National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Business Intelligence Officer

Guru
Fife
11 months ago
Create job alert


£40000.00 – £50000.00

A BI Developer/ Business Intelligence Analyst, who has experience within manufacturing and who is an expert at integrating BI visualisations is needed to join a global leader in plastics manufacturing. Expect a role that requires a mix of technical skills, data analysis experience and effective communication to support data-driven decision-making and enhance the company’s performance.

This role can be 100% remote working however it is expected that you will attend the office in Fife (KY6) as and when required.

For over 65 years this organisation has provided a collaborative, consultative approach to deliver unique solutions that help customers achieve better business results. With a fantastic culture based on their core values: Collaboration, Integrity, Drive for Excellence and Respect and a leading benefits package it is no wonder the average length of service is 15 years.

Reporting to the ICT Manager the BI Developer/ Business Intelligence Analyst will develop and deliver tools and visualisations to the company to aid in problem solving and monitoring business results. Responsibilities include gathering business intelligence from various sources, contributing to market strategies, staying updated on industry trends, promoting data exploration through interactive visualisations, prototyping, testing, and maintaining BI resources, working in Data warehouse design and development, evaluating BI tools, managing data, and performing other assigned duties. This position requires a blend of technical skills, data analysis, and effective communication to facilitate data-driven decision-making within the organisation.

To qualify…You could be a BI Developer/ Business Intelligence Analyst / Business Data Analyst / BI Specialist / Reporting Analyst / Data Integration Analyst or similar with a cv that demonstrates:

A degree in a relevant field in IT. Strong knowledge and experience with SQL and analytical tools Proficiency in developing impactful visualisations using Microsoft Power BI. Expertise in integrating BI visualisations with Microsoft Sharepoint and Office 365. Demonstrated proficiency in designing and implementing analytical tools across various aspects of a manufacturing organisation including front-end and support functions. Preferred experience with Azure data warehouse. Preferred experience with SSRS (SQL Server Reporting Services).

Related Jobs

View all jobs

Business Intelligence Analyst

Student Data Quality Officer (Audit)

Director -Data Science and Analytics

Director of Data Analytics and AI

Data Engineer

Data Engineer

National AI Awards 2025

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.