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Principal Analyst, Growth (Marketing & Product)
Principal Analyst, Growth (Marketing & Product)
The Principal Analyst, Growth (Marketing & Product) will own the analytical strategy for Foodsmart's entire marketing funnel and product experience. This role involves leading experimentation, evolving attribution frameworks, and driving data modeling to provide actionable insights to executive and marketing leadership.
About the role
About the Role
Foodsmart is seeking a Principal Analyst, Growth to own the analytical strategy for the end-to-end marketing funnel and product analytics domain. This role is crucial for driving insights, developing experimentation programs, and evolving attribution frameworks, while also raising the bar for the analytics team.
Responsibilities
- Own the analytical strategy for the end-to-end marketing funnel, encompassing marketable lives, lead generation, omni-channel engagement, visit completion, and re-engagement, including call center functions and member lifecycle optimization.
- Own the product analytics domain, focusing on onboarding funnel, sign-up conversion, in-app engagement, and the member experience through completed first appointment. Partner with the top-of-funnel product team as an embedded analytical lead.
- Serve as the executive-facing owner of the marketing and product performance narrative, explaining performance drivers and recommending actions.
- Design and lead Foodsmart's experimentation program across marketing and product, including test design, causal inference methods, readout discipline, and stakeholder intake. Own StatSig implementation and serve as the internal expert.
- Own and evolve our attribution framework, including scheduling episode attribution, multi-touch attribution, and media mix modeling.
- Partner with Growth Marketing leadership as an embedded analytical lead, attending cadences, co-owning the analytics roadmap, and driving insight into action.
- Own and evolve the dbt data models for the marketing and product domains, from raw source modeling through mart-layer metrics, ensuring data quality, test coverage, documentation, and a trustworthy semantic layer.
- Engineer context into our semantic layer and BI environment (Omni) to enable reliable self-service answers for stakeholders and AI agents across the marketing and product funnel.
- Drive the narrative, translating findings into clear, actionable recommendations for executive and marketing leadership.
- Raise the bar for the analytics team in experimentation design, dbt modeling patterns, and context engineering, operating as a technical leader without direct management responsibilities.