Amazon Business Intelligence Engineer Amazon Talent Acquisition 

India, Karnataka, Bengaluru 

640856543

This is a contract role for 1 year. Responsibilities:
• Provide data-driven, actionable insights to TA Leadership & Line Management
• Develop and Maintain Talent Acquisition scorecards, dashboards, and reports for use across ATA (and scalable Amazon-wide when possible)
• Design, develop, and evaluate statistical models (Clustering, Classification, Regressions, Time Series, et cetera)
• Establish scalable, efficient, and automated data processes
• Provide ad-hoc analytical support for TA Special Projects
• Develop and maintain relationships with key customer groups such as: TA Executive Leadership and 1st/2nd line Recruiting Management
• Develop User Stories and drive functional requirements gathering Basic qualifications:
• Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Information management system, Engineering)
• 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 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 scripting language (e.g., Python, Java, or R) Preferred Qualifications: • Experience working with large-scale databases and data warehouses.
• Knowledge of how to improve code quality and optimize BI processes (e.g. speed, cost, reliability).
• Knowledge of modeling techniques.
• Experience gathering business requirements, using industry-standard business intelligence tool(s) to extract data, formulate metrics, and build reports.
Key job responsibilities
Gather requirements from stakeholders to build a suite of analytical and reporting solutions, utilizing the Amazon recruitment tools.
Query data using SQL for ad-hoc analyses, and publish high-quality dashboards and reports on tools like QuickSight, Tableau, or Microsoft Excel.
Provide timely execution of the full project lifecycle, including project planning, execution, risk assessment, and ensuring system availability. Clearly articulate the results of your analyses to support the overall decision-making process.

- 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 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 scripting language (e.g., Python, Java, or R)

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