Analytics Engineer

Bournemouth
2 weeks ago
Create job alert

Please note, this role requires the successful candidate to work in the office in central Bournemouth 3 times per week.

Your new company
Join a dynamic and innovative organisation that is the definition of a data-driven company, with data at the heart of everything they do. This company values creativity, collaboration, and continuous improvement, making it an exciting place to grow your career.

Your new role
As an Analytics Engineer, you will be central to unlocking value from data within the team. You'll be part of a collaborative, cross-functional group with strengths in Data Engineering, Data Analysis, Analytics Engineering, and Business Intelligence. You will serve as the bridge between raw data and meaningful insights, working closely with stakeholders to transform business needs into effective data-driven solutions. A key part of your role will be to own and lead the Cold Data Business Intelligence processes, ensuring high-quality, targeted data flows into core marketing channels. You will also collaborate with internal tech teams to ensure seamless integration of data solutions across the business.

What you'll need to succeed
To excel in this role, you should have:

Advanced SQL skills with strong performance awareness
Familiarity with Azure data tools (e.g., Data Factory)
Python knowledge for data wrangling and automation tasks
Experience with Power BI or similar data visualisation platforms
Understanding of data modeling and data warehousing concepts
Exceptional communication and stakeholder engagement skills
Strategic thinking with strong attention to detail
A proactive approach to owning processes and taking initiative
A data-first mindset with a deep sense of responsibility for quality and security
Passion for learning, sharing knowledge, and being a proactive team player

What you'll get in return
In return for your hard work and dedication, you will receive:

Competitive salary and benefits package
Opportunities for professional development and career advancement
A supportive and inclusive work environment
The chance to set the gold standard for excellence within the BI community by delivering clean, scalable, and high-performing data solutions

What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Related Jobs

View all jobs

Analytics Engineer

Cloud Analytics Engineer

Data & Analytics Engineer

Data Analytics Engineer

Data Engineer / Analytics Engineer

Senior Analytics Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.