About the Role
Disney+ Hotstar is leading the way as the largest and smartest video platform in the country, reaching over 300 million users today.
We have set a number of world records along the way - including the highest concurrent viewership at 25.3 million during the ICC Cricket World Cup 2019.
Disney+ Hotstar today is the one-stop destination for all your entertainment needs - from Live Sports, Indian and International Shows and Movies to all Disney content, including Pixar, Marvel, Star Wars, National Geographic and Disney+ Originals.
We’re looking for the brightest minds to build the future of TV with us.You’ll be part of the product team at Hotstar - helping us become the largest subscription platform in the country.
The pace of our growth is incredible if you want to tackle hard and interesting problems at scale, and create an impact within an entrepreneurial environment, join us!
What you’ll do
Lead the product analytics function for the subscriptions team.
Build & mentor a team of product analysts.
Work with the data engineering team to shape robust & real time data systems with right instrumentation & visualization capabilities.
Co-own the business goals & lead data-led problem solving to find actionable insights across acquisition, payments, engagement & retention.
Setup a framework for running hundreds of parallel A / B test reliably.
Work with product & business teams to identify high level requirements / problems and build analytical frameworks & presentations.
Build reports & dashboards that enable a more data aware organization and reflect the health of different initiatives.
Who we’d like to work with
Post Graduate degree or equivalent preferably in Business Administration / Statistics / Operational Research / Mathematics.
7-10 years of experience; currently leading the Business Intelligence / Data Analytics team.
Demonstrated experience in data modeling, predictive analysis, and expertise in R, SQL, Python.
Experience with Reporting / BI tools, data warehousing concepts and ETL development and tools. Familiar with digital analytics and clickstream data.
Experience with distributed analytic processing technologies is desired (e.g. Hive).
Experience with Mixpanel, Adobe analytics, appsflyer, localytics, apsalar etc.
Extremely strong analytical orientation / bent of mind and consumer understanding .