Marketing Analytics Lead

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We're not here to add to the noise. We're here to cut through it- with AI that actually works for marketers.

From AI-powered content creation to world-class CMS and the industry's most trusted experimentation platform, Optimizely is the tool modern marketers actually want to use. AI-Ready. Set. Go.

10,000+ brands including H&M, PayPal, and Zoom already get it. So do Gartner, Forrester, and IDC, who consistently recognize us as leaders in MarTech.

But here's the thing about building great products: it takes great people. Our 1,600+ Optimizers across 12 global offices are curious, collaborative, and refreshingly human. We don't do corporate speak. We do real conversations, big ideas, and genuinely care for the work we make together.

If you want to be part of a team that's shaping the future of marketing technology — and actually enjoys doing it — you're in the right place.

Find us on Instagram: @optimizely

Optimizely is seeking an experienced Marketing Analytics Lead, to join our Data Services function. This role will be critical to helping optimize our decision-making abilities across the Marketing domain.

This position will be responsible for leading domain analysis creation, providing best in class insights and proposals for change, designing solutions and working cross-functionally to implement process and change within the organization.

• Data-Driven Action Requirements: Leverage large-scale marketing performance data using advanced analytics and data science techniques (e.g., predictive modeling, segmentation, regression analysis) to identify actionable insights.
• Drive digital, web, demand and pipeline analytics.
• Build and refine predictive and diagnostic models to support forecasting, targeting, and optimization strategies.
• Partner with, Sales, Customer Success and Product teams to implement data-informed actions and measure impact.
• Ensure data integrity, relevance, and timeliness by collaborating with data engineering and analytics teams to define and evolve measurement frameworks and KPIs.

• Storytelling Requirements: Develop clear, compelling, and audience-appropriate narratives that explain the "why" behind marketing performance trends.
• Translate technical data findings into business-relevant insights that resonate with executive, marketing, and cross-functional stakeholders.
• Use visual storytelling techniques, including dashboards and data visualizations, to enhance understanding and engagement.
• Frame insights in the context of strategic goals, highlighting opportunities, risks, and recommendations with clarity and influence.

• Stakeholder/Leadership Engagement: Partner with the SVP of Demand Generation and global Marketing/SDR leaders to ensure the Marketing department focuses on the right metrics and improves KPIs.

• Process Optimization: Spearhead quarterly initiatives to enhance the Marketing team's efficiency, scalability, and performance. This encompasses pipeline and channel analysis and supporting the design of the SDR Book of Business.

• Cross-Functional Collaboration: Act as a strategic partner to Marketing, Sales, Product, Finance and IT teams to align initiatives and streamline customer experiences

Knowledge and Experience - Legacy Section

• 5+ Years of professional experience
• 3+ Years of experience of Marketing Ops/ RevOps at a SaaS company experience
• Demonstrated familiarity with intent data (6sense), sales engagement platforms (Outreach, Salesloft, Gong), and conversational analytics
• Proficiency in SQL and at least one statistical programming language (Python, R, etc.)
• Experience with marketing platforms (Google Analytics, Salesforce, Marketo, etc.)

Behavioural Expectations

• Strong background in bringing data to life for decision makers
• Skilled in interfacing with teams, enabling data literacy, and upskilling team members
• Ability to work in a fast-paced and ever-changing environment.
• Mindset of continuous improvement, self, systems, processes
• Ability to identify work that supports company objectives and maintain focus on business outcomes.
• Honesty when things go wrong (they will), and a plan to prevent the same thing from happening again.
• Problem solving mindset (we don’t look to blame, but to prevent future mistakes)
• You create your own experiments to find solutions or answer questions, or you do research to find answers.
• Transparent communication: status of work in flight, creating documentation of current state.
• Maintain intellectual and emotional curiosity.
• Self-managed work/personal life balance
• Diplomacy, negotiation, and development of complex relationships
• You teach yourself new skills and systems.

• 5+ Years of professional experience
• 3+ Years of experience of Marketing Ops/ RevOps at a SaaS company experience
• Demonstrated familiarity with intent data (6sense), sales engagement platforms (Outreach, Salesloft, Gong), and conversational analytics
• Proficiency in SQL and at least one statistical programming language (Python, R, etc.)
• Experience with marketing platforms (Google Analytics, Salesforce, Marketo, etc.)

Behavioural Expectations

• Strong background in bringing data to life for decision makers
• Skilled in interfacing with teams, enabling data literacy, and upskilling team members
• Ability to work in a fast-paced and ever-changing environment.
• Mindset of continuous improvement, self, systems, processes
• Ability to identify work that supports company objectives and maintain focus on business outcomes.
• Honesty when things go wrong (they will), and a plan to prevent the same thing from happening again.
• Problem solving mindset (we don’t look to blame, but to prevent future mistakes)
• You create your own experiments to find solutions or answer questions, or you do research to find answers.
• Transparent communication: status of work in flight, creating documentation of current state.
• Maintain intellectual and emotional curiosity.
• Self-managed work/personal life balance
• Diplomacy, negotiation, and development of complex relationships
• You teach yourself new skills and systems.

Driving Continuous Improvement

Driving for Results

Inspiring and Motivating Others

Solving Complex Problems

Optimizely is committed to a diverse and inclusive workplace. Optimizely is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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