Research & Data Analyst Lead

Location: Remote

LearnTastic is a fast-growing online education platform providing accredited continuing-education and compliance courses for professionals across industries - from healthcare and construction to HR and education. With more than 1,000 courses and over a million learners served, LearnTastic is redefining accessible, self-paced learning. Our mission is to make professional development simple, engaging, and impactful - anytime, anywhere.

As part of our dynamic team, you’ll help shape the learning experiences that empower individuals and organizations nationwide. At LearnTastic, great design isn’t just about usability-it’s about transforming how people learn and grow.

Research & Data Analyst Lead
 

We are looking for a Research & Data Analyst Lead to own end-to-end research, data analysis, and insight generation across business, product, marketing, and strategy initiatives.

This role goes beyond dashboards. You will be responsible for turning complex data into clear, decision-ready insights, supporting leadership with analysis that drives growth, efficiency, and strategic clarity.

Responsibilities:

Data Analysis & Insights (Core Ownership)

• Analyze large and complex datasets across:
  • Business performance
  • Marketing funnels
  • Revenue, margin, and unit economics
  • Customer behavior and conversion
• Identify trends, anomalies, and opportunities
• Translate data into clear narratives and recommendations for leadership

Research & Market Intelligence

• Conduct structured research on:
  • Markets and competitors
  • Industry benchmarks
  • Customer segments and behavior
• Support strategic initiatives such as:
  • Market entry
  • Pricing and packaging
  • M&A and investment research
• Validate assumptions using data and external signals

Reporting & Decision Support

• Build and maintain:
  • Executive dashboards
  • Weekly / monthly performance reports
  • Deep-dive analysis for leadership and functional teams
• Ensure data accuracy, consistency, and relevance
• Highlight risks and early warning signals, not just outcomes

Experimentation & Performance Measurement

• Support A/B testing and experimentation analysis
• Define success metrics and evaluation frameworks
• Measure impact of:
  • UX changes
  • Marketing campaigns
  • Product initiatives
• Share learnings and recommendations based on results

Data Governance & Process Excellence

• Define standards for:
  • Data definitions
  • Reporting logic
  • Documentation
• Ensure a single source of truth across teams
• Improve data accessibility and usability for stakeholders

Leadership & Collaboration

• Act as a thought partner to:
  • Product
  • Marketing
  • Finance
  • Operations
• Mentor junior analysts where applicable
• Influence decision-making through clarity and credibility, not hierarchy

Key Outcomes & Success Metrics

• Leadership decisions clearly supported by data
• Faster insight generation and reduced ambiguity
• Actionable recommendations tied to business impact
• Improved experimentation and performance measurement
• High trust in data accuracy and insights

Required Experience & Qualifications

Experience:

• 6–10+ years in data analysis, research, or analytics roles
• Experience working with:
  • Business and performance data
  • Marketing and funnel analytics
  • Financial or operational metrics
• Proven ability to influence decisions using data

Technical Skills:

• Strong proficiency in:
  • SQL
  • Excel / Google Sheets
  • BI tools (Looker, Tableau, Power BI, or similar)
• Experience with experimentation analysis and A/B testing
• Comfort working with imperfect or incomplete data

Analytical & Communication Skills

• Strong problem-solving and critical thinking
• Ability to simplify complex analysis into clear insights
• Excellent written and verbal communication
• Executive-ready presentation skills

Preferred Qualifications:

• Experience in SaaS, EdTech, marketplaces, or digital platforms
• Exposure to M&A, investment, or strategic research
• Background in statistics, economics, engineering, or data science

This is a remote opportunity.
(US-focused preferred; time-zone flexibility a plus)