Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Junior Data Analyst Apprenticeship

Baltic Apprenticeships
Manchester
3 days ago
Create job alert

Ready to kick-start your career in data and production planning?

At Park Cakes, we've been baking cakes and desserts for the UK's biggest retailers for over 80 years - and now we want you to join us. As a Data Analyst Apprentice, you'll learn how to turn numbers into insights that keep our bakeries running smoothly and help shape the future of our business. You'll get hands-on experience working in a fast paced environment to produce production plans for large orders.

We're looking for someone curious, motivated, and excited to learn - no previous experience needed. If you're good with numbers, love solving problems, and want a career with real progression, this is the perfect place to start. You'll earn while you learn, gain a recognised qualification, and have the chance to move into a full Production Planning role once you complete your apprenticeship.

In this role, you'll work towards your Level 3 Data Technician qualification, delivered by our expert training team at Baltic Apprenticeships.

A Typical Day in the Job
  • Provide holiday cover for the planning team.
  • Produce accurate production plans, both daily and weekly while working within constraints.
  • Manage stock levels to meet customer and business needs.
  • Produce reports for various departments to monitor production progress on customer requirements and manage service levels to the customer.
  • Provide planning forecasts in order to predict labour/agency and capacity.
  • Responsible for agreed stock holding levels of both finished goods and work in progress.
  • Work closely with Production teams to efficiently utilise Labour and Production resource time.

Full training and support will be provided by your workplace mentor and from the team at Baltic Apprenticeships.

Desired Qualities, Skills and Knowledge
  • A good level of IT skills, including excel
  • Ability to stay calm in a pressurised environment and think logically under pressure
  • Good communication and influencing skills, both verbal electronic
  • Ability to building strong working relationships and work within multiple teams
  • Operate in a flexible working environment including hours of work
  • Highly numerate and comfortable with analysing data
  • Able to rationale and asses multiple views to get a decision
  • Grade 5 in GCSE Mathematics and Grade 4 in GCSE English
Salary, Hours & Benefits
  • £29,500 per annum
  • Monday to Friday 6am-3pm
  • 25 days annual leave plus 8 bank holidays
  • Health cash plan
  • Immediate discount scheme for high street and on line retailers & services

This apprenticeship programme will provide you with everything you need to launch and develop your career in data. Afterwards, we'll support you to take the next steps, including further training and progression onto a Level 4 qualification.

Your Training with Baltic Apprenticeships

This section describes how Baltic Apprenticeships supports training and what you will learn during the apprenticeship.
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.

INDDA


#J-18808-Ljbffr

Related Jobs

View all jobs

Junior Data Analyst Apprenticeship

Junior Data Analyst Apprenticeship

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

Junior Data Analyst

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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.