What kind of person are we looking for?

First-principle problem solvers who are passionate about working with data and uncovering the stories that the numbers hide. If you're a curious mind and constantly questions the status-quo, then you'd fit right in with us.

The gig

Own the entire analytics value delivery for the Merchant Business Unit through a team of analysts. The work involves understanding offline merchant ecosystems, payment acceptance, and the ecosystem of products and services built to support our merchant partners.
Own end-to-end analytics support - including ownership of designing the right team structure, hiring, capability building & setting and maintaining a high bar for data driven problem solving.
Collaborate closely with the business, and product functions to understand the business problem and translate them into the right analytical problem statement .
Work with the team to drive business actions & product decisions by generating insights from data and work on a holistic analysis to provide unbiased answers to various problem statements.
Have a strong problem solving mindset and be able to apply the right analytical approach for solving the same.
Be able to influence stakeholders across various functions to drive initiatives & data driven decision making.
Be an integral part of the pod strategy and go beyond being an analytics counterpart

Job requirements

Minimum 7+ years of analytics experience in relevant roles, with at least 2 years in a Product Analytics role.
Experience leading analytics team as a people manager.
Strong problem solving & analytical skills.
Penchant for business & curiosity to understand how the product works.
Experienced in handling large scale data and working on analyses using SQL.
Experience in FinTech, merchant payments, or B2B platforms is a plus.
Understanding of dashboarding principles and prior experience building such dashboards. Experience of working on QlikSense is a plus.
Data modeling skills to manage ETL at scale by understanding data flow in the organization.
Statistical modelling experience through Python or R is a good-to-have