The role
As a Senior Customer Business Intelligence Engineer, you will deploy data models to our customers’ data environments and work with those customers to ensure they can quickly and easily work with our data and derive value from it. In this role, you will use your expertise in data infrastructure and data modelling to design, build, maintain and optimize our data warehouse to provide clean and robust data sets to both internal and external stakeholders. You will be working closely with backend developers to understand our data at its source, as well as with data analysts and product managers to understand our products and features, and downstream uses of our data models.
People who have worked within cross-functional and multi-disciplined teams (and enjoyed doing so) will thrive in this role. Furthermore, you have experience in tying numbers to a larger, more strategic, business context. You enjoy communicating with customers and non-technical stakeholders, using the art of converting simple questions into complex analysis and translating them back into meaningful and actionable insights.
Our data team also manages an internal Business Intelligence product that primarily leverages a SQL-based ETL to surface key performance indicators company-wide within Looker. You will be working closely with data engineers and data scientists on the team to build and maintain our data pipelines to ingest and transform data from a variety of sources to support these BI tools.
In this role, you will:
- 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
Attributes
- You care deeply about using information and data in decision-making and have experience in communicating that logic to stakeholders.
- You are a strong problem solver and can communicate the challenges and solutions effectively
- You are a strong communicator and comfortable collaborating with groups and at times, training or educating teams to use data tools or to understand results
- You drive to learn and master new technologies and techniques.
- You like working in a fast-paced environment and are comfortable managing multiple tasks to tight deadlines.
- You are eager to learn from others and help others grow with you.
What you bring:
- 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
Nice To Have Experience
- 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
Security-related responsibilities
- 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
