Business Analyst

Lydney
1 month ago
Applications closed

Related Jobs

View all jobs

Data Science Business Analyst

▷ Apply Now: Data Scientist/Business Analyst – PrivateEquity

Assessor / Trainer - Data Technician and Business Analyst

Assessor / Trainer - Data Technician and Business Analyst

Assessor / Trainer - Data Technician and Business Analyst

Jr Data Engineer_London_Hybrid

We're on the lookout for a dedicated Business Analyst to join our clients Technology department, who can efficiently streamline business operations and facilitate new technological advancements.

Client Details

Our client is a large organization, highly esteemed within the Manufacturing sector, with a strong international presence. Located in Lydney, they pride themselves on their innovative approach to technology and their commitment to sustainable practices.

Description

System Implementation & Administration

Lead and support new system rollouts, upgrades, and integrations (ERP, CRM, etc.).
Gather requirements, configure systems, and manage testing and deployment.
Provide ongoing support and troubleshooting for ERP and CRM platforms.

Data Analysis & Reporting

Perform SQL data mining to uncover business insights.
Build Power BI dashboards to support decision-making.
Automate repetitive tasks with VBA scripting.

Process Mapping & Optimization

Map business processes, identifying areas for improvement.
Design automated workflows to boost efficiency.
Work with teams to ensure system changes align with business needs.

Technical Support & Training

Deliver user training and create supporting documentation.
Troubleshoot system issues and collaborate with vendors as required.
Maintain data integrity, security, and compliance across systems.Profile

Education & Experience

Bachelor's degree in IT, Business, Data Analytics, or a related field (or equivalent experience).
3+ years of experience in business systems analysis, IT systems implementation, or related roles.
Practical experience with SQL Server, Power BI, VBA scripting, ERP, and CRM administration.
Familiarity with process mapping and business analysis methodologies.

Essential Skills & Knowledge

Strong SQL skills (queries, stored procedures, data mining).
Expertise in Power BI dashboard creation and VBA scripting.
Experience in ERP and CRM system management and implementation.
Understanding of business process mapping and workflow automation.
Ability to troubleshoot system issues and collaborate with vendors.
Knowledge of data governance, compliance, and system security best practices.
Familiarity with API integrations and system interoperability (a plus).

Preferred Skills

Experience with artificial intelligence (AI).

Key Attributes

Analytical mindset: Solves complex business and technical challenges.
Detail-oriented: Ensures accuracy in system configurations and data analysis.
Strong communicator: Explains technical concepts clearly to non-technical users.
Proactive & self-motivated: Takes ownership and drives improvements.
Team player: Collaborates effectively with IT, business, and vendor teams.
Adaptable: Thrives in evolving business environments and changing technologies.Job Offer

A competitive salary range of £50,000 - £60,000 GBP, depending on experience.
A vibrant company culture that encourages innovation and professional growth.
Generous holiday leave package.
Opportunities to work within an internationally recognized organization.
A rewarding role within the technology department, located in Lydney.
Opportunity to work in the USAWe encourage all suitable candidates to apply for this exciting opportunity to become a part of our team and contribute to the ongoing success of our company within the Industrial / Manufacturing industry. NB unfortunately this role does not support Candidates requiring sponsorship

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.

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

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

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

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.