Job Title: Business Intelligence Engineer
Are you passionate about leveraging data to drive business and customer impact? This role involves driving the analytical revolution in the Talent Acquisition (TA) space, helping transform how Amazon operates by providing thoughtful analysis and data-driven insights. As a Business Intelligence Engineer, you will build new analytical capabilities from the ground up, using data to develop models that measure performance and report on key metrics. You will have the opportunity to experiment with new ideas, build reports, and provide actionable insights that optimize the TA process.
Location: ADCI - Karnataka, India
Job ID: 2781987
Key Responsibilities:
- Data-Driven Insights: Provide actionable insights to Talent Acquisition (TA) Leadership and Line Management by analyzing data.
- Scorecards & Dashboards: Develop and maintain Talent Acquisition scorecards, dashboards, and reports that can be scaled across Amazon.
- Statistical Models: Design, develop, and evaluate statistical models, including clustering, classification, regression, and time series models.
- Automated Data Processes: Establish scalable and automated data processes for efficient reporting and analysis.
- Ad-Hoc Analysis: Provide ad-hoc analytical support for special projects within the TA domain.
- Stakeholder Management: Build and maintain relationships with key customer groups such as TA executive leadership and recruiting management.
- Functional Requirements Gathering: Develop user stories and drive the gathering of functional requirements.
Basic Qualifications:
- Educational Background: Bachelor's degree or higher in a quantitative or technical field such as Computer Science, Information Management Systems, or Engineering.
- Data Analysis: 2+ years of experience in analyzing and interpreting data using Redshift, Oracle, NoSQL, etc.
- Data Visualization: Experience with data visualization tools such as Tableau, QuickSight, or similar platforms.
- Statistical Methods: Proficiency with statistical methods like t-tests and Chi-squared tests, along with analytics tools like Excel, Tableau, QuickSight, PowerBI, etc.
- Scripting Languages: Experience with scripting languages like Python, Java, or R.
Preferred Qualifications:
- Large-Scale Databases: Experience working with large-scale databases and data warehouses.
- BI Process Optimization: Knowledge of improving code quality and optimizing Business Intelligence processes for speed, cost, and reliability.
- Data Modeling: Strong understanding of data modeling techniques and experience in designing data pipelines.
- Requirement Gathering: Experience gathering business requirements, formulating metrics, and building reports using BI tools.
- Advanced Degree: A Master’s degree or Advanced technical degree in a relevant field.
- Statistical Analysis: Advanced experience with statistical analysis and correlation analysis.
Key Job Responsibilities:
- Requirement Gathering: Collaborate with stakeholders to gather requirements and build analytical and reporting solutions using Amazon recruitment tools.
- SQL Querying: Query data using SQL for ad-hoc analysis and publish dashboards and reports on tools like QuickSight, Tableau, and Excel.
- Project Lifecycle: Manage the full lifecycle of projects, including planning, execution, risk assessment, and system availability.
- Cross-Functional Projects: Lead cross-functional projects aimed at improving operational performance and enhancing the candidate experience.
- Clear Communication: Clearly communicate analytical findings and insights to influence decision-making.
This role is ideal for candidates passionate about business intelligence, who possess technical skills in data analysis, modeling, and visualization, and who are interested in transforming data into actionable insights that can drive Amazon’s Talent Acquisition strategy forward.