Business Intelligence Analyst

In Technology Group
Nottingham
3 weeks ago
Applications closed

Related Jobs

View all jobs

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Business Intelligence Analyst

Get AI-powered advice on this job and more exclusive features.

This range is provided by In Technology Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from In Technology Group

Head of Data, BI, and AI @ In Technology Group.

Job Title: Business Intelligence Analyst (BI)

Location: Nottingham On-site (Local Candidates Only)

Employment Type: Full-time, Permanent

About Us

My client is a leading manufacturer committed to innovation, precision, and quality. With a strong focus on operational efficiency and digital transformation, we're looking for a Business Intelligence (BI) Analyst to help drive data-informed decisions across our shop floor and wider business operations.

Role Overview

As a BI Analyst, you will be responsible for developing, maintaining, and optimizing data pipelines and reporting systems that deliver actionable insights to stakeholders across the business. A key part of your role will involve understanding the manufacturing process and shop floor activities in real-time, which requires full-time on-site presence and collaboration with production teams.

Key Responsibilities

  • Design, build, and maintain data pipelines that integrate production, sales, and operational data.
  • Develop and manage Power BI dashboards and reports tailored to shop floor and business needs.
  • Translate raw data from systems like Navision/Business Central (Nav to BC) into meaningful insights.
  • Support the build and maintenance of a data warehouse, ensuring structured, reliable, and query-optimised data storage.
  • Collaborate with engineers, production staff, and management to identify and monitor key metrics.
  • Ensure high data quality, system uptime, and responsive reporting for real-time decision-making.
  • Troubleshoot data issues and implement efficient data governance practices.

Skills & Experience

  • Proven experience in Power BI.
  • Strong SQL skills and experience building ETL/ELT pipelines.
  • Familiarity with Microsoft Dynamics NAV / Business Central.
  • Ability to work independently and collaboratively on-site with cross-functional teams.
  • Experience with data orchestration tools (e.g., Power Automate, Azure Data Factory).
  • Background in manufacturing or engineering environments.
  • Strong communication and stakeholder engagement skills.
  • Experience working with data warehouses and data modeling.
  • Understanding of manufacturing operations and shop floor systems.

Why Join Us?

  • Join a stable and respected company with deep industry roots.
  • Be a key part of our digital transformation journey.
  • Collaborate closely with operations to make a direct impact on production efficiency.
  • Career growth opportunities based on performance and initiative.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Analyst and Information Technology

Industries

  • Industrial Machinery Manufacturing, IT Services and IT Consulting, and Technology, Information and Media

Referrals increase your chances of interviewing at In Technology Group by 2x

Sign in to set job alerts for “Business Intelligence Analyst” roles.

Nottingham, England, United Kingdom 1 week ago


#J-18808-Ljbffr

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

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

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

Education

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

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Careers Jobs

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.

🍪 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.