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About the job
CAKES Body | Remote | Full-Time
About Cakes Body
Cakes Body is a fast-growing, category-defining DTC brand built on innovation, confidence, and community. With a highly engaged customer base and strong momentum, CAKES Body is focused on deepening customer relationships, increasing lifetime value, and building a best-in-class retention engine to support sustainable growth.
The Opportunity
We’re looking for a highly analytical, hands-on Growth Analytics Lead to help us make smarter, faster growth decisions.
This person should love getting into the numbers. You’ll work directly with data across paid media, attribution, Shopify, email, and TikTok Shop to understand what is driving performance, where we are leaving opportunity on the table, and what we should do next.
This is not a role focused on simply producing reports. We’re looking for someone who can spot patterns, pressure-test assumptions, uncover optimization opportunities, and translate complex performance data into clear recommendations for the Growth team and broader business.
What You'll Own
Marketing Reporting & Data Quality
Build and maintain accurate, repeatable reporting across paid media, MTA/CDP, Shopify, email, and TikTok Shop. Ensure teams are working from reliable data and quickly identify inconsistencies or gaps when they arise.
Paid Media Performance Analysis
Dig into performance across Meta, Google, TikTok, and emerging channels at the campaign, audience, creative, placement, and product level. Identify what is driving changes in efficiency and scale, and surface specific opportunities to improve performance.
Optimization & Opportunity Identification
Go beyond reporting what happened. Analyze trends, isolate performance drivers, and recommend changes across budget allocation, bids, audiences, creative testing, channel mix, and investment levels.
Cross-Channel & Commerce Analysis
Connect paid media performance with Shopify, email, TikTok Shop, Amazon, and broader commerce outcomes to understand how marketing activity translates into demand, conversion, and customer behavior.
Customer & Unit Economics
Analyze CAC, LTV, AOV, repeat behavior, payback, ROAS, MER, and other key economics to understand not only where we are acquiring customers, but where we are acquiring the most valuable customers and generating profitable growth.
Forecasting & Decision Support
Partner with Growth and Finance on forecasts, pacing, scenario analysis, and investment decisions. Clearly explain what changed, why it changed, what it means for the business, and what action we should take.
Qualifications & Experience
- Strong hands-on experience analyzing paid media performance across Meta, Google, and TikTok, ideally within a DTC or ecommerce business
- Advanced analytical skills and comfort working directly with large, messy datasets to find meaningful insights
- Fluency with attribution/MTA tools, CDPs, Shopify, email platforms, and paid media reporting
- Strong Excel, Looker, Tableau and/or Google Sheets skills, including the ability to build and manipulate models independently
- A track record of identifying optimization opportunities and turning analysis into measurable business action
- Strong understanding of customer and marketing economics, including CAC, LTV, ROAS, AOV, payback, and contribution
- Ability to distinguish between correlation and causation and thoughtfully evaluate attribution, incrementality, and channel performance
- Strong business judgment and the ability to communicate complex analysis clearly to both marketing teams and senior leadership
- Comfortable working independently and getting into the details within a fast-moving, lean team
Compensation
$120,000–$195,000 base, depending on experience and level of experience plus our annual performance bonus program and our full benefits program.
About the company
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