Business Intelligence Engineer, Prime Video IN

Basic qualifications For this role we require:

• 5+ years of experience in analytical or business intelligence teams developing robust analytics-based solutions to solve business problems


• Bachelor Degree in Computer Science, Information Technology, Business Analytics, Mathematics, Statistics or other quantitative discipline.


• Familiarity with theory and practice of statistics, information retrieval and data mining.


• Demonstrated capability of extracting, transforming, and cleaning large (multi-TB) data sets.


• Experience in scripting for automation (e.g. Python, Perl, Ruby).


• Experience using statistical packages and business intelligence tools such as R, Python etc.


• Experience in data mining and optimizing database query performance in SQL.


• Experience in building dashboards and reports to surface business intelligence data.


• Knowledge of visualization platforms like Tableau, Microstrategy, AWS QuickSight, or equivalent solutions


• Strong analytical and excellent problem solving skills.
  


• Proven interpersonal skills. Ability to work effectively with cross-functional teams within Connectivity Solutions Group as well as other Amazon businesses.


• Strong written and verbal skills – ability to present thoughts clearly in both verbal and written form to large cross-functional teams of technical and non-technical members and across hierarchy.


• Strong desire to push ideas into production, overcoming obstacles, in order to benefit Amazon's customers.


• Ability to deal with ambiguity and shifting priorities

Job summary

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 analytics professional to uncover key insights on how consumers watch videos on Amazon. As consumers increasingly consume digital video, we need to make agile decisions for driving customer acquisition, engagement & retention for Prime Video India. As an analytics lead, you will have the opportunity to influence product experience, marketing strategy and create analytical capabilities to equip the business to innovate for customers at scale and be a part of this exciting journey for Amazon's Prime Video business.

You should have excellent analytical skills and communication skills to be able to work with marketing, product and business managers to develop and define key business questions, and to build models and analytical solutions to answer them.

Key job responsibilities

• Support the Marketing, Product and Finance teams on business reporting, ad hoc analysis, statistical inference and predictive modelling for Prime Video India



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• Drive Experimentation at scale to improve customer experience and engagement with Prime Video and other Prime benefits


• 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

About the team

Prime Video Analytics is responsible for managing entire analytics and data spectrum for Prime India, including data engineering, reporting, customer analytics & insights, experimentation and predictive modelling