Commercial Data Analyst

Hays
London
1 year ago
Applications closed

Related Jobs

View all jobs

Commercial Data Analyst

Business Data Analyst Salesforce & Excel/VBA

Data Analyst

Power BI Data Analyst

Power BI Data Analyst

Data Analyst – Asset Optimisation

Commercial Data Analyst - Luxury Design & Lifestyle Company - up to £50,000 + Benefits - (West London)


Please note, we require direct UK industry experience for this position & sponsorship is not available.


Your new company


Hays have exclusively partnered with a prestigious company who enable hospitality brands to deliver exceptional customer experience through intelligent design. The quality and integrity of their supply and manufacturing is key to their success. They are known for their impeccable craftsmanship and innovative designs that set the standard in the industry.


Your new role


You will be responsible for leveraging data to provide critical insights into business operations and go-to-market strategies, revenue generation, commercial opportunities, and overheads. You will work closely with senior leadership to challenge existing business strategies, identify areas for improvement, and offer actionable recommendations to enhance overall business performance. Your work will be pivotal to shaping the strategic direction of the business, ensuring that decision-making is informed by accurate, relevant, and timely data.


  • Data Analysis & Insights: Analyse complex datasets to provide insights into key business areas, including revenue, operations, commercial opportunities, and cost management.
  • Decision Making: Work closely with marketing & commercial managers and other team members in providing data-backed recommendations to support effective decision making.
  • Use Power BI to analyse and review reports on commercial data, such as sales trends, and create and provide proactive recommendations.
  • Go-to-Market Strategy Support: Collaborate with the sales and marketing teams to analyse the effectiveness of go-to-market strategies, identifying trends, gaps, and areas for improvement.
  • Operational Efficiency: Analyse operational data to uncover inefficiencies, monitor performance metrics, and propose solutions to improve productivity and reduce overheads.
  • Strategic Insight: Provide data-driven recommendations to senior management regarding strategic direction, helping to shape long-term business plans and objectives.
  • Stakeholder Engagement: Work closely with cross-functional teams (e.g., finance, marketing, operations) to gather relevant data and ensure alignment with business goals.
  • Data Visualisation & Reporting: Develop and present clear, actionable reports and dashboards to stakeholders, translating complex data into understandable insights.
  • Continuous Improvement: Stay abreast of industry trends and emerging data analysis techniques to continuously improve processes and contribute to business growth


What you'll need to succeed


  • 3-5 years of experience in a similar data analytics role, preferred degree in business or an analytical field
  • Strong experience with using Power BI & SQL & Excel
  • Highly collaborative and able to work across all functions to achieve sales and business goals
  • Proactive time management & dedication to improving systems experiences with high attention to detail
  • High standard of verbal and written communication skills


What you'll get in return


You will be working on a hybrid working model of 3 days in the office and 2 days from home a week, that allows working hour flexibility. You will also receive a fantastic work life balance and a fantastic collaborative team culture! Most importantly, you will get the opportunity to work with a team of super happy, enthusiastic, and excited individuals who are always full of new ideas which keep things moving quickly. You will also receive a competitive salary of up to £50,000, and a great benefit package including an annual bonus scheme (up to 10% that paid out every year), pension, discount scheme, healthcare cash plan, life assurance, buy and sell holidays, birthday day off, and 23 days annual holiday excluding bank holidays.


What you need to do now


If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.


If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career.

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.