✨ About The Role
- The Business Intelligence Engineer will be responsible for creating data models necessary for reporting, analytics, and predictive modeling.
- This role involves interfacing with fellow scientists and business partners to understand data needs.
- The engineer will architect, build, and launch efficient and reliable new data models and pipelines in collaboration with Data Engineering.
- Comprehensive metrics and dimensions will be built out to measure operational health and enable analysis and predictive modeling.
- The role includes designing and developing dashboards to facilitate self-serve data consumption.
- The candidate will become a data expert in their business domain, developing a deep understanding of data interactions within the business.
- Best practices in reporting and analysis, including data integrity and validation, will be recognized and adopted.
âš¡ Requirements
- The ideal candidate will have 2-4+ years of relevant work experience in business intelligence or a related field.
- A strong passion for high data quality and the ability to scale and automate data science work is essential.
- Demonstrated leadership in data warehousing concepts and experience in schema design and dimensional data modeling are crucial.
- Proficiency in SQL and familiarity with ETL frameworks such as Airflow or dbt is required.
- The candidate should possess the ability to perform basic statistical analysis to inform business decisions.
- A proven track record of managing multiple projects simultaneously in a fast-paced environment is necessary.
- The successful individual will be able to self-direct, multitask, and prioritize a constantly evolving workload.