Customer Business Intelligence Engineer

Summary

Join League as a Customer Business Intelligence Engineer and deploy data models to customer data environments, ensuring easy data usage and value extraction. You will leverage your expertise in data infrastructure and modeling to design, build, maintain, and optimize the data warehouse. Collaborate closely with backend developers, data analysts, and product managers to understand data sources, products, and downstream data model uses. This role requires strong communication skills to interact with customers and non-technical stakeholders, translating complex analysis into actionable insights. You will support data product deployment, communicate directly with customers, and collaborate with product and engineering teams. The ideal candidate possesses strong SQL and Python skills, experience with data pipeline orchestration, and a background in data engineering or a related field.

Requirements

• Strong SQL skills, comfortable working with python
• Experience working with data pipeline orchestration such as Airflow or Dataflow
• Experience working with data engineering stack on cloud platforms like AWS, Azure or GCP
• At least two years of 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

Responsibilities

• Support 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 to improve processes and technology to help teams meet business objectives
• Compliance with Information Security Policies
• Compliance with League’s secure coding practice
• Responsibility and accountability for executing League's policies and procedures
• Notification of HR, Legal, Compliance & Security of any incidents, breaches or policy violations

Preferred Qualifications

• Data analysis and data manipulation in Python (Pandas, PySpark, etc)
• Healthcare industry experience
• Worked with a SaaS company on customer facing data products
• Backend Software Engineering experience and understanding

Benefits

• Comprehensive Health Benefits: We prioritize your well-being with complete medical, dental, and vision coverage
• Bonus Program: Be rewarded for your contributions with our performance-based bonus program
• Employee Stock Option Program: Become an owner and share in our success through our stock option program
• Unlimited Paid Time Off: Take the time you need to recharge and maintain a healthy work-life balance
• Spending Accounts: Manage your healthcare and dependent care expenses with tax-advantaged spending accounts
• Wellness Days: Prioritize your mental and physical health with dedicated wellness days throughout the year
• Growth Opportunities: We invest in your future with abundant opportunities for professional development and advancement
• Mentorship Program: Benefit from guidance and support from experienced leaders in your field
• Flexible Ways of Working: Enjoy the freedom to work in a way that suits your life and boosts your productivity