In this role you will be responsible for solving complex and ambiguous data and metric problems. You will influence business-critical questions across multiple organizations and geographies. You should have a track record of end-to-end ownership and successfully delivering results in a fast-paced and dynamic business environment. You should be able to work on complex initiatives, deal with ambiguity and advocate on behalf of the customers.
Key job responsibilities
A successful candidate:
* Be highly data driven, resourceful, customer-obsessed and team oriented
* Be able to manage multiple projects - including planning, prioritization, and task delegation
* Design, develop, and implement scalable, automated processes for data extraction, processing, and evaluation
* Define data driven approaches and metrics strategy to uncover new insights
* Have a passion for sourcing, manipulating, and visualizing data to tell business stories
* Be able to clearly communicate strategic findings and recommendations
* Translate complex, technical concepts into business terms and vice versa
* Work with technology and data teams to support the development of tools and dashboards
About the team
We build data products that help Amazon improve the speed and accuracy of business management. Our team is split between New York and Seattle. Our team culture is based on inclusion, innovation, and respect.
BASIC QUALIFICATIONS
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- 3+ years of professional experience in a business analyst/data analyst/statistical analyst role
- 2+ years experience with SQL, ETL, Data Warehouse solutions and databases
- Experience with statistical analytics and programming languages such as Python
- Advanced skills in data visualization tools like Tableau or similar BI tools
- Ability to effectively communicate with both business and technical teams
PREFERRED QUALIFICATIONS
- Master's degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field
- 5+ years of industry experience working as a BIE or related specialty
- Proficient in statistical programming language (e.g., Python) for data extraction/ manipulation, statistical analysis/modeling, and automation
- Understanding of data warehousing and data modeling
- Familiarity with AWS solutions such as EC2, DynamoDB, S3, and Redshift
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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.