Marketing Analyst

Ogilvy UK; City Of London; On-site; GBP 35,000 - 50,000; Full time

Job summary

A leading marketing agency in London is seeking a highly analytical Marketing Analyst (Social & Influencer) to join their Marketing Sciences team. The ideal candidate will utilize statistical techniques to analyze social data, generating actionable insights that drive brand growth. Strong proficiency in SQL, Python or R, and experience with Tableau or Power BI is essential. This role offers competitive benefits and the chance to work with a diverse portfolio of global brands.

Benefits

25 days annual leave + 1 Volunteer Day

Enhanced Maternity, Adoption and Shared Parental Leave

Flexible Working Model

Wellbeing and Health benefits

Life Assurance

Qualifications

• Bachelor’s or Master’s degree in a quantitative field.
• Strong grounding in statistical modelling and hypothesis testing.
• Proficiency with SQL and either Python or R for data analysis.

Responsibilities

• Partner with clients to understand business objectives.
• Apply advanced statistical techniques to analyse campaign performance.
• Translate complex data into clear, concise reports for audiences.

Skills

Statistical modelling

Data manipulation

Storytelling skills

Analytical skills

Attention to detail

Education

Bachelor’s or Master’s degree in Statistics, Mathematics, Data Science, or related field

Tools

SQL

Python

R

Tableau

Power BI

Job description

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, Nudgestock – now in its 12th year.

The Role

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.

Responsibilities

• 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 CreatorIQ 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.

A bit about you

• Bachelor’s or Master’s degree in Statistics, Mathematics, Data Science, Economics, Computer Science or a related quantitative field.
• Strong grounding in statistical modelling, experimental design and hypothesis testing; familiarity with causal inference and time ‑ series methods.
• Proficiency with SQL and either Python or R for data manipulation, analysis and visualisation; comfortable with Git and reproducible workflows.
• Platform and tool experience
• Hands ‑ on experience with CreatorIQ and Sprinklr, or exposure to social listening tools (e.g., Brandwatch, Talkwalker) and native platform analytics.
• Experience building dashboards in Tableau or Power BI; ability to design intuitive, decision ‑ ready visualisations.
• Marketing and domain expertise
• Solid understanding of the social ecosystem and creator economy, including paid/owned/earned dynamics, platform KPIs and campaign objectives.
• Ability to link social & influencer activity to broader digital outcomes (brand lift, site/app behaviour, conversions and incremental impact).
• Excellent storytelling skills; confident presenting to clients and senior stakeholders.
• Highly analytical with a creative mindset; adept at simplifying complexity and inspiring action.
• Meticulous attention to detail, strong organisation and the ability to manage multiple projects and deadlines.

Nice to have

• Nice to have: working knowledge of cloud data warehouses (e.g., BigQuery, Snowflake), API integrations and workflow automation.
• Familiarity with digital channels, machine learning or predictive modelling is desirable but not essential.
• Experience with MMM or triangulating platform signals with incrementality testing.
• NLP and computer vision techniques for creative and conversation analysis.
• Knowledge of brand safety, disclosure compliance and fraud/inauthentic activity detection.
• GA4 or app analytics exposure; understanding of privacy ‑ safe measurement approaches.

How we help you Thrive

• 25 days annual leave + 1 Volunteer Day
• Enhanced Maternity, Adoption and Shared Parental Leave
• We have a Flexible Working Model with core working hours: 10am – 4pm
• Wellbeing and Health: Up to £25.00 per month towards physical or online exercise class membership, Unmind membership, LifeWorks tool and annual eye tests and development budgets and Wellbeing incentives and activities throughout the year
• Season Ticket Loan and Cycle to Work Scheme
• Life Assurance

Our ambition is to attract the very best diverse talent to Ogilvy, and to be the employer of choice in the UK. We want everyone to feel welcome when they join us, and once they’re here, for them to want to stay with us, grow their career, and to feel they belong with us.

We are an equal opportunity employer and we’re committed to creating an inclusive, welcoming environment for everyone who wants to work at Ogilvy. For us, diversity, equity and inclusion is integrated into everything that we do. We believe that for creativity to flourish, everything about how we work must have diversity at its core. Your race, colour, ethnic, religion, gender, gender identity, national origin, sexual orientation, age, marital status, disability, have no bearing on our hiring decisions, but we encourage everyone to feel free to express their true selves in an environment we are consistently striving to make as inclusive as possible.

We aim to facilitate an accessible and positive application experience for all candidates. If you require any adjustments from us to support you through the process or expect to require any adjustments to working conditions to be able to best perform in the role, please let us know. We are happy to consider all reasonable adjustments.

If you live with a disability and you would like to take advantage of our offer of a guaranteed interview under the Disability Confident Scheme, please ensure you fill out our voluntary Equal Opportunities Questionnaire when applying.

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