Data Analyst Apprenticeship

Getting In Limited
Colchester
2 months ago
Applications closed

Related Jobs

View all jobs

Data Technician Trainer

QHSE Data Analyst

Assessor / Trainer - Data Technician and Business Analyst

Assessor / Trainer - Data Technician and Business Analyst

Assessor / Trainer - Data Technician and Business Analyst

Employee Benefits Administrator

Subscribe to our newsletter below and never miss the latest updates or an exclusive offer.

Name Email Telephone Address Cover Note Upload CV

What do you want to search? Keyword Apprenticeship Type Location

Data Analyst ApprenticeshipApply From:24/02/2025Learning Provider

Delivered by BALTIC TRAINING SERVICES LIMITED

Employer

Sell Beyond

Vacancy Description

  • Perform detailed customer research, understanding typical behaviours and characteristics.
  • Complete market research using business databases, LinkedIn, Companies House, to identify potential new clients.
  • Inputting and Tracking sales data.
  • Use HubSpot CRM, Amazon Seller Central and Vendor Central.
  • Creating reports for Internal and External Stakeholders.
  • Utilise Microsoft Excel to complete data analysis.

Key DetailsVacancy Title

Data Analyst Apprenticeship

Employer Description

As a Data & Business Insights Apprentice at Sell Beyond, you will play a key role in helping our team transform data into actionable insights. Through hands-on training and mentoring, you'll learn to work with cutting-edge tools and techniques to analyse business performance, forecast trends, and support strategic decision-making. In this role you will have a fantastic work life balance, working hybrid with 4 days from home and 1 day in the office per week.

Vacancy Location

ROSEMARY RECTORY HILL COLCHESTER CO7 6TH

Wage Frequency

Custom

Number of Vacancies

1

Vacancy Reference Number

1000305234

Key DatesApply From

24/02/2025

Closing Date For Applications

2025-03-10 23:59:59

Interview Begin FromPossible Start Date

2025-03-17 00:00:00

TrainingTraining to be Provided

  • Your training will be delivered in 2-day blocks every 4 weeks, this will be in our online classrooms. Supported by a Specialist Coach from Baltic Apprenticeships.

Learning Provider

BALTIC TRAINING SERVICES LIMITED

Skills Required

Attention to detail, Eager to learn and develop, An analytical mindset

Apply Now

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

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

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Jobs Careers

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Jobs

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

🍪 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.