Trainee Data Analyst Excel, SQL & Power BI)

Netcom Training
Manchester, United Kingdom
Last month
Applications closed

Related Jobs

View all jobs

Data Analyst

Healix Esher, United Kingdom

Systems and Data Analyst

Acis Group Gainsborough, United Kingdom

AI Trainer

We Are Zenith Hebburn, Tyne & Wear, United Kingdom
£40,000 – £60,000 pa Hybrid

Lead DBA

Buzz Bingo Nottingham, Nottinghamshire, United Kingdom
£60,000 pa

Research Assistant - Human Influence

AI Security Institute London, United Kingdom
£40,000 – £60,000 pa On-site

Staff Research Engineer - Video Post Training

Synthesia London, United Kingdom
£50,000 – £100,000 pa Remote
Posted
27 Mar 2026 (Last month)

About the opportunity

Are you ready to launch a career in the fast-growing world of Data Analytics and Business Intelligence?

Netcom Training’s fully-funded Certificate in Data (Level 3) equips you with the technical skills employers are actively seeking. Unlike standard administration courses, this programme focuses on the specific tools used by industry pros, including Excel, SQL, Tableau, and Power BI.

From sourcing and cleansing data to creating visual dashboards that drive business decisions , you will gain hands-on experience that prepares you for roles like Junior Data Analyst, Data Technician, or Business Analyst.

Upon completion of this course your profile will marketed to our excusive network of hiring partners with active roles and you will be guaranteed a dedicated career coach

Course Details

* Start Date: 07/04

* Duration: 17 weeks, Mon-Thur, 6-9PM

* Format: Online, practical workshops

* Qualification: NCFE Accredited Level 3 Certificate

What you’ll learn

You will move beyond the basics and master the full data lifecycle:

* Core Tools: Gain hands-on skills in Excel, SQL, Tableau, and Power BI.

* Data Sourcing: Understand common data sources and how to collect data effectively.

* Processing: Learn to format, blend, link, and save datasets using professional tools.

* Analysis: Apply statistical methods and algorithms to filter data and support business outcomes.

* Visualisation: Create clear, engaging dashboards to present insights to stakeholders.

* Security & Compliance: Understand GDPR and legal requirements for secure data handling.

* Collaboration: Learn to work effectively within multi-functional teams.

Career Pathway

Successful participants will be marketed to our excusive network of hiring partners with active roles and you will be guaranteed a dedicated career coach.

Potential Roles:

* Junior Data Analyst

* Junior Business Analyst

* Data Technician

* Data Administrator

Eligibility

This is a government-funded opportunity. To apply, you must:

* Live in Greater Manchester

* Be aged 19 or over.

* Have lived in the UK/EU for a minimum of 3 years.

* Earn below the gross annual wage cap (approx. £32,400 for GMCA).

* Prerequisites: Basic IT skills are required.

Cost

This is a fully-funded course with no fees – complete the training, gain your Level 3 Certificate

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.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science 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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

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.