Job Information
Amazon Business Intelligence Engineer II, MIM in Seattle, Washington
Description
Are you passionate about applying your analytical perspective and big data skillset to help stakeholders answer questions impacting real-world decisions, including investments worth billions of dollars? Are you looking for an opportunity to join a team that has a global and cross-Amazon scope? If yes, we are looking for somebody with your enthusiasm and skills to join our team. We are a central analytics team that owns Amazon’s measurement of marketing incrementality for variable spend, including data collection, analytics, and machine learning approaches. We aspire to be the place where Amazon teams come for answers about the impact and efficacy of their marketing strategies and campaigns, and the trusted source for data and insights that systems and business leaders leverage to make better decisions. By shaping these decisions, we shape how customers interact with Amazon and value that experience.
As a Business Intelligence Engineer II on our team, you must be enthusiastic about translating complex and ambiguous problem statements into actionable solutions that efficiently leverage large volumes of data. To do this, you will work with one of the world’s largest and most complex data environments, supporting products deployed across Amazon and around the world. You will need to design, implement, and maintain stable, scalable, and low-cost solutions to pull data from production systems into a data warehouse and further transform it into stakeholder-facing self-service dashboards. You will work closely with stakeholders within and external to our team, to understand their business questions, translate these into requirements, and prioritize and implement deep dives as well as improved reporting solutions. You will need to collaborate cross functionally with product managers, machine learning scientists, economists, and software development engineers, and will be an expert in how and why stakeholders use the data produced by our team. This will help you dive deep into existing and new data sources, producing analyses that improve our understanding of data relationships and trends, and identifying opportunities for improving how our customers interface with our data.
Key job responsibilities
Key job responsibilities include:
Translating business questions into an analytical framework that can be answered with existing data using BI tools; producing the required data if it is not immediately available
Delivering efficient data queries that accurately address the business question at hand
Applying known statistical and machine learning methods to specific business problems and data, and translating these outputs into terms business stakeholders can understand and leverage.
Demonstrating curiosity about business questions and an ability to reason with data, leveraging your knowledge of the wider product and business landscape to explain trends in data and the relationships between different data elements, and to suggest, prioritize, and explore paths for further analysis.
Ensuring data and code quality through all stages of data acquisition, processing, and delivery.
Demonstrating strong written and verbal communication skills, which you will use when answering customer questions live in office hours, offline through ticket responses, and in more detailed reports and deep dives.
Collaborating effectively with colleagues who are experts in a range of disciplines, including business, science, and engineering.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
Basic Qualifications
Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
Advanced skills in Excel and experience with data reporting and visualization using Tableau, Quicksight, SuperSet, or similar tools.
Experience articulating business questions and translating such questions into queries that will deliver accurate answers.
Ability to operate successfully and independently in a fast-paced environment.
Comfort with ambiguity and eagerness to learn new skills.
Preferred Qualifications
Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
Experience developing, building, and launching a roadmap of reusable and scalable self-service data analytics products.
Working knowledge of a scripting language (e.g., Python, R) and experience processing data for modeling.
Demonstrated success turning data deep dives into actionable business recommendations.
Experience in working with technical and non-technical business partners, including representatives of stakeholder teams.
Experience in working with machine learning models and collaborating with applied scientists.
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 $79,600/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.