Tracking Expert and Data Analyst

Effect
Leicester
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineering Manager

Data Analyst

Data Engineer

Data Governance Lead

Data Engineer

Business Intelligence Analyst - Digital Experience

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.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

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.