Our team is looking for a Business Intelligence Manager to lead a team of business intelligence engineers to deliver insights and analysis across our product portfolio. You will own metrics, dashboards and measurement across platforms and products which help Amazon Logistics (North America) to operate efficiently by automating the data flow of learning metrics and impact through or Leader and Associate Program teams.
Key job responsibilities
- Manage and lead a team of Business Intelligence Engineers and own organization wide analytical solutions including metrics, attributions etc.
- Work with in-house scientists, product management, engineering, and business teams to identify new BI capabilities and projects
- Contribute to the design, implementation, and delivery of BI solutions for complex and ambiguous problems
- Analyze and solve problems at their root, stepping back to understand the broader context.
- Use data mining, model building, and other analytical techniques to develop and maintain customer segmentation and predictive models to drive the business.
- Identify opportunities and key criteria to drive analytical reporting and business strategy
- Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting
- Simplify and automate reporting, audits, and other data-driven activities
- Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation
- Learn new technology and techniques to meaningfully support product and process innovation
About the team
We serve AMZL’s Learning teams as the strategic thought leader, looking beyond where other teams are focused to drive transformative solutions that leverage technology and processes to improve learning outcomes and drive down the cost to serve.
BASIC QUALIFICATIONS
- 5+ years of business intelligence and analytics experience
- 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience
- Experience with SQL
- Experience with ETL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software
PREFERRED QUALIFICATIONS
- 4+ years of working with very large data warehousing environment experience
- 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience
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 $129,100/year in our lowest geographic market up to $223,100/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.