Little Spoon is the #1 online baby and kids food brand in the US, currently in an exciting growth stage. They are seeking a Senior Manager of Strategic Analytics (Customer Acquisition) to drive new customer growth through digital channels by turning complex data into actionable insights and optimizing marketing strategies.
Responsibilities:
- Act as a strong analytics partner for the Customer Acquisition group, working across Growth Marketing and Digital Product teams to frame the right questions and deliver data-driven answers that move the business forward
- Apply analytical techniques to identify the highest-value acquisition channels, optimize CAC, and surface opportunities to improve conversion rates across the digital funnel
- Use AI tools as a primary part of your analytical workflow — from synthesizing signals across channels to accelerating experimentation cycles and generating strategic recommendations
- Manage and update dbt models to ensure our Customer Acquisition data is clean, reliable, and ready for analysis
- Create and maintain high-impact dashboards that move beyond vanity metrics, providing teams with the data and insights they need to succeed
- Lead the design, execution, measurement, and socialization of A/B and multivariate tests aimed at increasing conversion rates, improving ROAS, and optimizing the onboarding funnel
- Deliver clear, compelling "so what" insights to leadership, ensuring that every strategic decision is backed by rigorous data and a deep understanding of our customers
Requirements:
- 7+ years in data analytics, with a strong track record of business impact at DTC, eCommerce, or subscription-based business
- Experience with growth marketing analytics and a proven track record of optimizing digital acquisition funnels, including paid media, and landing page conversion analysis
- You are actively and deeply using AI tools in your day-to-day analytical work
- Expert-level SQL and experience managing data transformations within dbt
- Hands-on experience with BigQuery (or similar cloud data warehouses) and a passion for building scalable data models
- Experience building intuitive, high-impact dashboards and explorations in Omni (or similar tools like Looker or Tableau)
- Strong grasp of statistical significance with extensive experience in conversion rate optimization testing
- Working knowledge of regression modeling and attribution methodologies to connect marketing spend to acquisition outcomes
- You've gone beyond prompt engineering — you're building AI-assisted workflows, using agents and models to automate analysis, generate hypotheses, or synthesize attribution signals
- Experience with marketing mix modeling (MMM), multi-touch attribution models, and paid media platforms (Meta, Google Ads, etc.) to optimize spend efficiency and acquisition ROI
- Ability to use Python / R to create statistical models that synthesize patterns in our data into actionable narratives