Junior Data Analyst

e-Careers Limited
Dudley
2 months ago
Applications closed

Related Jobs

View all jobs

Junior Data Analyst Program Participant (Hiring Immediately)

Junior Data Analyst

Junior Data Engineer

Data Analyst

Data Analysts

Senior Data Analyst - MMM / Econometrics

Are you looking to start a career in data analysis but don’t have prior experience? Join our team as a Trainee Data Analyst, and we will provide all the training you need to succeed in this exciting field.

This role is perfect for someone analytical, curious, and eager to learn, with a passion for working with data.

As a Trainee Data Analyst, you will work alongside experienced professionals and gain hands-on experience in data processing, analysis, and visualisation.

We’re committed to your development and will support you every step of the way as you grow into a skilled data analyst.

Responsibilities:

  • Data Collection & Processing: Assist in gathering, cleaning, and organising large datasets from multiple sources.
  • Data Analysis: Learn how to perform basic data analysis, generate insights, and identify trends using various tools and techniques.
  • Reporting & Visualisation: Help create reports and data visualisations to communicate findings to stakeholders, learning how to present data in an easy-to-understand format.
  • Collaboration: Work closely with senior analysts and other departments to understand business needs and contribute to ongoing projects.
  • Learning & Development: Participate in training sessions and apply new skills to real-world projects, with the opportunity to specialise in areas such as data science, business intelligence, or machine learning.
  • Documentation & Process Improvement: Assist with documenting analysis processes and identifying areas where data workflows can be optimised.

Requirements

We are looking for someone who has:

  • A passion for data and problem-solving.
  • Strong attention to detail and a methodical approach.
  • An eagerness to learn new tools and techniques.
  • Strong communication skills and the ability to work effectively in a team.

This role is Ideal for someone with no prior data experience but a keen interest in starting a career in data analysis.

Benefits

  • Comprehensive Training: Receive full training in data analysis, including tools like Excel, SQL, Power BI, Python, and more.
  • Career Development: Access to mentorship, career guidance, and opportunities for advancement as you grow in your role.
  • Hybrid Working: Enjoy a flexible work arrangement with a combination of remote work and office-based collaboration.
  • Supportive Team: Join a friendly, inclusive team that encourages growth and learning.
  • Competitive Salary: Receive a competitive starting salary with performance-based increases.
  • Health & Wellbeing: Access to health benefits and wellbeing initiatives.
  • Paid Time Off: Generous annual leave and public holiday allowances to support a healthy work-life balance.
  • Professional Growth: Opportunities to take on more responsibilities and specialise in areas of data analysis that interest you.

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 Careers

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Jobs

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

Jobs

Machine Learning Jobs in the Public Sector: Opportunities Across GDS, NHS, MOD, and More

Machine learning (ML) has rapidly moved from academic research labs to the heart of industrial and governmental operations. Its ability to uncover patterns, predict outcomes, and automate complex tasks has revolutionised industries ranging from finance to retail. Now, the public sector—encompassing government departments, healthcare systems, and defence agencies—has become an increasingly fertile ground for machine learning jobs. Why? Because government bodies oversee vast datasets, manage critical services for millions of citizens, and must operate efficiently under tight resource constraints. From using ML algorithms to improve patient outcomes in the NHS, to enhancing cybersecurity within the Ministry of Defence (MOD), there’s a growing demand for skilled ML professionals in UK public sector roles. If you’re passionate about harnessing data-driven insights to solve large-scale problems and contribute to societal well-being, machine learning jobs in the public sector offer an unparalleled blend of challenge and impact. In this article, we’ll explore the key reasons behind the public sector’s investment in ML, highlight the leading organisations, outline common job roles, and provide practical guidance on securing a machine learning position that helps shape the future of government services.

🍪 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.