✨ About The Role
- The role involves dedicating 60% of time to spearheading analytics work and building a foundation for insights.
- The candidate will spend 30% of their time on data engineering tasks, focusing on creating strong and performant data pipelines.
- The remaining 10% will be allocated to strategic team advancement, potentially utilizing AI/ML skills for recommender systems.
- The candidate will be responsible for defining product requirements and maintaining analytics products.
- Upholding best practices in data governance is crucial to ensure accuracy and compliance across data systems.
⚡ Requirements
- The ideal candidate will have a strong background in analytics engineering, with a proven ability to shape analytics for products.
- They should possess technical programming skills, particularly in Python scripting and SQL-type querying.
- Experience with BI tools such as Looker or Tableau is essential for success in this role.
- The candidate should be adept at data engineering, specifically in building and maintaining data pipelines.
- Strong communication skills are necessary to present actionable insights to stakeholders with varying levels of technical expertise.