AWS Marketplace is a digital catalog where customers can find, buy and deploy the third-party software, data, and services needed to run their business. To learn more about AWS Marketplace, our categories and the services we support, please visit: https://aws.amazon.com/mp/marketplace-service/overview/
We are looking for a creative and curious Business Intelligence Engineer to help own our next generation of reporting and modeling tools. You will own the development and evolution of analyses, dashboards and forecasts supporting a rapidly growing Product and Engineering organization. In this role you will partner closely with Product, Engineering and Finance teams to define and deliver on a long-term roadmap and own delivery of the same. You will be responsible for evangelizing data throughout the product lifecycle and surfacing prescriptive insights. The ideal candidate is curious, intuitive and eager to innovate.
Responsibilities:
– Engage with Product and Engineering to drive and implement critical metrics, forecasts and analyses. This role will largely focus on decision science and scaling our strategic insights to business leadership.
– Define and deliver concise and actionable data visualizations.
– Develop insights for internal stakeholders to help them better understand their AWS Marketplace business performance.
– Build and maintain basic ETL pipelines from a variety of sources
– Recognize and adopt best practices in reporting and analysis.
Life/work balance
Our team is focused on balancing life with work, and does this via work autonomy and by prioritizing solutions and processes that enable us to scale faster than the business.
Mentorship and Career Growth
One of the keys to AWS’s success is its top-tier product management culture. You will have the opportunity to work with multiple AWS business lines that can help you accelerate your career and bring ideas to market. You will be working closely with key internal stakeholders (e.g. Marketplace Product Management & Engineering, AWS field teams, AWS Services (e.g. S3, EC2), migration teams, services, legal, operations and support).
Inclusive and Diverse Culture
Working with a team that welcomes, celebrates, and leverages a diverse set of backgrounds and skillsets to deliver results is exciting. Partnering with others in the organization is key to our long term success and is what helps frame our inclusive culture.
We are open to hiring candidates to work out of one of the following locations:
Arlington, VA, USA | Austin, TX, USA | Charlotte, TX, USA | Jersey City, NJ, USA | Seattle, WA, USA | Sumner, WA, USA
BASIC QUALIFICATIONS
– 4+ 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 writing complex SQL queries
PREFERRED QUALIFICATIONS
– Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
– Experience with forecasting and statistical analysis
– Experience working as a BIE in a technology company
– Bachelors Degree
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. Applicants should apply via our internal or external career site.