drjobs Analytics Manager

Analytics Manager

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1 Vacancy
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Job Location drjobs

Bengaluru - India

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Are you passionate about working with Amazonscale data analytics/science and stateoftheart data infrastructure Do you love bringing data together from diverse systems and sources and solving complex analytics problems for creating deep understanding of customer behavior and generating actionable business insights Does the idea of working closely with a partner team of product managers operations leaders machinelearning scientists and software engineers excite you
The Analytics Manager will lead a critical team of businessintelligence engineers leveraging massive Amazonscale data to help us improve decisionmaking increase operational efficiency and delight our customers with new and improved experiences. The team will sit within our Analytics and Science organization and operate in close partnership with product managers scientists and engineers to combat existing and emerging risk vectors across Books businesses.
This is a dynamic role requiring a leader who is not afraid to think big improve existing processes build new ones and collaborate across a large organization covering multiple businesses. They must be comfortable operating in an exciting highimpact environment and use their strong communication skills to build and maintain trust with a crossfunctional group of stakeholders and partners. They will own processes for analytics support across our businesses covering data and infrastructure metrics and reporting processes and data governance. They will have a strong focus on consistency clarity and operational excellence of the team. They will also build compelling career paths across data analytics and science roles for their team and organization.

About the team
Minerva is a crossfunctional organization of highly experienced scientists businessintelligence engineers data engineers and software engineers with a critical business mission making revolutionary leaps forward using massivescale data with advanced analytics and machine learning and helping democratize the publishing industry. We build sciencebased systems for marketing and contentdiscovery for indie (KDP) authors fraud/abuse and content risk. We also use science to optimize manufacturing fulfillment and quality processes for our Print On Demand (POD) business.

10 years of professional or military experience
5 years of technical and functional experience leading large size teams
Experience programming to extract transform and clean large (multiTB) data sets
Experience with theory and practice of design of experiments and statistical analysis of results
Experience with data visualization using Tableau Quicksight or similar tools
Experience in scripting for automation (e.g. Python) and advanced SQL skills.
Experience using Cloud Storage and Computing technologies such as AWS Redshift S3 Hadoop etc.

A masters degree in a relevant field.
More than 6 years of experience in related fields.
Demonstrated track record of managing complex highimpact projects.
Familiarity with programming languages such as Python or R for data analysis.
Advanced proficiency in statistical analysis.
Ability to lead multiple projects simultaneously.
Ability to link analytics with business outcomes.
Ability to develop deploy and manage data and analytics resources.
Skills in forecasting and planning based on business trends and data insights.
Commitment to ongoing professional development and staying current with industry trends and technologies.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.


Required Experience:

Manager

Employment Type

Full-Time

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