Amazon
Business Intelligence Engineer II, Legal Litigation
Amazon, Seattle, Washington, us, 98127
Are you passionate about data? Does the prospect of dealing with massive volumes of data excite you? Do you want to create the next-generation tools for intuitive data access? Are you interested in creating the most innovative Legal department in the world, solving unique operational challenges no other company has tackled? Operating at Amazon’s scale demands intelligent systems, and a business operations mindset, to wrangle the tens of thousands of incoming legal requests and claims with increasing efficiency as Amazon grows.In this role, you will sit with the Litigation and Regulatory Operations team, and work with paralegals, business analysts, Legal technologists, lawyers and global business leaders to operationalize the production of legal work and reduce risk for Amazon. You’ll enjoy breaking things to see how they work, improving on what works, discarding what doesn't, and learning from both. You should be passionate about technology and solving high-impact, ambiguous, business problems in the legal space.Key job responsibilities
Design, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.Work with PMs and Business stakeholders in understanding the business requirements and implementing solutions to support analytics and reports.Conduct ad hoc data analysis and data quality investigations.Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve reporting tools.Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis.Analysis of historical data to extract meaningful insights and learnings from large and complicated data sets identify trends and support decision making, including written and verbal presentation of results and recommendations.Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning models.Understanding of Amazon’s data resources, which to use, how, and when.A day in the life
We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment.If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!Minimum 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.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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
https://www.amazon.jobs/en/disability/us .Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location 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. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Design, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.Work with PMs and Business stakeholders in understanding the business requirements and implementing solutions to support analytics and reports.Conduct ad hoc data analysis and data quality investigations.Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve reporting tools.Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis.Analysis of historical data to extract meaningful insights and learnings from large and complicated data sets identify trends and support decision making, including written and verbal presentation of results and recommendations.Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning models.Understanding of Amazon’s data resources, which to use, how, and when.A day in the life
We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment.If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!Minimum 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.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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
https://www.amazon.jobs/en/disability/us .Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location 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. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.
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