Marketing Data Analyst

Harvey Nash
London
5 days ago
Create job alert

One of our big tech clients is hiring for a Marketing Science Partner.


Marketing Science Partner

Job Duration: 12 -Months

Location: UK Onsite - Hybrid- Brock Street(3 days per week in office)

Via PAYE


Skills:

  • Turkish Proficiency
  • Marketing Analytics
  • SQL
  • Marketing Mix Model(MMM)
  • Client Facing experience(Turkey)


The Marketing Science Partner is a highly quantitative measurement professional, with marketing analytics experience to drive the Facebook measurement strategy with our largest Global Advertisers. To successfully influence how client’s conduct and use measurement, the role will need to be able to work cross-functionally with advertisers, sales teams, and other members of the Marketing Science team.

The ideal candidate will be passionate about advertising, intellectually curious, and able to move fast while keeping focused on high impact projects. This role requires a strong understanding of the media landscape and ability to apply quantitative techniques to understand consumer behaviour and advertising effectiveness.

Marketing Science Partner Responsibilities:

- Drive our global advertisers to measure true business value by operationalising analyses and research that will prove the value of Facebook’s advertising business.

- Play a strategic role in developing the cross-platform and cross-media measurement approaches and learning agendas for our global clients

- Conduct in-depth standard and custom ad effectiveness studies/meta-analysis for Facebook global advertisers to understand the relative impact of different marketing strategies across digital platforms and across media

- Drive client, vertical, and industry adoption of learning & preferred measurement methodologies, products, and approaches

- Engage in senior client conversations, presentations of results, and consult internally with the sales teams to advise them on marketing best practices using evidence based insights.

- Provide feedback to and collaborate with Product, R&D, and Partnerships teams to identify opportunities for new features, products, and partnerships

Requirements/Qualifications:

- Experience in research, analytics, or ad effectiveness

- A bachelor’s degree in psychology, statistics, economics, behavioural or social science or a related field

- An understanding of online advertising and familiarity with branding and performance advertising and marketing frameworks, including ad effectiveness measurement techniques

- Experience with statistical analysis, including but not limited to experimental design, modelling, or advertising research

- Experience building connections with customers and team members through effective communication and collaborating cross-functionally

- Comfortable communicating complex topics to a non-technical audience & experience of inspiring action based on data-driven insights including influencing advertiser planning and buying behaviour

- A track record of operating independently, demonstrating creativity, being detail-oriented, and delivering results in a highly organised manner

Related Jobs

View all jobs

Marketing Data Analyst

Marketing Data Analyst

Marketing Data Analyst

Data Analyst – Marketing Performance

Data Analyst (HYBRID)

Senior Data Analyst - MMM / Econometrics

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.