Performance Marketing Data Analyst

Zealous Agency

Leeds

1 year ago

Applications closed

Related Jobs

View all jobs

Senior Data Analyst - Performance Marketing - 8 -month FTC

Senior Data Analyst — Performance Marketing & Client Insights

Senior Marketing Data Analyst

Senior Marketing Data Scientist: Incrementality & Optimization

Senior Data Analyst

Marketing Data Analyst: Drive Campaign Insights & Growth

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.

Industry Insights

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

Jan 18, 2026

Careers Jobs

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

Jan 13, 2026

Jobs

How to Write a Data Science Job Ad That Attracts the Right People

Data science plays a critical role in how organisations across the UK make decisions, build products and gain competitive advantage. From forecasting and personalisation to risk modelling and experimentation, data scientists help translate data into insight and action. Yet many employers struggle to attract the right data science candidates. Job adverts often generate high volumes of applications, but few applicants have the mix of analytical skill, business understanding and communication ability the role actually requires. At the same time, experienced data scientists skip over adverts that feel vague, inflated or misaligned with real data science work. In most cases, the issue is not a lack of talent — it is the quality and clarity of the job advert. Data scientists are analytical, sceptical of hype and highly selective. A poorly written job ad signals unclear expectations and immature data practices. A well-written one signals credibility, focus and serious intent. This guide explains how to write a data science job ad that attracts the right people, improves applicant quality and positions your organisation as a strong data employer.

Jan 6, 2026

Education Jobs

Maths for Data Science Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are applying for data science jobs in the UK, the maths can feel like a moving target. Job descriptions say “strong statistical knowledge” or “solid ML fundamentals” but they rarely tell you which topics you will actually use day to day. Here’s the truth: most UK data science roles do not require advanced pure maths. What they do require is confidence with a tight set of practical topics that come up repeatedly in modelling, experimentation, forecasting, evaluation, stakeholder comms & decision-making. This guide focuses on the only maths most data scientists keep using: Statistics for decision making (confidence intervals, hypothesis tests, power, uncertainty) Probability for real-world data (base rates, noise, sampling, Bayesian intuition) Linear algebra essentials (vectors, matrices, projections, PCA intuition) Calculus & gradients (enough to understand optimisation & backprop) Optimisation & model evaluation (loss functions, cross-validation, metrics, thresholds) You’ll also get a 6-week plan, portfolio projects & a resources section you can follow without getting pulled into unnecessary theory.