The Business Performance Analytics team is responsible for providing powerful and insightful metrics, dashboards, and reports to our customers in the Component & Engine Maintenance and MRO teams. We’re seeking an experienced pipeline-centric data engineer to work with existing data layers and to create and support a data platform utilizing the latest technologies such as SAS, Python, AWS, MS SQL, etc. Ideally, candidates will wear many hats in the role, but much of the focus will be on building out our ETL processes utilizing SAS/Python, writing SQL, and working with API. Beyond technical prowess, the data engineer will need soft skills for clearly communicating highly complex data trends to organizational leaders. We’re looking for someone willing to jump right in and help the company get the most from its data.
Key Job Functions:
Provide lead Data expertise in the creation and enhancement of decision support systems for the MRO Business Performance team. Leverages emerging technologies and identifies efficient and meaningful ways to communicate data and analysis to satisfy divisional needs. Leads inter/intra-departmental initiatives that improve usability of data and end-user satisfaction. Demonstrated ability to think tactically and strategically to improve the quality and efficiency of existing processes. Develop dynamic automated processes that create reports, metrics, and scorecards. Candidate success will depend on
- Working with data to solve business problems, building and maintaining the infrastructure to answer questions, and improve processes
- Help streamline our ETL workflows, adding value to our product offerings and building out the customer lifecycle and retention models
- Utilize Tableau to provide data visualization
- Collaborate and develop data models and pipelines for research, reporting, and machine learning
- Be an advocate for best practices and continued learning
- Represent the team in interactions with other TechOps business units.
Practices safety-conscious behaviors in all operational processes and procedures.