Analytics Manager, Trustworthy Shopping Experience, Operations

At Amazon.com, we strive to be Earth's most customer-centric company. To support this vision, we need exceptionally talented, bright, and driven people. If you would like to help us build the place to find and buy anything online, this is your chance to work hard, have fun, and make history. At the core of the position is passion for protecting Amazon?s reputation and the customer experience and trust.

An ideal candidate for this role:

Develop insights that will help business and operation teams to take strategic decisions that will impact top line or bottom line for the company

Will have experience in working with cross-functional leaders to understand their data needs and partner with them to build data solutions

Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies

Will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide

Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format

Will be passionate about finding root causes, trends, and patterns and how they impact business.

Will draw inferences and conclusions, create dashboards and visualizations of processed data

Will have business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately

. Will be very comfortable juggling competing priorities and handling ambiguity

. Will thrive in an agile and fast-paced environment on highly visible projects and initiatives

. Will be keen to solve unstructured/ambiguous problems

. Will be able to build and manage teams, and provide mentorship to team members

A day in the life

As an Analytics Manager, you will help develop data solutions to drive deep dives, provide insights into the health and state of the Operations and measure business impact. You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytic insights into concrete, actionable recommendations for business or product improvement.

About the team

Our team strives to make Amazon the best way for Partners to reach customers locally and globally and to operate their businesses, driven by the accurate and efficient support and solutions we provide them. The team is being grown to provide insights and provide analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors, improve customer experience and predict & recommend the optimizations for future state.

Basic Qualifications

5+ years of tax, finance or a related analytical field experience

5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience

5+ years of business analyst, data analyst or similar role experience

1+ years of experience of managing team members

Experience defining requirements and using data and metrics to draw business insights

Experience making business recommendations and influencing stakeholders

Experience with Excel

Preferred Qualifications

Bachelor's degree or equivalent. Any degree or equivalent in statistics or data analytics will be helpful, but not mandatory.

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