Business Support Analyst

Leeds, Kent
10 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Governance Analyst (PIM)

Data Analyst Training Course (Excel, SQL & Power BI)

Data Analyst Training Course (Excel, SQL & Power BI)

Data Engineer | Outside IR35 | £400 - £500 | 6 months | Hybrid Nottingham

Data Engineer

Business Systems Support Analyst

Bearsted/Maidstone/Kent

£38,047

Full Time Permanent

Office based

Monday-Friday 9-5

Benefits:

  • Company events

  • Company pension

  • Discounted or free food

  • Enhanced maternity and paternity leave

  • Free onsite parking

  • Health & wellbeing programme

  • Sick pay

    Do you understand SQL, Report Writing, and Business Intelligence tools? You will be perfect for our client who needs a Business Systems Support Analyst to support their IT business Team.

    You will work on continuous improvement, development, and introduction of new ways of working to ensure the business systems are as efficient and fit for purpose as possible.

    Training and guidance will be provided on each of the specific applications and there will be a requirement to spend time across multiple sites in this role.

    Essentials:

  • Good working knowledge of ERP systems (preferably Prophet)

  • SQL Querying is a must

  • An understanding of Business Intelligence tools (preferably ‘Power BI’ and Crystal Reports)

  • Working with and through end users and customers

  • Ability to work to challenging deadlines in a pressurised environment

  • Excellent planning and organizational skills

  • Written and verbal communication and interpersonal skills

  • Excellent team working

  • Flexibility in thinking and approach

  • Customer understanding

  • Thoroughness/attention to detail

  • Analytical thinking

    Key Responsibilities:

  • Work with site teams to investigate opportunities to improve data capture, management, visualisation with a view to developing more efficient processes.

  • Ensure a tight change control process is followed from start to finish, ensuring all parties are kept informed of progress through-out.

  • Take ownership of the data-management of ERP QC Inspection Sheets system, ensuring timely changes are documented, and carried out at the customer’s request.

  • Assist with the implementation, oversight and continued development of systems.

  • Provide comprehensive testing for ERP upgrades, taking ownership and refinement of the overall testing plan and supporting the subsequent upgrade, escalating to 3rd parties if appropriate.

  • Document workflows and practices

  • Test new workflows and implement in conjunction with the wider team(s)

  • Capable of prioritising multiple projects with strict deadlines

  • Dealing with issues that have been escalated in a timely manner, liaising internally or with 3rd parties where appropriate, ensuring the necessary urgency is given to each incident.

    Know someone on the job hunt? Refer them to Carlton Recruitment! If we successfully place them and they complete their 3-month probation, you’ll snag a £100 retail voucher as a thank you! 😊Please note we will double check they have not already applied themselves or are on our books already

    To help speed up the process of uploading your CV to the client we would suggest that you send us your CV in Word format (or equivalent) if possible, rather than as a PDF

    Disclaimer: Due to the high amount of interest that we receive for each of our roles, unfortunately we cannot respond to each application individually, therefore if you do not hear back from one of our consultants within 14 days then unfortunately you have not been shortlisted for this role

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 Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

Jobs

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.

Education

The Skills Gap in Data Engineering Jobs: What Universities Aren’t Teaching

Data engineering has quietly become one of the most critical roles in the modern technology stack. While data science and AI often receive the spotlight, data engineers are the professionals who design, build and maintain the systems that make data usable at scale. Across the UK, demand for data engineers continues to rise. Organisations in finance, retail, healthcare, government, media and technology all report difficulty hiring candidates with the right skills. Salaries remain strong, and experienced professionals are in short supply. Yet despite this demand, many graduates with degrees in computer science, data science or related disciplines struggle to secure data engineering roles. The reason is not academic ability. It is a persistent skills gap between university education and real-world data engineering work. This article explores that gap in depth: what universities teach well, what they consistently miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data engineering.

🍪 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.