Head of Analytics & Data Strategy

Location: Fully Remote

Employment Type: Full-Time Contractor

About the Role

We operate in the crypto and trading space with strong creator-driven distribution and affiliate monetization. We are simultaneously scaling our current revenue engine while building a long-term intelligence and decision-support product.

We are looking for a senior data operator who will become the analytical backbone of the company.

• This is not a BI reporting role.
• This is not a dashboard-building support function.

This is a data-driven operator role that influences product decisions, revenue strategy, growth direction, and capital allocation.

You will work directly with product, revenue, and leadership to turn data into structured decision-making.

What You Will Own

You will own the design, structure, and integrity of the company’s data systems across:

• Revenue funnels
• Affiliate monetization
• Influencer traffic quality
• Product usage & activation
• Retention & LTV modeling
• Experimentation frameworks

You are responsible for making sure decisions are based on real signal, not opinion.

Funnel & Revenue Analytics

• Design and maintain full-funnel tracking
• Analyze CAC, LTV, conversion rates, churn
• Identify bottlenecks across awareness → signup → monetization → retention
• Evaluate affiliate traffic quality and trading behavior
• Build cohort-level revenue analysis
• Model revenue scenarios and forecasts

Main KPIs you influence:

• Net profit contribution
• LTV / CAC
• Revenue per user
• Churn rate
• Revenue concentration risk

Product Instrumentation & Activation

• Design product event schema
• Define activation metrics and usage thresholds
• Measure onboarding performance
• Track feature adoption and behavioral patterns
• Build retention cohort models
• Identify what drives long-term engagement

You will work closely with the Head of Product and Head of Development to:

• Define “aha” moments
• Quantify product-market fit indicators
• Inform feature prioritization based on usage data

Experimentation & Decision Systems

• Build structured experiment logging systems
• Define hypotheses with measurable success metrics
• Track experiment outcomes
• Provide clear insight on what to double down on or kill
• Eliminate vanity metrics

This role ensures experiments compound over time rather than reset each quarter.

Influencer & Traffic Quality Intelligence

• Compare creator traffic performance
• Analyze trading behavior by acquisition source
• Identify high-LTV segments
• Measure revenue depth beyond first deposit
• Inform monetization optimization

This helps reduce dependency risk and improve traffic allocation decisions.

Executive-Level Decision Support

• Deliver weekly analytical briefings
• Build scenario models
• Provide revenue forecasts
• Highlight structural risks
• Challenge assumptions with data

You are expected to influence decisions, not just report numbers.

What This Role Is Not

This is not:

• A reporting analyst
• A marketing assistant
• A BI dashboard operator
• A passive data engineer

You will not just “pull numbers.”

You will:

• Ask hard questions
• Identify patterns others miss
• Influence product roadmap decisions
• Influence monetization strategy
• Quantify trade-offs

We are looking for someone who thinks like an operator, not a reporter.

What We’re Looking For

You must have:

• 6–10+ years experience in analytics, data strategy, or product analytics
• Experience in crypto, trading, fintech, or data-heavy SaaS
• Strong SQL capability
• Experience with tools like Mixpanel, Amplitude, Looker, etc.
• Deep understanding of cohorts, retention curves, LTV modeling
• Ability to translate raw data into strategic insights

Ideal background:

• Crypto analytics platform
• Trading platform
• Fintech SaaS
• High-growth subscription business
• Performance-driven online business

Key Traits

• Extremely analytical
• Comfortable challenging assumptions
• Structured thinker
• Strong communicator
• Outcome-oriented
• High ownership mindset

KPIs You Will Be Measured On

• Tracking completeness and data integrity
• Activation clarity
• Retention insight quality
• Revenue forecasting accuracy
• Experiment clarity and measurable improvements
• Decision quality enabled by your analysis

Your success is measured by how much better the company’s decisions become because of your work.

Compensation & Structure

• Senior-level base salary
• Performance-based upside aligned with measurable company outcomes
• Long-term incentive structure aligned with impact
• High ownership and accountability

This role is for someone who wants to shape a business through intelligence -not someone who wants to generate reports.