Marketing Analyst

Ogilvy has been creating impact for brands through iconic, culture-changing, value-driving ideas since the company was founded by David Ogilvy 75 years ago. It builds on that rich legacy through Borderless Creativity – innovating at the intersections of its advertising, public relations, relationship design, consulting, and health capabilities with experts collaborating seamlessly across over 120 offices in nearly 90 countries. Ogilvy currently ranks as the #1 global agency network for creative excellence and effectiveness by WARC, signifying its ability todeliver creative solutions that drive unreasonable impact for clients and communities.

Ogilvy is a WPP company (NYSE: WPP). For more information,  , and follow us on Linked In ,X ,Instagram , and Facebook.

Location:

London (Hybrid Working)

Contact type :
Fixed Term

Full Time/Part Time :
Full Time

Contract Duration : 12 months

Reporting into :
Head of Marketing Science UK & EMEA

About Ogilvy :

Ogilvy UK has been creating iconic ideas that deliver impact at scale for clients ever since David Ogilvy founded the company in 1948. Ogilvy UK specialises in bringing together brand advertising, customer experience marketing, PR, influence and consulting, all fuelled by Behavioural Science. Our world-class award-winning creative campaigns deliver solutions for clients including Sainsbury’s, Argos, , Mondelēz International, Unilever, TK Maxx and Pernod Ricard.

In 2023, Ogilvy UK celebrated their 75th anniversary and was the most awarded agency in Europe. Ogilvy is home to the largest influencer marketing practice globally and hosts the world’s biggest festival of behavioural science and creativity, Nudge stock – now in its 12th year.

About the role We’re seeking a highly analytical, creatively minded Marketing Analyst (Social & Influencer) to join Ogilvy UK’s Marketing Sciences team. You’ll be our specialist in making sense of social and influencer data, transforming it into clear recommendations that improve performance and drive brand growth.

Working closely with clients and cross-functional teams across strategy, creative, media, PR and influencer, you’ll translate business questions into measurement frameworks, run robust analyses, and shape test ‑ and ‑ learn programmes that connect content, creators, media investment and business outcomes.

This role sits at the intersection of data and storytelling. You’ll pair statistical rigour with a deep understanding of social platforms and the creator economy, bringing insights to life through compelling narratives, intuitive dashboards and practical optimisation guidance. You’ll support a diverse portfolio of global brands, helping to standardise best ‑ in ‑ class measurement, advance experimentation, and elevate how data informs strategy and creative decisions.

• Partner with clients and internal teams to understand business objectives and develop data-driven marketing recommendations.
• Apply advanced statistical techniques, including regression analysis, time-series forecasting, causal inference, and predictive modelling, to analyse social and influencer campaign performance.
• Extract, clean, and manipulate large datasets using SQL, Python, or R from social media and influencer platforms such as Creator
  
  IQ and Sprinklr.
• Design and implement measurement frameworks, attribution models, and dashboards (Tableau, Power BI) to track campaign effectiveness and provide clear, actionable insights.
• Conduct deep-dive quantitative analyses to identify trends, anomalies, and optimisation opportunities in social and influencer campaigns.
• Support experimentation, including A/B testing and other experimental designs, with rigorous statistical analysis to validate hypotheses.
• Translate complex data into clear, concise, and compelling reports and narratives for both technical and non-technical audiences.
• Contribute to evaluating and integrating new analytical tools and methodologies to enhance the team’s capabilities.
• Support competitive benchmarking and trend analysis to inform strategic recommendations.

• Bachelor’s or Master’s degree in Statistics, Mathematics, Data Science, Economics, Computer Science or…