Director, Data Analytics

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.

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.

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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