Analytics Engineer, Business Strategy & Analytics

The Chicago Bulls Business Strategy and Analytics Department is a team of strategic problem solvers who champion a continuous improvement mentality across the organization. Our mission is to collaborate with key decision makers across the business and empower them with data and insights to better serve our fans.

Key Responsibilies:

This role will report to the Senior Manager of Data Strategy & Analytics with a focus on understanding the analytical needs of our organization, identifying critical metrics and KPIs, and delivering concrete insights. In this role you will:

Be our go-to data expert and have a deep understanding of our data warehouse and data processing layers
Improve automation and integrations between systems to simplify manual processes and reduce data silos
Build and standardize queries and data sources to enable other team members to quickly draw insights and maintain consistent metrics
Establish rules and processes to standardize data collection and structures and ensure accuracy, integrity, and completeness of data
Build and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources
Partner with multi-functional business partners to acquire a comprehensive understanding of each team’s data needs and translate into infrastructure and tooling that enables a data-driven culture
Own data integrity, availability, transformation logic, and efficient data access to support the growing needs of the organization
Build, update, and own documentation to ensure data accessibility to all team members
Evaluate potential technology partners and manage relationships with third-party vendors that provide services such as ETL, data transformation, and inventory management

Qualifications:

Bachelor’s degree with a consistent track record of professional and personal achievement
3+ years’ experience working in data-centric roles
Expertise using modern ELT/ETL tools (i.e. dbt, Fivetran) to integrate and transform data according to business requirements
Ability to write complex freehand SQL and hands-on experience with relational databases
Experience working with a cloud data platform such as BigQuery or Snowflake
Experience crafting effective charts, graphs, and visualizations in a business intelligence tool (Tableau preferred)
Proficiency in Python

The perfect candidate has a strong mix of the following:

Exceptional interpersonal and communication skills with the ability to build relationships and share findings with both technical and non-technical team members
An eye for the details because data quality is paramount
Analytical and problem-solving expertise that will help uncover and address inefficiencies
Comfort working in a fast-paced environment and able to adapt quickly to real-time changes to the business
Business literacy driven by the application of data and insights to drive strategy and results
Entrepreneurial spirit that thrives in a high profile, small business, balancing multiple projects across different functions

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