Business Intelligence Engineer, Amazon MX Player

Amazon and MX Player recently joined forces to accelerate premium free entertainment for 250 million users in India. With this acquisition, Amazon merged two of India’s most popular free AVOD (or ad-supported video on demand) services – MX Player and Amazon miniTV into one service - Amazon MX Player. Amazon MX Player is Amazon India’s big bet in terms of shaping the future of the free AVOD landscape in India. We are looking for senior creative leader, who can help shape our brand and creatives for our new exciting show slate. This is an exciting opportunity for someone who wants to work in a start-up like environment and is passionate about building clutter breaking creatives / marketing campaigns to build viewer interest for our new shows.

You can read about the service here:
https://www.aboutamazon.in/news/entertainment/amazon-minitv-mx-player-merger
https://economictimes.indiatimes.com/industry/media/entertainment/amazon-merges-minitv-with-mx-player-to-create-a-free-streaming-giant/articleshow/114007982.cms

Key job responsibilities
We are looking for an analytical leader who can build and scale the date streams for a digital video business in India He/She will work in a highly collaborative environment, and be responsible for working both with the local teams in India as well as the Global teams in Seattle & other locales.

This role will be responsible for building and maintaining end-to-end analytics solutions that drive business decisions. The ideal candidate will have a track record of navigating successfully through ambiguity, gathering business requirements and creating BI and analytics solutions that have measurable customer impact, and demonstrating exemplary written and verbal communication skills. The candidate will have to set the right vision, strategy and roadmap and work alongside with stakeholders in the organization to make it happen. The candidate knows and loves working with business intelligence tools, can model multidimensional datasets, and can partner effectively with business leaders to answer key business questions. S/he will need to be a self-starter, comfortable with ambiguity in a fast-paced and ever-changing environment, and be able to lead a team to innovate and think big, while diving deep to meet our bar for quality and accuracy.- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

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