Head - Analytics
About the Role
- Data at Superliving is not for reporting. It is for decision-making.
- We are looking for someone who can own analytics end-to-end, from raw data pipelines to business-level insights. Someone who doesn’t just build dashboards, but influences strategy.
- You will be responsible for turning data into clarity. Growth, retention, revenue, product decisions, everything should be backed by structured thinking and measurable impact.
- This role combines analytics, data engineering, and business thinking. You will build the foundation that the company scales on.
What You’ll Do
- Own the entire analytics function across the platform
- Define and track core business metrics:
- CAC, LTV, retention, engagement, ARPU, P&L
- Build and maintain dashboards for Growth, Product, AI, Revenue
- Design and maintain data pipelines:
- Event tracking structure
- Data warehousing
- ETL processes
- Ensure data accuracy and consistency across systems
- Identify insights proactively:
- Why is retention dropping?
- Which cohort is driving LTV?
- What levers improve contribution margin?
- Support experimentation:
- A/B testing frameworks
- Funnel analysis
- Attribution clarity
- Help define business strategy using numbers, not assumptions
What We’re Looking For
- 4+ years of experience in analytics / data roles
- Strong hands-on experience with:
- SQL
- Data visualization tools (e.g., Quicksight, Looker etc.)
- Data Warehourse (Amazon Redshift)
- Understanding of data pipelines and warehousing concepts
- Strong grasp of business metrics in consumer apps or subscription businesses
- Comfort working in a fast-moving startup environment
You should
- Question numbers when they look wrong
- Push back when metrics are misinterpreted
- Care deeply about data quality
- Think in terms of business impact, not just queries
Who This Role Is Not For
- If you only build dashboards but don’t influence decisions
- If you wait for questions instead of proactively finding insights
- If you are uncomfortable taking ownership of ambiguous data problems
- If business metrics like CAC, LTV, retention don’t excite you
Why Superliving
- You will build analytics from the ground up
- Direct impact on company-level decisions
- High ownership and low bureaucracy
- Opportunity to shape how data drives growth and product strategy
- If you are good, you will grow very fast here
Apply on SuperLiving →
This role is hosted on the company's careers site.