B.I. Engineer

Position Summary

As a BI Engineer, you will support a cross-functional team of internal stakeholders in their work to improve the health outcomes of our users. In this role, you will use your expertise in data modelling to design, build and maintain our GCP-based data warehouse to provide clean, robust data sets to stakeholders and enable them to explore their user insights and behaviours. You will be working closely with data engineers and data analysts on the team to build and maintain our data pipelines to ingest and transform data from a variety of sources.  The ETL is managed with Airflow and primarily written in SQL (BigQuery). You will work with upstream backend teams to help model capability data in ways conducive to consistent & robust analytics, putting an emphasis on data quality. 

People who have worked within cross-functional teams (and enjoyed doing so) will thrive in this role.  Furthermore, you have experience with complicated and sometimes messy data sources and have successfully untangled them into crisp, beautiful data models.

Our data team also uses Looker as both an internal and external Business Intelligence tool.  Building data models in Looker is managed by other members of the data team whom you will work closely with to ensure that the data models produced by your ETL and consumed by Looker meet the needs of your teammates and other stakeholders who work with this data

In this role, you will:

• • Collaborate with product teams to represent the data team’s needs are considered when they build or modify data structures for their products or features.
  • Support data analysts, data scientists and product managers by understanding how they will consume your data models and design them accordingly
  • Develop best practices for data modelling, write documentation and promote the use of these practices by other members of the data team
  • Govern the design of data models

Desired outcomes:

• A clean, robust and scalable data warehouse
• You help to define and maintain a consistent data modelling framework
• Improve the quality of life for the data model consumers who can rely on data models that are logical, well documented and error free
• You ensure that the data team’s needs are represented when new products and features are being planned
• You ensure that the needs of the consumers of your data models are considered in their design

About you: 

• Strong SQL skills
• 2+ years experience working with a modern ETL framework
• Experience working as a data analyst, data scientist or data engineer
• Undergraduate or Masters degree in business administration, statistics, computer science or similarly quantitative discipline, or equivalent practical experience
• 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 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
• Nice-to-have: 
  • Data analysis and data manipulation in Python (Pandas, PySpark, etc)
  • Healthcare industry experience

Security-Related Responsibilities

• Compliance with Information Security Policies
• Writing and reviewing code in accordance with Secure Coding Guidelines

• You should receive a confirmation email after submitting your application.
• A recruiter (not a computer) reviews all applications at League.
• If we see alignment with League's needs, a recruiter will reach out to learn more about your goals. The recruiter will also share the team-specific interview process depending on the roles you are exploring.
• The final step is an offer, which we hope you will accept!
• Prior to joining us, we conduct reference and background checks. Additional checks could be required for US Candidates, depending on the role you are exploring.