Data Analyst [T500-20905]

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.

Responsibilities:

Data Integration and Harmonization:

• Aggregate and normalize HR data from multiple platforms
• Implement data transformation and enrichment processes to support analytics and reporting needs.

Data Quality and Monitoring:

• Develop and implement data validation and monitoring frameworks to ensure data accuracy and consistency.
• Troubleshoot and resolve issues related to data quality, latency, or performance.

Collaboration with Stakeholders:

• Partner with teams, analysts, and data scientists to understand data requirements and translate them into technical solutions.
• Provide technical support and guidance on data-related issues or projects.

Tooling and Automation:

• Leverage cloud-based solutions and frameworks (e.g., AWS) to streamline processes and enhance automation.
• Maintain and optimize existing workflows while continuously identifying opportunities for improvement.

Continuous Learning and Innovation:

• Stay current with industry trends, tools, and technologies in data engineering and marketing analytics.
• Recommend and implement innovative solutions to improve the scalability and efficiency of data systems.

What you need to succeed (minimum qualifications):

• Bachelors or masters in data science, Business Analytics, Information Science, Computer Science, Statistics, or a related field.
• 2+ yrs of Experience as Data Analyst with experience in Python (NumPy & Pandas) including (Matplotlib / Seaborn) & EDA & SQL & Scikitlearn library.
• Experience with AWS DB - (S3 Bucket or Redshift) is required.
• Basic understanding of ETL / Glue data pipelines.

What will give you a competitive edge (preferred qualifications):

• Hands on Experience with Dashboarding e.g Quicksight
• Desired experience working with HR Data
• Experience working with Glue/Lambda to develop data pipelines
• Experience working with DBT