Tracking Expert and Data Analyst

Effect
Leicester
4 days ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Data Analyst

Data Analyst

Data Engineer

Data Engineer

Data Engineer

Our mission is to unleash the power of first-party data to craft personalised campaigns and brand experiences that customers love, driving exceptional results for our clients.

As a fast-paced and innovative agency, we challenge ourselves and our clients to think big. If you're ready to make an impact and grow with a dynamic team, we want to hear from you.

We’re looking for a strategic and technically skilled Tracking Expert & Data Analyst to build and lead our data and analytics capabilities. This pivotal role will focus on implementing advanced tracking solutions, creating insightful reports, and providing data-driven recommendations to optimise performance.

If you're passionate about leveraging data to drive results and delivering impactful insights, this role offers an exciting opportunity to shape the way we collect, analyse, and use data across a diverse range of clients.

What You'll Do

What You'll Do

Leadership

Lead cross-functional projects to uncover insights that drive strategic decisions and optimisation opportunities.

Collaborate with marketing, development, design, project management, and account teams to align goals and data strategies.

Define team roadmaps, goals, and processes to support business objectives.

Technical Implementation

Configure and manage GA4 properties for clients, ensuring accurate data collection and actionable insights.

Implement advanced campaign tracking using tools like Google Tag Manager and custom data-layer setups.

Build custom dashboards using Looker Studio, Power BI, Tableau and similar tools.

Explore AI-driven solutions to enhance data collection, visualization, and automation.

Data Analysis & Insights

Analyse data to provide actionable insights, supporting campaign performance and client reporting.

Create and maintain dashboards to visualise key metrics for clients and internal teams.

Support attribution modelling, A/B testing, and optimization efforts with detailed recommendations.

Establish and maintain data governance practices to ensure data quality and security.

Identify opportunities to integrate and streamline data using tools like Google BigQuery and Snowflake

New Business Development

Provide insights and data support for new business pitches and case study development.

Collaborate with teams to analyse user behaviour and campaign performance for prospective clients.

About you

About you

Advanced experience with Google Analytics 4 and Google Tag Manager.

Proficiency in BI tools like Looker Studio and Power BI.

Strong knowledge of dataLayer customisation for advanced tracking needs.

Experience with ETL processes and data pipelines.

Familiarity with Google BigQuery, SQL, and performance marketing analytics.

Ability to analyse user journeys and identify optimisation opportunities.

What we can offer you

What we can offer you

Flexible Working: Work from home on Wednesdays and Thursdays (post-probation).

Studio-first Culture: Join us in-studio on Mondays, Tuesdays, and Fridays for collaborative energy (we work from a purpose-built studio in the heart of the cultural quarter – we love it!)

25 days holiday allowance plus bank holidays

Private Medical insurance

Company pension scheme

Regular socials and company away days

Training and development including events and conferences

The tools you need to be awesome, a new Apple Laptop and a super comfy Herman Miller chair

We plant trees and fund the world’s best climate crisis solutions to offset the carbon emissions of our team members

Ready to take your career to the next level? Join a supportive, fast-growing team where your ideas matter. Apply now and tell us about your experience.

Diversity & Inclusion

Diversity & Inclusion

Effect Digital takes pride in creating an environment where everyone can be themselves. This starts with recruitment.

We pledge to make our roles as open as possible and to provide equal opportunities to everyone that is kind enough to give us their time. All recruitment decisions we take will be based solely on the positive skills and behaviours that applicants display and absolutely nothing else.

We do not discriminate based on any personal characteristics, we’re a people-first agency and we care about individuals.

If something is important to you, it's important to us. If you have a particular need during the application process or during your time at Effect Digital, please let us know.


#J-18808-Ljbffr

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.

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

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

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

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.