Senior Analytics Engineer (Remote Working)

Remote (India) /
03. User Growth – Analytics /
Full time
Disney Media & Entertainment Distribution (DMED) brings together the Company’s best-in-class product, technology, and commercialization teams together into one global organization. DMED is responsible for the P&L management and all distribution, network and engineering operations, sales, advertising, data, and certain key technology functions worldwide for the Company’s content engines. DMED also manages operations of the Company’s streaming services including Disney+, Hulu, ESPN+ and Disney+ Hotstar; and domestic broadcast and cable television networks.

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!

Your Key Responsibilities:

    • Partner with stakeholders at all levels to establish current and ongoing data support and reporting needs.
    • Become an expert in the company’s data warehouse and other data storage & processing tools, understanding the definition, context, and proper use of all attributes and metrics.
    • Work with the data engineering team to shape robust & real-time data systems with the right instrumentation & visualization capabilities.
    • Create structured and well-documented data marts empowering data insights within the organization
    • Work with data stakeholders to identify key questions and provide generalized solutions
    • Manage data quality, instrumentation, and governance.

What to Bring:

    • 4-7 years experience writing production datasets in SQL/Hive OR building internal/production data tools for ETL, experimentation, or exploration in a scripting language (Python, PHP, Ruby, R etc.)
    • 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).
    • Extremely strong analytical orientation/bent of mind and consumer understanding.
    • Graduate degree or equivalent in Computer Science, Engineering or related field, or equivalent training or work experience
Our Values- We are customer obsessed- We are audacious in vision and action- We encourage honest and open dialogue- We respect everyone and every point of view- We make objective and data-driven decisions- We believe trust and accountability go hand-in-hand- We invest in each other's growth- We bring our A-game. and nothing else- We take charge and get it done

The Perks- The glory. Almost too much responsibility. - No dress code. Unlimited leave.- A fun-life balance. - A ticket on our rocket ship to the moon.  🚀
Who we are as an employerWe are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

Who we are as a company We’re Disney+ Hotstar. The go-to destination for over 300 million users for everything from Live Sports, Indian and International Shows and Movies to all Disney content, including Pixar, Marvel, Star Wars, National Geographic and Disney+ originals. Our mission is to revolutionize internet entertainment through smart personalization, and by building a global video platform that takes over the world wide web and the whole wide world. 

To learn more about our team, check out the following blogs: