Job Description

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):

Bachelor’s or master’s 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 & Scikit learn library.
Experience with AWS DB - (S3 Bucket or Redshift) is required.
Basic understanding of ETL / Glue data pipelines.

Behavioral Competencies:

Ability to work in collaborative environments and embrace diverse perspectives.
Communicate clearly and concisely, express thoughts and ideas effectively, and embrace cultural differences with respect when engaging with others.
Ability to engage effectively with peers and stakeholders to build strong partnerships.
Prioritize, maintain focus, and consistently deliver commitment.
Proactively understand customer expectations and willingness to create customer-based solutions.

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