Senior Analytics Engineer [T500-20251]

About Delta Tech Hub :

Delta Air Lines (NYSE : DAL) is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by our employees around the world, Delta has for a decade led the airline industry in operational excellence while maintaining our reputation for award-winning customer service. With our mission of connecting the people and cultures of the globe, Delta strives to foster understanding across a diverse world and serve as a force for social good. Delta has fast emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives. It will sustain our long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions. It supports various teams and functions across Delta and is an integral part of our transformation agenda, working seamlessly with a global team to create memorable experiences for customers.

Role Description :

Delta’s PX, Data Products team is seeking a Senior Analytics Engineer responsible for delivering high quality integrated data assets that support creating analytical models and visualizations and deriving insights that drive personalization opportunities. The role will have an analytical mind with engineering chops and thinks at scale considering the needs of analysts and data scientists. The successful candidate will have top notch technical skills, strong analytics exposure and understanding of Delta’s customer journey to help drive decisions throughout the organization.

Primary Functions :

• Gather and transform large sets of raw data into well-built integrated data assets using SQL, AWS Glue or other emerging technologies.
• Recommend, build, and monitor robust and extensible data models that capture business performance from a customer experience lens.
• Identify and execute data quality testing along critical check points and surface data drift or data anomalies.
• Maintain a high standard for accuracy of data and build automated processes to catch issues proactively and report.
• Be the expert in critical customer experience data assets and maintain a catalog for reference.
• Lean into developing visualizations in Tableau and occasionally support data science teams with exploratory data analysis and KPI development.
• Validate and performance-tune complex SQL queries.
• Train team members on SQL, AWS, and Tableau best practices

WHAT YOU NEED TO SUCCEED (MINIMUM QUALIFICATIONS) :

WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS) :