Data Analyst T5

1 week ago

Bangalore, India Delta Air Lines Full time

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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