DESCRIPTION

Does data platform standardization and data engineering automation driving analytics and reporting excite you? Do you thrive in a fast paced, ambiguous environment, enjoy transforming data into actionable recommendations, implement data governance standard practices, define best practices of data access, quality, consistency and innovate to deliver world-class business intelligence? If yes, then look no further! The Worldwide Operations Finance Standardization & Automation (SnA) team is looking to hire a focused & customer-centric Business Intelligence Engineer to establish a standardized data platform with clean, reliable and accessible data feeds allowing Operations Finance customers to trust the data, technology and the tools and help become more data aware and make data-driven business decisions. In this role you will work on the NAWS tech stack and CDK platform and has a great overlap with Data engineering technologies.

Key job responsibilities
The ideal candidate is a seasoned data professional with strong bias for action, data modeling, ETL, SQL and Python skills. In this role you will help identify complex business problems, identify opportunities and implement solutions to improve Operations Finance facing systems, processes and tools. The successful candidate will be a self-starter, quick learner, comfortable with ambiguity, result oriented with strong attention to detail, insists on high standards, shows ability in decision making and ready to adapt in a fast paced business changing circumstances. You will be responsible for setting data modeling standards, building complex data pipelines in NAWS tech stack, building and maintaining multiple databases, identify complex/abstract problems and discovering insights through the use of statistical models. Successful members of this team collaborate effectively with business customers, cross-functional data management teams to solve problems, and implement new solutions.

BASIC QUALIFICATIONS

– Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
– Experience with data visualization using Tableau, Quicksight, or similar tools
– Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
– Experience with SQL
– Experience in the data/BI space

PREFERRED QUALIFICATIONS

– Master’s degree, or Advanced technical degree
– Knowledge of data modeling and data pipeline design
– Experience with statistical analysis, co-relation analysis

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 $74,100/year in our lowest geographic market up to $165,600/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.

USA, TN, Nashville