Business Intelligence Analyst

JW Lees
Hartlepool
10 months ago
Applications closed

Related Jobs

View all jobs

Business Intelligence / Data Analyst

Fluent Spanish - Senior Business Intelligence Data Analyst

BI & Data Analyst - Power BI

Data Analyst (Banking Domain)

Product Data Analyst

Product Data Analyst

Business Intelligence Analyst Vacancy – Up to £33,000 - Middleton, Manchester

This is an office based role

JW Lees has an exciting opportunity for a Business Intelligence Analyst to join the Financial
Data and Analytics Team based at our Greengate Brewery in Middleton, Manchester.

What’s in it for you as a Business Intelligence Analyst:

  • Competitive pay - Up to £33,000
  • Private medical cover with BUPA
  • Profit share
  • Enhanced family friendly policies
  • Access to BenefitHub offering online and high street discounts
  • Discount in all our managed pubs, inns and hotels
  • Access to our employee assistance programme
  • Yearly service recognition
  • Annual party and conference

Role & Responsibilities:

  • Support the Financial Data and
    Analytics team on the exciting journey of implementation of Power BI into the
    business.
  • Continued
    development of reporting using Power BI, collaborating with business users to understand
    requirements and deliver customised reporting.
  • Support with completing and
    continuously developing current weekly / monthly / annual Excel based reporting.
  • Support with ad hoc data
    reporting and analysis based on stakeholder needs.
  • Analytical approach to data with
    a view to offering insight and highlighting opportunities that support the
    business’ strategy.
  • Ensure the accuracy, consistency,
    and reliability of all delivered data outputs.
  • Stay informed on the latest
    trends and best practices in data visualisation and reporting.

The Person



  • Solid commercial experience of
    having worked as a Business Intelligence Developer using Power BI.
  • Strong experience of using Power
    BI to create management dashboards from multiple data sources.
  • Strong experience of using Microsoft
    Excel to create reporting.
  • Experience of understanding and
    visualising financial data is preferable.
  • Ability to build solid working
    relationships with colleagues at all different levels.
  • Effective workload management and
    organisational skills to ensure that deadlines are met, and productivity is
    maximised.
  • Good team player, with
    self-motivation and drive.














 Required Skills



  • Excellent analytic
    and problem-solving skills.
  • Data visualization and
    storytelling.
  • Experience of
    reporting through Power BI.
  • DAX knowledge
    preferable but not essential.
  • Understanding of Power
    Query preferable but not essential.
  • Basic SQL knowledge
    desired but not essential.
  • Microsoft Excel.
  • Strong communication
    and people skills.
  • Strong attention to
    detail.
  • Ability to work
    independently and in a team environment.

About JW Lees:

Proudly family owned and nearly 200 years old, JW Lees are the original modern, traditional brewer. With 150 pubs, inns and hotels across the North West and North Wales, we are passionate about great beer, fantastic food and memorable experiences.

We put people at the heart of our business, always doing the right thing and always sticking together. Our six values are at the heart of everything we do:

Proud  -  Savvy  -  Honest  -  Passionate  -  Personal  -  Together

































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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.