Director, Data Analytics

Introduction

Optimizely is seeking an experienced and dynamic Director of Insight & Analytics to join our Analytics & Data function. Reporting directly to the VP of Analytics & Data, this role will play a critical part in enhancing decision-making across the organization.

This individual will lead a team of cross-functional analysts and data scientists to deliver domain analysis, generate best-in-class insights and recommendations, design data-driven solutions, and work collaboratively across teams to implement processes and drive meaningful change throughout the business.

Job Responsibilities

Data-Driven Action

• Leverage revenue, customer success, and marketing performance data—along with AI—to uncover patterns, key drivers, and actionable insights across segments, geographies, products, and channels.
• Lead the analysis and provide inputs for board materials and end-of-quarter business reviews.
• Build and refine predictive and diagnostic models to support forecasting, targeting, and optimization strategies.
• Partner with Sales, Marketing, Customer Success, and Product teams to drive data-informed actions and measure impact.
• Ensure data integrity, relevance, and timeliness by working closely with Data Engineering and Analytics teams to evolve measurement frameworks and KPIs

Storytelling & Insight Delivery

• Develop clear, compelling, and audience-appropriate narratives that explain the why behind Sales, Marketing, and Customer Success performance trends.
• Translate complex technical findings into business-relevant insights that resonate with executives, marketing leaders, and cross-functional stakeholders.
• Use data visualization and dashboarding to enhance understanding and engagement across the business.
• Frame insights within the context of strategic goals, clearly highlighting opportunities, risks, and actionable recommendations

Analytics & Data Science

• Apply predictive modeling techniques such as churn prediction, LTV estimation, and lead scoring.
• Develop behavioral and value-based customer segmentation models to enable targeted marketing and customer success strategies.
• Deliver accurate and timely forecasting across revenue, usage, and demand

Stakeholder & Leadership Engagement

• Serve as a trusted partner to the executive team and global Sales and GTM leaders, ensuring alignment on key metrics and driving continuous KPI improvement

Team Leadership & Development

• Build, mentor, and scale a high-performing Insights team across Sales, Marketing, and Customer Success domains.
• Foster a culture of curiosity, experimentation, and data-driven decision-making within the commercial organization.
• Promote knowledge sharing, development of reusable tools, and consistency in analytics practices across teams

Cross-Functional Collaboration

• Act as a strategic partner to Sales, Marketing, Customer Success, Product, Finance, and IT teams, aligning initiatives and streamlining customer experiences.

Qualifications and Experience

• 8+ years of professional experience, with at least 3+ years in a SaaS organization.

• Demonstrated success in supporting or leading analytics functions within Sales, Marketing, and/or Customer Success.

• Strong expertise in core SaaS metrics, including NRR, CAC, LTV, ACV, funnel conversion, churn, and retention.

• Proficiency in SQL and at least one statistical programming language (e.g., Python, R).

• Hands-on experience with data visualization tools such as Power BI, Tableau, or equivalent platforms.

Behavioral Expectations

• Demonstrated ability to bring data to life for decision-makers through clarity and actionable insights.
• Comfortable working in a fast-paced, dynamic, and ever-changing environment.
• Committed to continuous improvement—of self, systems, and processes.
• Strong focus on aligning work with company objectives and driving measurable business outcomes.
• Honest and accountable when challenges arise, with a proactive approach to preventing repeat issues.
• Solutions-oriented mindset—prioritizing prevention and improvement over blame.
• Proactive in designing experiments, conducting research, and finding innovative solutions to business questions.
• Transparent communicator, sharing progress updates, documentation, and learnings openly.
• Maintains intellectual and emotional curiosity, always seeking to understand more.
• Practices healthy self-management to balance work and personal life effectively.
• Skilled in diplomacy, negotiation, and building strong cross-functional relationships.
• Self-driven in learning new skills, tools, and systems as needed.

Education

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