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Sr. Business Intelligence Engineer, Books Content Demand - Seattle, United States - Amazon
Description
Amazon strives to be the worlds most customer-centric company, where customers can research and make informed buying decisions for a physical good or for a digital product. We set audacious goals and are looking for people who can help us reach and exceed them. This is an opportunity to join the Books team at Amazon in support of our mission to inspire readers around the world.
Want to contribute to a more equitable society by helping people around the world read more and get more out of reading? We are looking for a Sr. Business Intelligence Engineer who will partner with teams across Kindle Content & Physical Books to disrupt societal inequities, delight marginalized customers, and advance Diversity, Equity, and Inclusion (DEI).
In this role you will collaborate with cross functional partners to identify practices and contributing factors that may unintentionally perpetuate societal inequities for readers, authors, and publishers. We are looking for an analytical, results-oriented, self-motivated, and customer-focused Sr. Business Intelligence Engineer to build critical data pipelines and analytics tools that will help us transform the way we engage with readers and help them find their next book. The candidate will work hand in hand with scientists and product managers to create measurement methodology and KPIs for Books DEI initiatives and other books projects and formulate data-driven hypotheses on future initiatives.
The ideal candidate will have excellent statistical and analytical abilities, outstanding business acumen and judgment, intense curiosity, and strong technical skills. They are a self-starter, comfortable with ambiguity, able to think big and be creative (while paying careful attention to detail), and enjoys working in a fast-paced dynamic environment. To be successful in this role, you should have broad skills in database design, be comfortable dealing with large and complex data sets, have experience building self-service dashboards and using visualization tools, while always applying analytical rigor to solve business problems.
Key job responsibilities
Write high quality optimized SQL to retrieve and analyze data from relational databases (ex. Redshift, MySQL, S3)
Identify technical solutions to solve the business problem including evaluation of platform/dashboard required, technical solution review, data design approach review, validation, code review, UAT testing and launch in line with best practices
Work closely with Data Engineers and business users to design and build ETLs for clean and scalable data sources required for analytics and reporting
Lead complex data analysis projects to identify opportunities for improvement and optimization
Drive seamless data/reporting and insights to enable data backed decision making, and drive leadership clarity around business metrics by enabling MBRs/QBRs/Pillar reviews/OP1 discussions.
Design, develop, and maintain real-time metrics, reports, analyses, dashboards, with full audit capabilities to support key business decisions for Books initiatives
Mentor and guide junior team members in data analysis and process improvement methodologies
Assist in the development and execution of strategic initiatives and analytical roadmaps
A day in the life
The day in the life of a BIE would involve managing multiple BI projects in a particular/multiple domains for Amazon Books, with a particular focus on disrupting societal biases across various stages of different projects. Day-to-day activities to include meetings across stakeholders on understanding business requirements, connecting with SDEs/ BIEs/ DEs to identify source data tables, brainstorming with Tech team on potential technical solutions/actions, data design review with BIEs, sprint prioritization reviews, code review with fellow BIEs and driving insights and documentation.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
Basic Qualifications
5+ years of experience as an analyst or engineer in the data/BI space with proven quantitative orientation
Advanced skills in SQL, ETL, Data Warehouse solutions and databases
Experience working directly with business stakeholders to translate between data and business needs
In-depth experience with data visualization using Tableau, Quicksight, or similar tools
Bachelors degree in Computer Science, Engineering, Math, Finance, Statistics or a related discipline
Experience/knowledge of AWS technologies like Glue, Sagemaker, EMR or other similar non AWS services such as databricks/Azure alternatives.
Experience/knowledge of orchestration tools such as AWS step functions or airflow
Advance expertise in building measures and metrics, and developing reporting solutions
Proven ability to structure complex analysis and perform the analysis to drive insights
Strong experience with statistical analytics and programming languages such as R, Python, PySpark or Spark
Strong written and verbal communication skills
Preferred Qualifications
Masters degree or higher in Statistics, Data Science, or an equivalent quantitative field
Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
Experience communicating results and business impact of analytical deep dives to senior leadership
Experience working as a BIE in a technology company
Proven work with science and engineering teams
Experience working in DEI analytics
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
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $104,300/year in our lowest geographic market up to $202,800/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 Applicants should apply via our internal or external career site.
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