Director of Data Science leading personalization, recommendation systems, and GenAI chatbot development at Gartner. Managing teams and strategic AI initiatives for enhanced client experiences.
About the role
- Analytics Lead at Create building and scaling the analytics foundation. Partnering with stakeholders to deliver insights and self-service analytics tools.
Responsibilities
- Design and build clean, DRY, & documented dimensional data models using dbt
- Implement best practices around testing, documentation, and model organization
- Collaborate on data warehouse structure and query performance optimization
- Build analytics tables, metrics, and dashboards in Omni that enable self-service
- Apply strong data product thinking: design datasets and dashboards that are intuitive, reliable, and reusable
- Develop and iterate on self-service analytical frameworks so teams can answer common questions without custom analysis
- Partner with stakeholders to define metrics, measurement approaches, and success criteria
- Perform deep-dive analyses to uncover insights and inform decisions
- Translate ambiguous business questions into structured analytical approaches
- Communicate findings clearly through dashboards, written insights, and live discussions
- Own stakeholder relationships, acting as a trusted analytics partner
- Proactively identify gaps, opportunities, and improvements in our analytics stack
- Teach and enable teammates to better use data, dashboards, and metrics
- Help establish analytics best practices as Create continues to scale
Requirements
- 3-6+ years working in analytics, analytics engineering, data engineering, or data science
- Strong experience with data modeling and analytics engineering (dbt experience strongly preferred)
- Advanced SQL skills, including query optimization and working with large datasets
- Hands-on experience with at least one modern BI tool (Omni or Looker experience is a big plus)
- Working knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift, etc.)
- Familiarity with the modern ELT/ETL landscape and data tooling
- Strong analytical intuition — you know how to measure things that actually matter
- Comfortable operating with ambiguity and building from a blank slate
- Clear communicator who enjoys teaching and enabling others
- Equally comfortable in data and business conversations
Benefits
- Competitive compensation including salary and equity
- Fully-paid health, dental, and vision insurance
- Downtown Manhattan office (4 days in office), with flexible work setup and 15 days of PTO
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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