Business Intelligence Engineer I, WW Ops Finance S&A, WW Ops Finance S&A

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.

Key job responsibilities
The ideal candidate is a seasoned data professional with strong bias for action data modeling ETL SQL and scripting 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 identify complex/abstract problems and discovering insights through the use of statistical data mining and visualization techniques. Further you will help automate processes by developing deep-dive tools UIs metrics and dashboards to communicate these insights in real time to the business teams. Successful members of this team collaborate effectively with business customers cross-functional data management teams to solve problems and implement new solutions.

A day in the life
You will be building foundational datasets for BR & MX operations finance business. These datasets will power the xBRs MECs for the Latam region. You will be owning maintaining and eventually migrating /automating legacy data pipelines stacks that power key dashboards and reports that are actively consumed by Latam leadership

- 2 years of analyzing and interpreting data with Redshift Oracle NoSQL etc. experience
- Experience with data visualization using Tableau Quicksight or similar tools
- Experience with scripting language (e.g. Python Java or R)
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience with data modeling warehousing and building ETL pipelines

- Masters degree or Advanced technical degree
- Experience in data mining ETL etc. and using databases in a business environment with large-scale complex datasets
- Experience with AWS solutions such as EC2 DynamoDB S3 and Redshift
- Experience in writing complex highly-optimized SQL queries across large datasets

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at TX Irving - 82300.00 - 144000.00 USD annually