Business Intelligence Engineer, WW Ops Finance S&A
Description For Business Intelligence Engineer, WW Ops Finance S&A
Join Amazon's Worldwide Operations Finance Standardization & Automation (S&A) team as a Business Intelligence Engineer, where you'll drive analytics and reporting through data standardization and process automation. This role combines technical expertise with business acumen, requiring strong SQL, data warehouse, and Python skills. You'll be responsible for designing and maintaining metrics, reports, and dashboards that drive key business decisions. The position demands excellent analytical capabilities, attention to detail, and effective collaboration skills with global teams. Working in Amazon's fast-paced environment, you'll transform data into actionable insights while implementing data governance best practices. The role offers the opportunity to impact business decisions through data-driven solutions, working with cutting-edge technologies in a dynamic, innovative environment. Perfect for those passionate about data analytics who want to contribute to one of the world's leading technology companies.
Responsibilities For Business Intelligence Engineer, WW Ops Finance S&A
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards
- Ensure data accuracy by validating data for new and existing tools
- Combine knowledge of statistical methodology and analysis with programming skills
- Collaborate on forecasting models, metrics, reports, analyses, tools, and dashboards
- Respond to ad-hoc analytical requests
- Implement training and documentation solutions
Requirements For Business Intelligence Engineer, WW Ops Finance S&A
- Experience in the data/BI space
- Experience with SQL
- 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 and statistical methods
- Experience with scripting language (e.g., Python, Java, or R)
- Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)
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