[27/09/2025] Business Intelligence Engineer, Amazon Talent Acquisition

DESCRIPTIONAre you passionate about driving business and customer impact through thoughtful analysis and data-driven insights Are you a scientific thinker and a deeply technical individual who enjoys working with customers to transform how a business operates Are you a builder that excels with ambiguity We are looking for a Business Intelligence professional to drive our analytical revolution in the Talent Acquisition TA space You will have the opportunity to work on a ground-up rebuild of our analytical capabilities from data ingress to building models to measure performance metrics to end-user reporting and beyond In this role you will invent and build on behalf of candidates experiment and test new ideas evangelize successes and drive consistency The ideal candidate is an independent Business Intelligence practitioner who can source data cleanse analyze refine enrich model present automate and document their findings You will always be on the lookout for ways to optimize the information flow process stay on top of the latest trends in Business Intelligence and Data Warehousing and be able to coordinate and work on multiple related projects 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 Execute cross-functional high-impact projects to improve operational performance and candidate experience Perform business analyses and query data using SQL direct front-end system extracts VBA macros and other appropriate tools Clearly articulate the results of your analyses to support the overall decision-making process BASIC QUALIFICATIONS- 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- Master s degree or Advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with statistical analysis co-relation analysis