Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Performance Marketing Data Analyst

Zealous Agency
Leeds
11 months ago
Applications closed

Related Jobs

View all jobs

Consumer Data Analyst Digital and Communications · Farringdon, London

Consumer Data Analyst

Consumer Data Analyst

Marketing Data Analyst

Marketing Data Analyst

Senior Marketing Data Analyst

Are you a Performance Marketing Data Analyst looking for an exciting opportunity that will elevate your career?


Do you want to become part of a highly successful marketing agency, with a talented team and people-first culture?


We're looking for a Data Analyst with experience in marketing and a knack for transforming data into actionable insights that drive groundbreaking marketing strategies. If you're passionate about data and performance marketing, and eager to make a tangible impact in a dynamic agency environment, we want to hear from you!


This leading award-winning agency specialises in blending creativity with data to shape powerful marketing strategies. With a collaborative team of PR, insights and creative marketing experts, they thrive on pushing boundaries and delivering innovative solutions that make businesses excel!


What You’ll Do:

  • Track Campaign Success:Design and implement KPIs that measure the impact of marketing efforts, using insights to enhance performance across channels
  • Work Across Teams:Collaborate with cross channel teams to ensure data-driven decisions shape every campaign
  • Drive Innovation:Stay on top of trends and tools in analytics, constantly seeking new ways to elevate strategies


What We’re Looking For:

  • 1-2 years proven experience in data analytics, within a marketing agency setting
  • Proficiency in tools and programming languages like Python, R, SQL, etc.
  • A passion for digital marketing, data-driven decision making, and continual learning in a fast-paced industry


If you're ready for an exciting opportunity and want to make a significant impact in the marketing world, we'd love to hear from you!


Please note, we are unable to progress candidates requiring future sponsorship for this role.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.