In this role you will:
- Design, develop and maintain scaled, automated, user-friendly systems, reports, APIs, dashboards, etc. that will support our business needs.
- Partner with operations/business teams/science/and tech teams to consult, develop and implement KPI’s, automated reporting/process solutions and data infrastructure improvements to meet business needs.
- Help drive new initiatives and data integration projects
- Apply your deep analytic and business intelligence skill to extract meaningful insight and learning from large and complicated data sets.
- Serve as liaison between the Business and Product/Technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations.
- This is a great opportunity to develop into a leadership position as you will be among the first joining this new area/team.
Key job responsibilities
* Own the design, development, and maintenance of datasets, ongoing metrics, analyses and dashboards to drive key business decisions.
* Develop queries and visualizations for ad-hoc requests and projects, as well as ongoing reporting.
* Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
* Use analytical and statistical rigor to identify performance gaps and opportunities for optimization.
* Support central BI team in reporting on global marketing efforts.
* Promote best practices in ETL and mentor your team.
A day in the life
* Use technical expertise to suggest ways to improve processes and incorporate operational excellence best practices
* Use analytical and statistical rigor to answer business questions and drive business decisions
* Recognize and adopt best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation
* Improve the Knowledge management environment by providing guidance in technical documentation / working papers
About the team
Measurement, Effectiveness & Insights
BASIC 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
PREFERRED QUALIFICATIONS
- 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.