Use data to tell stories, uncover trends, and drive decisions across Product, Engineering, Growth, and Marketing. Establish internal AI use cases and guidelines.
Requirements
- Advanced SQL skills and proficiency with a BI or visualization tool (e.g., Looker, Tableau).
- Hands-on experience working with modern data stacks (e.g., Python, Redshift, BigQuery).
- Comfort working with large, event-driven datasets and user-level behavioral data.
- Proven ability to design and interpret A/B tests and experimentation frameworks.
- Strong understanding of marketing analytics concepts — attribution, LTV, CAC, and retention analysis.
- Familiarity with Python or R for data analysis
- Experience with AI enhanced platforms (Copilot, AutoML, etc....)
Responsibilities
- Lead analytical initiatives across the product and marketing domains — from framing hypotheses to delivering insights that drive measurable business and health impact.
- Design and maintain core dashboards and KPIs that track engagement, retention, and conversion throughout the user journey.
- Perform deep-dive analyses to uncover behavioral trends, identify growth levers, and optimize key funnels (e.g., onboarding, retention, or paid conversions).
- Collaborate closely with data and analytics engineers to ensure robust, scalable, and well-modeled data sets for reporting and analysis.
- Develop and standardize reporting frameworks that enable leadership and stakeholders to make evidence-based decisions quickly.
- Champion data quality and governance by defining trusted metrics, validating new data sources, and documenting analytical logic.
- Partner with marketing teams to evaluate campaign performance, test new acquisition channels, and refine targeting strategies.
Other
- Applicants who live within 35 miles of either the Burlington, NC or Durham, NC location will follow a hybrid schedule.
- Translate complex analytical findings into clear, actionable insights for both technical and non-technical audiences.
- Leverage AI to create compelling stories from data
- Collaboratively establish internal AI guardrails for ethical use
- Excellent communication skills: ability to translate complex analyses into simple, actionable recommendations
