Job Specifications
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
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
Self-Service Analytics & Data Products
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
Analysis & Insight Generation
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
Autonomy, Ownership & Enablement
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
Why You'll Love Working Here:
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.
About the Company
Create is redefining the way the world thinks about creatine. We’re on a mission to make strength accessible, convenient, and enjoyable for everyone —male or female, athlete or non-athlete, young or old. What began with the industry’s first creatine monohydrate gummy has grown into a movement to bring creatine to the masses. By sourcing world-class ingredients, partnering with leading scientists and researchers, and building a best-in-class team, Create is setting the standard for quality and innovation in the creatine space...
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