Sr Business Intelligence Engineer , Intellectual Property Protection
Vancouver, British Columbia, CAN
Full Time Senior-level / Expert USD 97K - 162K
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...
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 Sr. 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.
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Knowledge of data warehousing and data modeling
- Experience managing, analyzing and communicating results to senior leadership
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 $97,400/year up to $162,600/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.
As a Sr. 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
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience with AWS technologies
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Knowledge of data warehousing and data modeling
Preferred Qualifications
- Experience working directly with business stakeholders to translate between data and business needs- Experience managing, analyzing and communicating results to senior leadership
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 $97,400/year up to $162,600/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 stats:
0
0
0
Categories:
Big Data Jobs
Engineering Jobs
Tags: Agile AWS Business Intelligence CX Data Mining Data Warehousing Engineering Machine Learning Python SQL Statistics
Perks/benefits: Career development Equity / stock options Health care
Region:
North America
Country:
Canada
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Principal Data Engineer jobsPower BI Developer jobsSr. Data Engineer jobsBI Developer jobsStaff Data Scientist jobsStaff Machine Learning Engineer jobsPrincipal Software Engineer jobsData Science Intern jobsDevOps Engineer jobsJunior Data Analyst jobsData Science Manager jobsSoftware Engineer II jobsData Manager jobsData Analyst Intern jobsLead Data Analyst jobsStaff Software Engineer jobsBusiness Data Analyst jobsAccount Executive jobsData Specialist jobsAI/ML Engineer jobsSr. Data Scientist jobsData Governance Analyst jobsBusiness Intelligence Analyst jobsSenior Backend Engineer jobsData Engineer III jobs
Consulting jobsMLOps jobsAirflow jobsOpen Source jobsLinux jobsEconomics jobsKPIs jobsJavaScript jobsKafka jobsTerraform jobsGitHub jobsData Warehousing jobsPostgreSQL jobsRDBMS jobsScikit-learn jobsNoSQL jobsComputer Vision jobsStreaming jobsClassification jobsBanking jobsPhysics jobsGoogle Cloud jobsPrompt engineering jobsRAG jobsOracle jobs
Pandas jobsHadoop jobsR&D jobsBigQuery jobsData warehouse jobsScala jobsdbt jobsLooker jobsGPT jobsReact jobsScrum jobsPySpark jobsDistributed Systems jobsLangChain jobsCX jobsELT jobsIndustrial jobsMicroservices jobsSAS jobsJira jobsRedshift jobsOpenAI jobsJenkins jobsModel training jobsRobotics jobs