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Optimizely

Cloud-native DXP for content, commerce, optimization

Marketing Analytics Lead

Data SciencePosted on Nov 10
Full-timeLondon, UKNo salary listedHybrid

About the Job

Requirements

  • At least 5 years of professional experience.
  • At least 3 years of Marketing Operations or Revenue Operations experience at a SaaS company.
  • Familiarity with intent data platforms such as 6sense, sales engagement platforms such as Outreach, Salesloft, and Gong, and conversational analytics.
  • Proficiency in SQL and at least one statistical programming language, such as Python or R.
  • Experience with marketing platforms such as Google Analytics, Salesforce, or Marketo.
  • A background in presenting data in ways that inform decision makers.
  • Ability to interface with teams, build data literacy, and upskill team members.
  • Ability to identify work that supports company objectives and maintain focus on business outcomes.
  • Ability to create experiments or conduct research to answer questions and find solutions.
  • Ability to communicate work status transparently and document the current state.
  • Ability to develop complex relationships through diplomacy and negotiation.
  • Ability to independently learn new skills and systems.

Responsibilities

  • Leverage large-scale marketing performance data using advanced analytics and data science techniques, including predictive modeling, segmentation, and 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 their impact.
  • Collaborate with data engineering and analytics teams to define and evolve measurement frameworks and key performance indicators, ensuring data integrity, relevance, and timeliness.
  • Develop clear, compelling, audience-appropriate narratives explaining the reasons behind marketing performance trends.
  • Translate technical data findings into business-relevant insights for executive, marketing, and cross-functional stakeholders.
  • Use dashboards and data visualizations to improve understanding and engagement.
  • Frame insights in the context of strategic goals, highlighting opportunities, risks, and recommendations clearly.
  • Partner with the Senior Vice President of Demand Generation and global Marketing and sales development representative leaders to ensure the Marketing department focuses on appropriate metrics and improves key performance indicators.
  • Lead quarterly initiatives to enhance the Marketing team's efficiency, scalability, and performance, including pipeline and channel analysis and supporting the design of the sales development representative Book of Business.
  • Act as a strategic partner to Marketing, Sales, Product, Finance, and IT teams to align initiatives and streamline customer experiences.

Desired Qualifications

  • Ability to work in a fast-paced, changing environment.
  • Commitment to continuous improvement of self, systems, and processes.
  • Honesty and a plan to prevent recurring issues when things go wrong.
  • A problem-solving mindset focused on preventing future mistakes rather than assigning blame.
  • Intellectual and emotional curiosity.
  • Ability to maintain a self-managed work-life balance.

About the Company

Optimizely

Cloud-native DXP for content, commerce, optimization

Optimizely is a Digital Experience Platform that helps enterprises create, manage, and optimize digital experiences across channels by unifying content, commerce, and data-driven optimization. It combines content management, e-commerce, experimentation (A/B testing), and AI-powered personalization in a cloud-native environment. Unlike tools that split content creation, commerce, and testing into separate products, Optimizely offers an integrated workflow built around continuous experimentation and intelligent decisioning. Its goal is to boost customer engagement and growth by delivering data-backed, personalized experiences across channels.

Company size
201-500
Company stage
Debt Financing
Total funding
$1.1B
Headquarters
New York City, New York
Founded
2009

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