Business Intelligence and Systems Analyst

James Frank Associates
Gillingham
2 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst | Hybrid | Immediate start

Data Analyst | FTC

Data Analyst

Business Intelligence Analyst

Senior Data Architect

Office Based Data Analyst

Our client, a leading business in their field is seeking a Business Intelligence and Systems Analyst to join them on a full-time, permanent basis.

Due to an exciting period of growth our client is looking to add a Business Intelligence and Systems Analyst to their team, working closely with the wider team to help shape how the organization uses data in order to drive performance.

You will help design, develop and optimize business intelligence solutions for internal platforms, ensuring processes are mapped, analyzed and streamlined.

The ideal candidate will have a minim of 5 years’ experience in a similar Business Intelligence Analyst / Business Analyst role.

Key Responsibilities:

  • Work closely with stakeholders in order to understand business needs and define reporting requirements

  • Develop and optimize Power BI dashboards and data sets

  • Map workflows and document processes

  • Validate data accuracy and consistency across multiple sources

  • Maintain documentation including process maps, gap analysis and user stories

  • Assist with ad-hoc SimPro day-to-day support duties

  • Identify opportunities for process improvements and automation

    Key Experience:

  • Minimum of 5 years’ experience in a similar BI Analyst / Business Analyst role

  • You will be an analytical individual with a high level of accuracy and attention to detail applied at all times

  • Ability to translate business needs into technical solutions

  • SQL expertise and experience for querying and analysis

  • Proficiency with Power BI including data modelling, DAX and Power Query

  • CRM experience (SimPro highly-desirable)

  • Knowledge of process improvement

    This is an excellent opportunity for a Business Intelligence Analyst to join a thriving business who are leaders within their field.

    You will be joining a successful organisation, working closely with departments within the business to help support process improvement across the entire organization.

    Due to the location of the role applicants will require their own vehicle and a valid driving license. CVs are being reviewed, so please apply now for immediate consideration

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.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.