DESCRIPTION
Are you passionate about building business insights that drive decision making at highest levels? Do you want to be part of fast-paced, ambiguous environment and contribute to Intellectual Property Protections charter?
As a BIE, from Day 1, you will be challenged with solving complex and ambiguous data and metric problems , creating datasets, reports and dashboards to metadata modeling, pipeline monitoring, and more.
What are we looking for?
Key job responsibilities
About the team
The IPP team is a part of Amazon's Selling Partner Services (SPS) organization. The team's vision is to use data provided by Brands in the Brand Registry to prevent Brands eligible for protections worldwide from ever seeing an ASIN on Amazon that has invalid data (e.g. misuse of trademarks, copyright) associated with their Brand on Amazon. We strive to make Amazon the best way for Selling Partners to operate their businesses by protecting their intellectual property while reaching customers locally and globally.
As a BIE, from Day 1, you will be challenged with solving complex and ambiguous data and metric problems , creating datasets, reports and dashboards to metadata modeling, pipeline monitoring, and more.
What are we looking for?
- You have a track record of end-to-end ownership and successfully delivering results in fast-paced and dynamic business environment.
- You live and breathe data. You are passionate about finding root causes, trends, and patterns and how they impact business. You use data to support your ideas and drive actionable outcomes, and draw inferences and conclusions based on data.
- You should be able to work on complex initiatives, deal with ambiguity and work with senior leaders
- You have extensive experience working with extremely large data sets and are comfortable with various tools and technologies to consume, extract and transform data.
- You have business communication skills to be able to work with product owners to understand key business questions, and are able to build solutions (analysis/ reports / dashboards) that enable product owners to answer those questions quickly and accurately.
- You are comfortable juggling competing priorities and handling ambiguity. You thrive in an agile and fast-paced environment on highly visible projects and initiatives.
Key job responsibilities
- Be highly data driven, resourceful, customer-obsessed and team oriented
- You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide.
- You will help translate analytic insights into concrete, actionable recommendations for business or product improvement.
- You will develop dashboards that provide insights into the health and state of the business, create analytics solutions to drive deep dives, and determine ways to measure impact.
- You will provide insights and 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.
- You will interact with internal program, product, engineering, data & science owners to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets.
- You will own the design, creation, and management of extremely large datasets.
- You will be responsible to tune query performance against large and complex data sets.
- You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices.
- Be able to clearly communicate strategic findings and recommendations
- Translate complex, technical concepts into business terms and vice versa
About the team
The IPP team is a part of Amazon's Selling Partner Services (SPS) organization. The team's vision is to use data provided by Brands in the Brand Registry to prevent Brands eligible for protections worldwide from ever seeing an ASIN on Amazon that has invalid data (e.g. misuse of trademarks, copyright) associated with their Brand on Amazon. We strive to make Amazon the best way for Selling Partners to operate their businesses by protecting their intellectual property while reaching customers locally and globally.
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary for this position ranges from $76,400/year up to $127,600/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.
Job details
CAN, BC, Vancouver
Business Intelligence
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