At Optimizely, we're on a mission to help people unlock their digital potential. We do that by reinventing how marketing and product teams work to create and optimize digital experiences across all channels. With Optimizely One, our industry-first operating system for marketers, we offer teams flexibility and choice to build their stack their way with our fully SaaS, fully decoupled, and highly composable solution.

We are proud to help more than 10,000 businesses, including H&M, PayPal, Zoom, and Toyota, enrich their customer lifetime value, increase revenue and grow their brands. Our innovation and excellence have earned us numerous recognitions as a leader by industry analysts such as Gartner, Forrester, and IDC, reinforcing our role as a trailblazer in MarTech.

At our core, we believe work is about more than just numbers -- it's about the people. Our culture is dynamic and constantly evolving, shaped by every employee, their actions and their stories. With over 1500 Optimizers spread across 12 global locations, our diverse team embodies the "One Optimizely" spirit, emphasizing collaboration and continuous improvement, while fostering a culture where every voice is heard and valued.

Join us and become part of a company that's empowering people to unlock their digital potential!

To get a sneak peek into our culture, find us on Instagram: @optimizely

Introduction

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.

Job Responsibilities

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

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.

Education

Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics) or equivalent experience.

Competencies

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.

#LI-SR1

Qualifications

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
Honesty when things go wrong (they will), and a plan to prevent the same thing from happening again
Self-managed work/personal life balance
Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics) or equivalent experience
Driving Continuous Improvement
Inspiring and Motivating Others
Solving Complex Problems

Benefits

Responsibilities

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
Ability to identify work that supports company objectives and maintain focus on business outcomes
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
Diplomacy, negotiation, and development of complex relationships
You teach yourself new skills and systems

Marketing Analytics Lead

Job Type