Data Analyst Apprenticeship

Baltic Apprenticeships
London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst Apprentice

Trainee Data Analyst - no experience necessary

Data Analyst Apprentice

Data Analyst Level 4 Apprentice

Data Analyst Level 4 Apprentice

Data Analyst - Farming Operations

Ready to begin a career where data fuels real impact? Platform Logic is inviting ambitious talent to join as a Data Analyst Apprentice.

As a specialist consultancy helping organisations streamline processes and make smarter, data-driven decisions, Platform Logic is known for transforming complexity into clarity through expert use of the Microsoft Power Platform. Their team empowers businesses to work faster, smarter and more efficiently

and now theyre offering an opportunity for an apprentice to grow at the heart of this mission.

The successful candidate will step into a hands-on learning environment, working alongside Microsoft-certified professionals and contributing to real client projects from day one. With values grounded in integrity, innovation, collaboration and excellence, Platform Logic provides an inspiring place to develop analytical skills and launch a future-ready career.

In this role, youll work towards your Level 4 Data Analyst qualification, delivered by our expert training team at Baltic Apprenticeships
?
A Typical Day in the Job:
Use tools like Power BI, SQL and Excel to extract and work with data, with opportunities to learn new technologies such as Microsoft Fabric.
Support a range of client projects by creating reports across different industries, such as retail, insurance and finance.
Build clear and engaging dashboards and reports using visuals, tables and interactive features.
Identify trends and patterns in data to help clients understand performance.
Turn data insights into simple, practical recommendations for clients.
Work with different stakeholder groupsincluding product owners, managers and senior leadersto understand what they need from their reports.
Present findings and recommendations using Power BI and occasionally PowerPoint.
Follow GDPR and data protection guidelines when handling all client information.
Full training and support will be provided by your workplace mentor and from the team at Baltic Apprenticeships.

Desired Qualities, Skills and Knowledge
An eagerness to learn and develop.
An interest in Data Analytics.
Strong communication skills.
Ability to work as part of a team and independently.
Be proactive and self sufficient.
Grade 5 in GCSE Maths and Grade 4 in GCSE English.
Salary, Hours?&?Benefits:
£15,000-£18,000 per annum.
Monday to Friday 9am-5pm.
28 days annual leave including Bank Holidays.
Company pension scheme.
Hybrid working available.
Your Training with Baltic Apprenticeships
Baltic Apprenticeships were the first training provider to offer a completely tech-focused, tech-driven training solution. We help people transform their knowledge and passion into skills that employers need.

This apprenticeship will teach you essential data skills, including how to source, format and present data; data validation and analysis; and how to apply legal and ethical principles when gathering and manipulating business data.

To apply, please submit your CV and a cover letter explaining your interest in the role and what you hope to gain from an apprenticeship with Platform Logic. If your application is then successful, one of our recruitment consultants will be in touch to discuss your application further.

Eligibility Criteria
You must have the right to work in the UK, and valid residency status to apply for this apprenticeship.

INDDA

TPBN1_UKTJ

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.

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.

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.

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.