Business Intelligence, Prime Video Analytics

Job ID: 913693 | ASSPL - Maharashtra


About Amazon Prime Video
“Many of the problems we face have no textbook solution, and so we-happily-invent new ones.” – Jeff Bezos

The Amazon Prime Video team is shaping the future of digital video entertainment. We are seeking an outstanding Business Intelligence Engineer to uncover key insights on how consumers watch videos on Amazon. As consumers increasingly consume digital video, we need to make agile decisions based on what content appeals to our customers. As an analytics expert at Amazon Prime Video, you will have the opportunity to work on one of the world's largest consumer data sets, influence the long term evolution of our analytics capability and support the expansion of Amazon's digital video business.
You should have excellent business and communication skills to be able to work with content acquisition managers to develop and define key business questions, and to build models and data sets that answer those questions

Key Responsibilities

· Support the Marketing, Product and Finance teams on business reporting, ad hoc analysis, statistical inference and predictive modelling for all Prime Video India.
· Mine and analyze data pertaining to customers viewing experiences to identify critical business insight and make recommendations to optimize content selection.
· Proactively develop new metrics and studies to quantify the value of different aspects of video content.
· Translate analytic insights into concrete, actionable recommendations for business or product improvement. Develop and present these as papers to senior stakeholders.
· Liaise with your peers in other prime video territories to develop solutions that greatly benefit our global customers
This role will be based in Mumbai, India


Basic qualifications For this role we require:

· At least 7-8 years of experience in analytical or business intelligence teams developing sound analytics-based solutions to business problems.
· Masters-level degree in econometrics, statistics, operational research, optimization, data science, analytics, or other quantitative field.
· Fluency in using SQL to interrogate TB-scale relational databases to build data sets and answer business questions.
· Expertise in using tools such as SAS, R or Python to build predictive models using regressions and machine learning techniques.
· Strong interpersonal and communication skills. Must be able to explain technical concepts and analyses implications clearly to a wide audience, and be able to translate business objectives into actionable analyses.


· Preferred qualifications
Further qualifications would be a plus:

· PhD in a quantitative field such as computer science, economics, statistics, physics or mathematics
· Experience in leading and developing high-performing analytical teams