
Data Insights Engineer
14 hours ago
About Our Technology Hub:
We are a global airline leader in safety, innovation, and customer experience. Powered by our employees around the world, we have led the airline industry in operational excellence for a decade. With our mission of connecting people and cultures worldwide, we strive to foster understanding across diverse communities and serve as a force for social good.
Our Data Products team is seeking a Senior Analytics Engineer responsible for delivering high-quality integrated data assets that support creating analytical models and visualizations and deriving insights that drive personalization opportunities. The role requires an analytical mind with engineering chops and thinking at scale considering the needs of analysts and data scientists.
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 checkpoints and surface data drift or anomalies.
- Maintain a high standard for accuracy of data and build automated processes to catch issues proactively.
- Be the expert in critical customer experience data assets and maintain a catalog for reference.
- Develop visualizations in Tableau and occasionally support data science teams with exploratory data analysis and KPI development.
- Validate and performance-tune complex SQL queries.
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-driven 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.
WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS):
- Understanding Generative AI.
- Working knowledge of statistical/machine learning tools (e.g., scikit-learn).
- Prior experience with similar industries a plus.
- Self-motivated and take pride in building great products for key stakeholders.
- Resourceful in finding the data and tools needed to get the job done.
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