
Data Scientist Architect
5 days ago
About Delta Tech Hub:
Delta Air Lines is the U.S. global airline leader in safety, innovation, reliability and customer experience. Powered by its employees around the world, it has led the industry in operational excellence for a decade while maintaining a reputation for award-winning customer service.
The company strives to foster understanding across a diverse world and serve as a force for social good. It has emerged as a customer-oriented, innovation-led, technology-driven business. The Delta Technology Hub will contribute directly to these objectives.
It will sustain long-term aspirations of delivering niche, IP-intensive, high-value, and innovative solutions that support various teams and functions across the organization.
Role Description:
A Senior Analytics Engineer is responsible for delivering high-quality integrated data assets that support analytical models and visualizations. This role requires 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 the 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):
- Bachelor's degree in computer science, data science, or engineering
- 3 to 6 years of relevant experience in data-drive solutions.
- Expert in writing Advance / Complex SQL queries with strong experience in Python (NumPy & Pandas) and EDA and data processing / data infra tools such as AWS Glue, S3 or Redshift.
- Proficient with Tableau or Power Bi for advanced visualization.
- Focused on Data Infrastructure (AWS focused - DE standpoint) and Analytics.
WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS):
- Understanding of General AI
- Working knowledge of statistical/machine learning tools
- Prior experience with airline or Hospitality data a plus
- Self-motivated and take pride in building great products for key stakeholders.
- Resourceful in finding the data and tools you need to get the job done.
- Not afraid to ask for help when you need it or help teammates when they need a boost.
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