Director, Data Analytics at Optimizely
London WC2N 4JS, , United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

19 Nov, 25

Salary

0.0

Posted On

20 Aug, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Statistics, Sql, Cac, Power Bi, Economics, Ltv, Tableau, Computer Science

Industry

Marketing/Advertising/Sales

Description

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.

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.

LI-SA1

Responsibilities

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