Title : Business Analyst - Manager
About Us:
Paytm is India’s leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. Paytm provides consumers with services like utility payments and money transfers, while empowering them to pay via Paytm Payment Instruments (PPI) like Paytm Wallet, Paytm UPI, Paytm Payments Bank Net banking, Paytm FASTag and Paytm Postpaid - Buy Now, Pay Later. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banks’ financial instruments. To further enhance merchants’ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners.
About the role:
Looking for candidate who is having Business analyst experience and has worked IN E-Commerce Industry.
Expectations/ Requirements
1.Proficient in SQL/Hive and deep expertise in building scalable business reporting solutions
2. Past experience in optimizing business strategy, product or process using data & analytics
3. Working knowledge in at least one programming language like Scala, Java or Python
4. Working knowledge of Dashboard visualization . Ability to execute cross functional
initiatives
Superpowers/ Skills that will help you succeed in this role
1.Bachelor’s degree or higher in engineering, statistics, mathematics, economics, business or a similar
quantitative field. Master’s in these fields preferred
2. 4 to 7 years of work experience in a business intelligence and analytics role in financial services,
ecommerce, consulting or technology domain
3. Demonstrated ability to directly partner with business owners to understand product requirements
4. Effective spoken and written communication to senior audiences, including strong data presentation
and visualization skills
5. Prior success in working with extremely large datasets using big data technologies
6. Detail-oriented, with an aptitude for solving unstructured problems