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

Apply Now

Graduate Business Systems Analyst

Lincoln
5 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Graduate Data Analyst (Financial Crime)

Graduate Data Analyst (Financial Crime)

Business Intelligence Analyst New Thurnscoe, UK

Junior Data Analyst

Graduate Data Scientist

Graduate Business Systems Analyst
Lincoln - On Site
£26,000 - £30,000 + Bonus + Progression + Holiday + Pension + Training

On offer is an opportunity for a graduate to take on an exciting new position working for a manufacturing company that offers the framework to progress you through to seniority.

With over 60 years of successful trading, this company has expanded to multiple sites nationwide while consistently improving its financial performance. As part of their ongoing growth, they are now looking to add a new team member to support the delivery of key business systems projects, working closely alongside the manager.

In this dynamic role, you'll work under the guidance of senior team members to support and contribute to key projects. You'll help coordinate the implementation of business system changes across development, test, and live environments, assist with testing activities, and liaise with third-party vendors during system updates or modifications

The ideal candidate will hold a degree in Data Analytics, Data Science, or a closely related field such as Mathematics or Statistics. In addition to a relevant academic background, strong knowledge or experience with reporting and databases would be a significant advantage.

This is an exciting opportunity for a motivated individual looking to step into one of their first roles after graduation, where you'll put your degree to use while being supported in both your personal and professional growth.

The role:

  • Graduate Business Systems Analyst
  • Help coordinate the implementation of business system changes across development, test, and live environments
  • Gather and document information for system changes, supporting the creation of requirement specifications for review
  • Working on site in Lincoln

    The person:

  • Degree educated in Data Analytics/Data Science or a closely related field such as Mathematics or Statistics
  • Personable character who has an analytical mind and is mathematically sound

    Reference Number: BBBH - BBBH(phone number removed)

    To apply for this role or to be considered for further roles, please click "Apply Now" or contact Rise Technical Recruitment.

    Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles.

    The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates

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.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Jobs

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

🍪 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.