Business Data Analyst

Borehamwood
3 months ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst

Business / Data Analyst

Business Data Analyst

Business Data Analyst

Business Data Analyst

Permanent Business Data Analyst - The City, London

Are you passionate about data and ready to make a real impact? Our client is seeking a Business Data Analyst to join their innovative team. Specialising in financial services, the company has recently received huge investment and is on a growth trajectory. If you're ready to drive decision-making through data, this role is for you!

With a salary up to £55,000, this Business Data Analyst role offers you the chance to work with cutting-edge AI technologies and Microsoft tools. You'll be part of a dynamic team focused on innovation and excellence in the finance sector.

As a Business Data Analyst, you'll be responsible for:

Leading the design, development, and maintenance of Power BI reports and dashboards.
Collaborating with tech teams to integrate data sources from the company platform and Microsoft ecosystem.
Preparing data sets for AI interrogation to enhance reporting and user interaction.
Conducting business analysis to identify reporting improvements and process automation opportunities.
Designing and maintaining automated workflows using Power Automate.
Supporting users with Power BI and Excel to enable self-service capabilities.Package and Benefits:

The Business Data Analyst role comes with a comprehensive package, including:

Annual salary up to circa £55,000.
Opportunities to work with the latest AI and Microsoft technologies.
A collaborative and innovative work environment focused on professional growth.About You

The ideal Business Data Analyst will have:

Expertise in authoring Power BI reports and Power Query.
Proficiency in Microsoft Office applications, including Outlook, Word, Excel, and Teams.
Experience with Power Automate for workflow integration.
Familiarity with data governance and management practices.
A proactive approach to problem-solving and a curiosity about AI.
Strong collaboration skills and comfort engaging stakeholders at all levels.If you're a data enthusiast with experience as a Data Analyst, Business Analyst, Business Intelligence Analyst, Data Visualisation Specialist, Reporting Analyst, or BI Developer, this Business Data Analyst role could be your next exciting opportunity.

Join our client as a Business Data Analyst and be part of a team that values innovation, transparency, and agility. If you're ready to drive data-driven decision-making and enhance reporting capabilities, get in touch - reach out to Charlotte Walker at Fintelligent for further information or share your CV 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.

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.