Über
TOP 3 SKILLS:
2-4 years of experience working with large-scale, complex datasets and performing data analysis. Strong analytical skills with the ability to translate business questions into structured analyses and actionable insights. Proficiency in SQL and experience using AWS tools such as EC2, DynamoDB, S3, and Redshift.
Job Summary: The streaming platform is changing the way people watch movies, TV shows, channels, and live events, offering the greatest choice in what to watch on-demand or in real time on Fire Tablets, mobile devices, game consoles, internet-connected PCs, Macs, TVs, Blu-ray players, Fire TV and Stick, and set-top boxes. We are at the forefront of the entertainment industry and growing fast-now available in more than 240 countries and territories worldwide-and we work in a dynamic and exciting environment where innovating on behalf of our customers is at the heart of everything we do.
The Business Intelligence Engineer occupies a unique role at the intersection of technology, statistics, data mining, and social science. We provide the key insights into customer behavior necessary to guide the evolution of business and product strategy.
s a Senior Business Intelligence Engineer, you will work with world-class product and technology teams to ensure that we continue to delight our customers. You will meet with product owners to formulate key questions, leverage a vast data warehouse to extract and analyze relevant data, and present your findings and recommendations to management in an actionable way.
Task Breakdown and Workflow:
Evaluate the performance of product features along measures of customer response, use, conversion, and retention Conduct and analyze statistical testing of A/B and multivariate experiments Design, build and maintain metrics and reporting on product and customer understanding Respond to ad hoc requests from business leaders to investigate critical aspects of customer behavior, deep dive into unusual patterns, and conduct exploratory data analysis Employ data mining, model building, segmentation, and other analytical techniques to capture important trends in the customer base Participate in strategic and tactical planning discussions
Requirements:
Must Have Hard Skills:
Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions Strong working knowledge of SQL Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Nice to have:
Excellent communication skills, equally adept at working with engineers as well as business leaders
Experience:
2-4 years of experience working with large-scale complex datasets
BENEFITS SUMMARY:
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.
IND123
Sprachkenntnisse
- English
Hinweis für Nutzer
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