What are the responsibilities and job description for the Analytics Lead position at Create Wellness?
Create is hiring an Analytics Lead to help build and scale our analytics foundation from the ground up. This will be our first analytics hire, working closely with the Head of Data to design data models, build self-service analytical frameworks, and turn messy questions into clear, trusted insights.
This role is ideal for a strong generalist who can do hands-on Analytics Engineering work and partner with the business on measurement, analysis, and decision-making. You'll have a pivotal role in shaping how analytics works at Create, from dbt models to Omni dashboards to how teams ask and answer questions with data.
What You'll Do:
Analytics Engineering & Data Modeling
At Create Wellness, we're building a category-defining wellness brand that helps people feel their best every day. You'll join a small, high-output team where your work will have immediate and visible impact. We move quickly, expect a lot from ourselves and each other, and have fun while doing it.
This role is ideal for a strong generalist who can do hands-on Analytics Engineering work and partner with the business on measurement, analysis, and decision-making. You'll have a pivotal role in shaping how analytics works at Create, from dbt models to Omni dashboards to how teams ask and answer questions with data.
What You'll Do:
Analytics Engineering & Data Modeling
- 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
- 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
- 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
At Create Wellness, we're building a category-defining wellness brand that helps people feel their best every day. You'll join a small, high-output team where your work will have immediate and visible impact. We move quickly, expect a lot from ourselves and each other, and have fun while doing it.