Job Description
Found is a modern weight care platform and community focused on integrated support. According to a recent CDC study, nearly 50% of Americans want to lose weight, and on average, Americans have gained 30 lbs during the pandemic. But the existing weight loss industry focuses on shame - if you don’t have the willpower to eat less and workout more, you aren’t trying hard enough.
Modern science shows us that weight care is complex - food and movement are important, but so are hormones, genetics, sleep, stress, mental health, and daily habits. Found’s unique approach incorporates personalized coaching, an online community, and if indicated, medical and prescription solutions.
Research shows that addressing weight health reduces the long-term risk of diabetes, heart disease, and some forms of cancer. We believe in giving our community tools that will help them add years to their lives and reach their goals. We believe it’s not just what you’ve lost, it’s what you’ve Found. Found has raised more than $130mm from leading investors, including Atomic, GV, WestCap, IVP, TCG, Define Ventures and more.
The Opportunity
Your mission will be to provide Marketing & Growth leaders with the insights, tools, infrastructure and consultation to make data-driven decisions around all things Marketing & Growth. As Found’s Marketing Analytics Lead, you will think strategically, develop insightful analysis, communicate findings concisely to senior leaders, work effectively as part of a cross-functional team, and tame large data sets. You will play a key role in scaling this high-growth consumer business.
This role will report directly into the leader of our Business Operations & Analytics team (centralized team of high analytical horsepower individuals who play a key role in surfacing insights and executing strategic initiatives) with a dotted line into our Chief Growth Officer.
What You’ll Do
- Data analysis: Closely monitor acquisition funnel for volume, efficiency, and quality. Generate insights about customer segments and the company's most valuable customers to improve ad effectiveness and optimize spend. Partner with Finance to update and monitor channel and campaign level LTV and CAC.
- Dashboarding: Build and own the source of truth dashboard for all marketing acquisition and spend in collaboration with the data engineering team.
- Strategic planning: Partner with Finance and Marketing on bottoms up modeling and funnel analysis for quarterly planning. Use predictive analyses to identify the right campaign targets, set goals, understand seasonality, and improve overall marketing performance.
- Communication and insights: Build and own operational and executive dashboards, including data visualization to convey key growth and marketing concepts.
- Measurement: Build and execute logic for a consistent attribution model. Work with brand marketing and various stakeholders to design and build rigor around brand campaign measurement.
- Opportunity sizing: Identify marketing opportunities for current and new business needs, then work with relevant stakeholders to launch initiatives and measure results.
- Team and influence: Lead, influence, present, and work across the organization to drive cross-functional impact (Growth Marketing/Product/Operations/Finance). Team player.
What You Have
- 6+ years of experience in an analytical role with 2+ years focused on growth and marketing analytics. Understanding of conversion driving channels such as Display, Paid Search and Affiliate. Experience with full funnel growth analytics (e.g. user acquisition, marketing efficiency, channel attribution, ad-hoc campaign ROI, referral growth, LTV)
- Experience combining external and internal data sets to triangulate a source of truth
- Self-starter mentality to respond quickly to problems independently and proactively address conflicting stakeholder requirements to align on a solution
- SQL guru and spreadsheet software proficiency (Excel, Google Sheets)
- Experience building, evaluating, and optimizing user acquisition KPIs (CAC, ROAS, LTV)
- Experience with reporting and data visualization using tools such as Mode, Tableau, Looker, Amplitude, Segment
- Strong verbal and written communication skills
Bonus Points
- Familiarity with using statistical methods to measure the success of experiments and initiatives
- Python or R proficiency
Date Posted
08/11/2022
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