Primary Functions:
- Gather, analyze, and leverage large sets of raw data to deliver actionable insights using SQL, SAS, Python, and other technologies.
- Identify opportunities to create business value through analytics projects.
- Develop AI/ML models to deliver personalized experiences to customers, improve acquisition and engagement efforts through precise targeting, and drive customer satisfaction and loyalty.
- Recommend and implement customer data models and tools to make data and insights accessible to Loyalty and other divisions at Delta.
- Track and report key performance metrics across all areas of Customer Engagement & Loyalty.
- Collaborate with business owners to take a data-driven approach in identifying revenue or customer engagement opportunities and recommend actions for further improvement.
- Communicate engagement trends and opportunity areas to the team, business stakeholders, and senior leaders in a concise and easily consumable way through both written and verbal communication.
WHAT YOU NEED TO SUCCEED (MINIMUM QUALIFICATIONS)
- 3 to 6 years of relevant experience.
- Bachelor's or Master's degree in data science, statistics, mathematics, computer science, or engineering.
- Strong experience and expert-level proficiency in building AI/ML models and delivering end-to-end data science projects.
- Deep understanding of various machine learning techniques, the ability to formulate an analytical problem, and to choose the best technique for the data and the business objective.
- Expert-level proficiency inSQL and Python.
- Intermediate proficiency in data visualization tools such as Power BI, Tableau, etc.
- Ability to drive business conversations and present model results and insights to business stakeholders using tools such as PowerPoint.
- Ability to function effectively in a fast-paced environment.
- Problem-solving skills with the ability to translate data into actionable insights.
- 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 Analytics applications across the Customer lifecycle in any industry
- Working knowledge of statistical/machine learning tools (e.g., R, TensorFlow) preferred
- Experience in designing data models for cloud-based solutions from leading cloud providers such as AWS, Azure, etc.
- 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.
