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Data Analyst T500-20905
Data Analyst T500-20905Delta Air Lines • Bengaluru, Republic Of India, IN
Data Analyst T500-20905

Data Analyst T500-20905

Delta Air Lines • Bengaluru, Republic Of India, IN
30+ days ago
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 & 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
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