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

Data & Analytics Engineer

Data Analytics Engineer

Cloud Analytics Engineer

Senior Analytics Engineer

Data 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 Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.