you do. Those POPcoins aren't just points, they're real rewards you can use to shop, save, and score deals from over 500+ awesome brands. Founded in Bengaluru in 2023, we're backed by Razorpay and partnered with YES Bank to bring India's most rewarding payment experience. At POP, we believe every payment should give something back — so we're on a mission to make spending smarter, shopping more exciting, and rewards a part of everyone's daily life.

Role Overview

We are looking for a detail-oriented and analytical Data Analyst (DA-1) to join our team. The ideal candidate will be responsible for collecting, processing, and analyzing data to support business decisions and strategic initiatives. You will work closely with cross-functional teams to identify trends, develop dashboards, and generate actionable insights.

Responsibilities

• Collect, clean, and analyze structured and unstructured data from multiple internal and external sources.
• Conduct comprehensive research to identify trends, customer needs, and monetization landscape to share deep insights.
• Develop reports and interactive dashboards using tools such as Meta Business Suite to track performance and visualize trends.
• Work with business stakeholders to identify and define KPIs and track performance metrics across different business functions.
• Automate recurring data workflows and reporting processes to improve efficiency, reduce manual effort, and ensure accuracy.
• Translate business questions into analytical problems, providing actionable insights and strategic recommendations.
• Collaborate with engineering and data teams to ensure data availability, quality, and integrity.
• Identify opportunities to improve data systems, processes, and reporting efficiency through automation and best practices.

Qualifications

• Strong proficiency in SQL, Excel, and at least one programming language (Python or R).
• Experience with BI tools such as Power BI, Tableau, or Google Data Studio.
• Knowledge of data modeling, ETL processes, and data visualization principles.
• Strong analytical thinking, problem-solving, and communication skills.

Good to Have

• Experience working with large datasets or in a fast-paced digital/fintech/e-commerce environment.
• Skilled in data analysis, research, validation, and documentation.
• Familiarity with cloud data platforms (e.g., Google BigQuery, AWS Redshift, Snowflake).
• Understanding of machine learning basics and statistical modeling.

What We Look For

• Strong problem-solving mindset
• Willingness to learn and take ownership
• Ability to work in a fast-paced environment

Experience

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related field.
• 0–2 years of experience as a Data Analyst or in a similar role.

Why Join Us

• Work on real production systems
• Learn from experienced engineers and analysts
• High ownership and fast growth
• Collaborative and learning-focused culture