Sr Business Intelligence Engineer, Executive Talent Management Analytics

$117,300 - $202,800/Yr

Amazon - Seattle, WA

Full-time - Mid Level

Seattle, WA

10,001+ employees

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Senior Business Intelligence Engineer for Executive Talent Management Analytics at Amazon plays a crucial role in leveraging employee data to enhance talent programs and processes across the organization. This position involves collaborating with leaders and stakeholders to identify opportunities, design products, and develop data-driven insights that influence decision-making at the executive level. The role requires a blend of technical expertise in data analysis and strong communication skills to present findings effectively to non-technical audiences.

Responsibilities

• Align with leaders and customers to translate business issues into testable hypotheses answerable with data.
• Develop and execute analyses to drive talent insights.
• Create data capture and measurement strategies that drive business action.
• Drive a roadmap from descriptive to predictive analytics, moving routine tasks to self-service for your client group.
• Work closely with peers and stakeholders to access, pull, transform, and analyze data from a variety of PXT sources.
• Gather new data, and/or creatively use existing data to propose metrics and present them in compelling but easily understood way to a non-statistical audience.
• Apply statistical tests to data, including (but not limited to), t-tests, chi-square, and regression.
• Compile results in a concise, meaningful, and actionable format and share findings to senior leadership.
• Build processes to scale fast and accurate on-demand and ad hoc data/analytical requests for leadership and key stakeholders.

Requirements

• 5+ years of SQL experience
• Experience with theory and practice of design of experiments and statistical analysis of results
• Experience with AWS technologies
• Experience in scripting for automation (e.g. Python) and advanced SQL skills
• Experience with theory and practice of information retrieval, data science, machine learning and data mining
• Experience with data visualization using Tableau, Quicksight, or similar tools

Nice-to-haves

• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership
• Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
• Master's degree in statistics, data science, or an equivalent quantitative field
• Strong verbal/written communication & data presentation skills, including an ability to effectively develop and communicate clear, thoughtful, and comprehensive analyses.

Benefits

• Flexible working hours
• Mentorship and career growth opportunities
• Inclusive team culture
• Diversity and inclusion initiatives
• Comprehensive medical, financial, and other benefits