August 14
• Manage the deployment of data products for League’s customers including the configuration of our data models based on the customer’s feature set. • Communicate directly with customers to coordinate product launches, as well as ongoing support with issues and questions about our data models • Collaborate with product and engineering teams to ensure that the impact on data sources and data models is considered during product development • Support data analysts, data scientists and product managers by understanding how they will be working with our data and adjust designs accordingly • Develop best practices for data model design and documentation, and promote the use of these practices by other members of the data team • Build strong relationships with both internal stakeholders and with customers • Identify opportunities for technical investments to help teams meet business objectives
• Strong SQL skills, comfortable working with python and experience working with a modern ETL framework, such as Airflow • Experience working as a data engineer, analytics engineer, data analyst or data scientist • Undergraduate or Masters degree in business administration, statistics, computer science or similarly quantitative discipline, or equivalent practical experience
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