VP Data Analytics

VP Analytics

London

6 Months FTC - likely to be converted to Permanent

HYBRID 3 days in the office / 2 days remote

WHO WE ARE

We are RAPP – world leaders in activating growth with precision and empathy at scale.

As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual's needs, beliefs, behaviours, and aspirations.

We foster an inclusive workplace that emphasises personal well-being.

YOUR ROLE:

In RAPP's Data Analytics team, you will make sure both the voice of the customer and the voice of the CFO are represented in every conversation, backing every decision with evidence. You will inspire exceptional customer experiences through data and ensure that every action we take directly improves performance against our clients' objectives.

As a Vice President of Data Analytics, you will lead a portfolio of clients, partnering with senior stakeholders to drive growth, retention, efficiency, and career development across your teams. You will be a visionary leader who brings clarity, direction and pace to complex matrix organisations, ensuring that the work we deliver is both strategically sharp and operationally scalable.

You will:

• Act as the senior analytics partner to clients, owning the strategic narrative on performance, personalisation, and customer insight.
• Partner with Portfolio Leads to shape business plans with data at their core, embedding insight-driven decision-making throughout.
• Champion measurable ROI, standardised delivery, and data-driven storytelling to elevate client relationships and agency growth.
• Drive innovation within Data Analytics by developing new products, playbooks and frameworks that make our work consistent, efficient and future-ready.
• Build and motivate a talented analytics team across your portfolio, fostering learning, experimentation and cross-disciplinary collaboration.

What You'll Do:

Growth and Client Leadership

• Lead the data strategy and measurement roadmap across a portfolio of clients, ensuring our work directly contributes to business growth.
• Partner closely with creative, media and technology teams to integrate data-led insight into omnichannel strategies.
• Support new business opportunities, shaping proposals, leading data strategy narratives and serving as a "pitch doctor" for Marketing Science.

Retention and Performance

• Maintain high visibility with senior clients as their trusted advisor, connecting data to business outcomes through strong storytelling and business casing.
• Embed a test-and-learn culture, ensuring all recommendations are measurable, repeatable and performance-driven.

Efficiency and Productisation

• Standardise delivery across clients, defining best practice in measurement frameworks, tagging and reporting.
• Lead the development of scalable analytics products and playbooks that enable faster, higher-quality outputs across the network.

Career Development

• Design the team structure and learning pathways that set your portfolio up for success.
• Create an environment of knowledge-sharing, mentorship and curiosity that keeps RAPP's data practitioners at the cutting edge of the discipline.

Thought Leadership

• Represent RAPP's Data Analytics capability across the industry, authoring thought pieces, speaking at events, and guiding hackathons or innovation challenges.

YOUR SKILLS AND EXPERIENCE

You are a strategic data leader with a proven track record of shaping analytics into a commercial and creative advantage. You balance curiosity with pragmatism, equally comfortable defining the data architecture for a personalisation strategy as you are presenting a performance story to a CMO.

You will bring:

• Currently in a similar role with experience in marketing analytics, customer experience or performance optimisation, ideally within an agency or consultancy setting.
• Deep understanding of the data ecosystem, from tagging and taxonomy through to measurement frameworks, attribution and experimentation.
• Familiarity with analytical tools (SQL, Python, Power BI/Tableau, GA/Adobe) and a clear vision of how data science can scale insight and performance.
• Strong commercial acumen, with experience connecting analytics delivery to growth and profitability.
• Experience building and leading teams, setting clear goals and inspiring both individual development and collective excellence.