The Challenge
Learvo is an AI-powered edtech startup on a mission to transform how college students learn and retain information. You'd be their first marketing analytics hire, directly supporting the founders in building the data-driven playbook that scales their user acquisition.
Your Mission
Audit all existing marketing channels (website, socials, email) and establish baseline KPI tracking in Google Analytics and a centralized dashboard
Define the core marketing metrics framework with the marketing team (CAC, LTV, conversion funnels, channel ROI)
Run 2-3 high-impact experiments (landing page A/B tests, email segment analysis) and document learnings
Build weekly/monthly reporting cadence that the founders actually use to make decisions
Develop predictive models for student acquisition cost and lifetime value by channel using SQL + Python/R
Create segment analysis identifying which college demographics, majors, or use cases show highest engagement and retention
Design and execute 5+ marketing experiments with clear hypothesis, measurement plan, and statistical rigor
Build a self-serve analytics dashboard (Tableau/Power BI) so the marketing team can pull insights without needing you for every question
KPIs You'll Own
Customer Acquisition Cost (CAC)
Total marketing spend divided by new students acquired, tracked by channel and cohort.
Conversion Rate by Funnel Stage
Percentage of visitors moving from awareness → signup → active user → retained user.
Retention & Engagement Rate
Weekly/monthly active users and feature usage frequency to correlate with acquisition quality.
Marketing ROI by Channel
Revenue/LTV generated per dollar spent across paid search, social, email, organic channels.
Experiment Velocity & Impact
Number of tests run monthly and average lift per test to track optimization speed.
Tools & Stack
Your Team
Your Manager
Founders / Head of Marketing (TBD)
Current Team
Early-stage startup, likely 5-15 person team. You'd be the first dedicated analytics hire.
New role to establish data-driven marketing foundation
The Package
Salary
Unpaid initially → potential $55K-$75K base if converted to paid role
Equity
Potential equity stake as co-contributor to startup growth
Remote
On-site required
Benefits & Perks
Company Intelligence
Learvo is an early-stage EdTech startup using AI to help college students improve memorization, retention, and engagement with academic content. The company is founder-led and focused on solving a real pain point in student learning outcomes.
Culture
Scrappy, founder-driven, innovation-focused startup culture with direct influence on product and GTM strategy.
Is This Role For You?
- You're drawn to early-stage startups and willing to take a calculated risk (unpaid → paid conversion)
- You love the idea of building analytics infrastructure from zero and proving its impact on GTM
- You're comfortable with ambiguity and can work autonomously but also thrive collaborating with non-technical founders
- You've shipped at least one end-to-end analytics project (tracking setup → insights → action)
- EdTech or AI interests you, and you want exposure to cutting-edge learning tech
- You need cash compensation immediately—this starts unpaid with no guaranteed timeline to salary conversion
- You require extensive hand-holding or prefer highly structured, mature marketing departments
- You've never written SQL or Python/R—you'll need these skills to move fast in a resource-constrained startup
Interview Process
Initial screening
Conversation with founder(s) about your analytics background, startup fit, and willingness to start unpaid
Analytics case study or portfolio review
Walk through a past project: data sources, metrics defined, experiments run, business impact
Technical assessment (optional)
SQL query or Python/R scripting exercise to validate core skills
Fit discussion
Final conversation on expectations, equity terms, timeline to potential paid conversion, and role scope
Interested in this role?
Apply now and hear back within days, not weeks.
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About Data & Analytics Roles
Data & analytics professionals in marketing transform raw data into actionable insights. They build dashboards, run attribution analysis, design experiments, and help marketing teams make data-driven decisions.