Business Intelligence Analyst Group Services · United Kingdom ·

risual Limited

1 year ago

Applications closed

Related Jobs

View all jobs

Senior BI Data Analyst

Business Intelligence Analyst

Performance and Data Analyst (SEND)

Senior Business Intelligence Analyst

Snowflake Data Engineer - Outside IR35 - Remote

Power BI Data Analyst

Become a change maker and join Node4.

Node4 have a committed, talented, and diverse workforce that is growing all the time, but as we expand through our own growth and acquisitions, we never lose sight of the most important part of our business -our people.We want you to grow, learn, and evolve alongside us.

So, whether you're just starting out in your career or looking to progress as an industry professional, Node4 has a place for you.

About the role

With a passion for data and an innate curiosity, the Business Intelligence Analyst will be responsible for consolidating and transforming data from a variety of sources into business-critical reports, dashboards, and data solutions. The position involves working closely with various departments to understand their data needs, developing and maintaining BI solutions, and ensuring data integrity and accuracy.

Because this is a cross-functional role, the ability to communicate with varying stakeholders is essential. The role involves communicating with technical specialists, data owners, and business stakeholders to successfully deliver data solutions.

What will you bring?

Have experience in a similar role, with a proven track record of developing and implementing BI solutions
Proficiency in Power BI, Excel, and experience with Powerpoint preferred
Ability to translate complex data into actionable insights, reports, and dashboards for non-technical stakeholders
Solid understanding of data modelling and ETL processes with experience retrieving and integrating data from various sources
Strong stakeholder management skills including the ability to present to a wide audience
Excellent problem-solving skills with a curious and analytical mindset
Excellent written and verbal communication skills, capable of explaining technical findings to non-technical stakeholders
A positive and solution focused approach to tasks and projects

Responsibilities

Translate business problems and user needs into detailed requirements, to be used to create meaningful reports and dashboards
Design and develop reports, dashboards, and visualisations using tools such as Power BI and Excel to deliver insights to stakeholders
Develop and maintain data pipelines & ETL processes to automate the collection and integration of data from a variety of sources
Prepare regular reports to be provided to Senior and Executive Management and the board
Pro-actively identify areas for improved efficiencies or improved clarity
Work with senior leadership to ensure their analytic needs, ad-hoc requests, and change requests are being delivered successfully
Monitor and troubleshoot system performance, implementing improvements as needed
Provide training and support to end-users on data solutions including occasionally demonstrating solutions to larger audiences
Stay up to date with the latest BI technologies and best practices

What can we offer you?

Hybrid Working
Private Medical Insurance or Company Paid Health Cash Plan
Employee Assistance Program
25 days holidays plus your birthday off
Option to purchase additional holiday (up to 5 days)
Company Pension Scheme
Life Assurance x 4
A diverse workforce
Employee investment with Node4 training Academy
Family savings and shopping discounts through the Node4 benefits portal.
Discounted Gym Membership
Modern facilities with open and welcoming breakout areas
Company Social events
Never ending supply of hot and cold drinks, biscuits, sweets, and fruit

Why join Node4?

Founded in 2004, Node4 has experienced exceptional growth and success over the years. From an office in Derby to locations nationwide. From three people to a workforce of over 1200. We believe that our people are the driving force behind our success. We are a vibrant, passionate, and diverse team committed to providing exceptional service as standard. We are proud of our employees and the environment that reflects our core business values of Passion, Innovation, and Trust.

Node4 is the place to be if you are passionate about technology and providing exceptional service while developing your career within a welcoming and evolving company.

TAKE A LOOK ATOUR STORY

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

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

Feb 10, 2026

Careers

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

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Feb 3, 2026

Jobs

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.

Jan 23, 2026

Education

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.