Digital Analytics

Cosham
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Data Engineer

BIM DATA Engineer

Senior Data Engineer

We are looking to recruit a Digital Analytics Specialist to take ownership of digital data, BI dashboards, and performance tracking. You'll play a key role in transforming raw data into visual stories that help drive business success.

Key Responsibilities

Build and maintain dashboards and reports using Power BI
Develop interactive visualisations that support business goals
Optimise data models and queries for efficient performance
Data Analysis & Reporting
Identify trends and insights through data analysis
Blend digital data with internal KPIs for unified reporting
Build customer journey views using web, engagement, and conversion metrics
Tracking & Implementation
Implement and manage tracking via Google Tag Manager and GA4
Set up custom events for detailed behavioural insights
Work cross-functionally with internal teams and external partners

Experience

Business Intelligence & Data
Power BI, Excel, SQL Server
Power Query, Python, Fabric (a plus)
Digital Analytics
Google Analytics 4, VWO, Hotjar
Google Tag Manager, Tealium
Marketing & CRM Platforms
Google Ads, Meta Ads, LinkedIn Ads, HubSpotSalary & Benefits:

A competitive starting salary of 30k plus a comprehensive range of benefits that include:
24 days holiday plus bank (increasing 1 day each year)
1 WFH per week
Flexible working - core hours are 10am-4:30pm)
Training & Personal Development Plan
Healthcare & Wellbeing Support
State of the Art offices with the latest tech
Private Pension Scheme
On-site Personal Trainer & Gym
Enhanced Perk Box
EAP System
Due to location, candidate should ideally have their own transport

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.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

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

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.