About FamPayFamPay is building India’s first neo-bank exclusively teens. FamPay helps teens make their own online and offline payments through UPI, FamPay App and FamCard. Our aim is to make banking cool for teens and to help them learn the value of money, savings and spending wisely. We are on a mission to raise a new, financially aware generation, and drive 250 Million+ Indian teenagers to kickstart their financial journey super early in their life.
Founded in 2019 by IIT Roorkee alumni, FamPay is backed by some of the most respected investors around the world like Elevation Capital, Y-Combinator, Sequoia Capital India, Venture Highway, Global Founder’s Capital and the likes of Kunal Shah, Amrish Rao as angels.
About this roleThe best of decisions are data-driven!
We are looking for a passionate Data Analyst. You will turn the data into information, information into insight and insight into business decisions. You will be conducting full lifecycle analysis to include requirements, activities and design. You will also develop analysis and reporting capabilities and will monitor performance and quality control plans to identify improvements.
Important Note: This is not a product role so if you're aspiring to be a Product Analyst then this role is not for you!
On the Job
- Interpret data, analyze results using statistical techniques and provide ongoing reports.
- Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
- Acquire data from primary or secondary data sources and maintain databases/data systems.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
- Work with the teams to prioritize business and information needs.
- Locate and define new process improvement opportunities.
Requirements
- Atleast 1 year of working experience as a Data Analyst or Business Data Analyst.
- Bachelors in Computer Science (or equivalent work experience).
- Technical expertise with data models, database design development, data extraction and segmentation techniques are good to have.
- Strong knowledge of and experience with reporting packages (Tableau, Metabase, Mixpanel etc), databases (SQL etc), programming (Python, R or ETL frameworks).
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc).
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
