Junior Data Analyst - Power BI / SQL

Michael Page

Birmingham, United Kingdom

3 weeks ago

Applications closed

Related Jobs

View all jobs

Senior Full Stack Engineer (Must be based in UK)

PolyAI London, United Kingdom

Junior Data Scientist

The Flavour Network Nottingham, United Kingdom

Data Scientist - London, UK (Fully

Randstad Technologies Recruitment London, United Kingdom

Remote

Senior Solutions Architect (Strategic Account - Energy)

Databricks London, United Kingdom

PKPD Modelling Lead, London

Isomorphic Labs London, United Kingdom

PKPD Modelling Lead, Lausanne

Isomorphic Labs United Kingdom

Posted: 25 Mar 2026 (3 weeks ago)

Save job

Create job alert

Applications closed

The Junior Data Analyst will support the analytics team by collecting, analysing, and interpreting data to drive decision-making within the industrial and manufacturing sector. This role is based in Birmingham and offers an excellent opportunity to develop technical and analytical skills in a professional environment.

Client Details

This position is with a well-established organisation within the industrial and manufacturing sector. The company is a medium-sized enterprise with a strong reputation for delivering high-quality products and services. They focus on innovation and efficiency to maintain their competitive edge in the market.

Description

Collect, clean, and organise data from multiple sources to ensure accuracy and consistency.

Conduct data analysis to identify trends, patterns, and insights to support business decisions.

Generate reports and dashboards using data visualisation tools to present findings clearly.

Collaborate with team members to develop and refine data models and analytical processes.

Assist in automating data collection and reporting processes for increased efficiency.

Maintain and update databases to ensure data integrity and accessibility.

Provide support to other departments by delivering data-driven insights and recommendations.

Stay updated on industry trends and best practices in data analytics.Profile

A successful Junior Data Analyst should have:

A degree in a relevant field such as Data Science, Mathematics, Statistics, or Computer Science.

Strong analytical skills and attention to detail.

Proficiency in data analysis tools and software such as Excel, SQL, or Python.

Familiarity with data visualisation tools like Power BI or Tableau.

An ability to work collaboratively in a team environment.

Excellent communication skills for presenting data insights to stakeholders.

A proactive approach to problem-solving and learning new tools or techniques.Job Offer

A permanent position with a competitive salary ranging from £30,000 to £35,000 per annum.

Comprehensive pension scheme to support your future financial security.

Opportunities for professional development and career growth.

A collaborative work environment within the industrial and manufacturing sector.

Convenient location in Birmingham with access to local amenities.If you are ready to advance your career as a Junior Data Analyst, apply today to join this exciting opportunity in Birmingham

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.

Apr 9, 2026

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Mar 24, 2026

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Feb 11, 2026

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.