Senior Analytics Engineer
6 days ago
Primary Functions:
- Gather and transform large sets of raw data into well-built integrated data assets using SQL, SAS, AWS Glue or other emerging technologies.
- Write, validate and performance-tune complex SQL queries.
- Recommend, build, and monitor robust and extensible data models that capture the business performance from a customer experience lens.
- Support data quality testing along critical check points to surface data anomalies.
- Be the expert in critical IFEC data assets and support data documentation
- Develop visualizations in Power BI and occasionally support data science teams with exploratory data analysis and KPI development.
- Support the IFEC Analytics, Performance, & Tech team members with standard processes on SQL, AWS, Power BI and other systems
WHAT YOU NEED TO SUCCEED (MINIMUM QUALIFICATIONS):
- Bachelors degree in computer science, data science, engineering, mathematics, or statistics
- Expert in SQL, strong experience in Python, and data processing tools such as Glue (or SAS)
- Proficient with Power BI and advanced data visualization
- High attention to detail, solution-oriented and capable of meeting or exceeding deadlines in a fast-paced environment
- Embraces diverse people, thinking, and styles
- Consistently makes safety and security, of self and others, the priority
WHAT WILL GIVE YOU A COMPETITIVE EDGE (PREFERRED QUALIFICATIONS):
- Working knowledge of statistical/machine learning tools (e.g., R, scikit-learn)
- Prior experience with Delta or other airline or Hospitality data a plus
- Self-motivated and take pride in building great products for key partners
- 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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