Business Data Analyst

Stanton House
Stevenage
2 months ago
Applications closed

Related Jobs

View all jobs

Business Data Analyst

Business / Data Analyst

Business Data Analyst

Business Data Analyst

Business Data Analyst

Business Data Analyst Salesforce & Excel/VBA

Role: Data Business Analyst


Contract: 3-month contract (with strong potential to transition into a permanent role)

Rate: Up to £500 per day

Location: Stevenage (Hybrid) (2-3 Days in Office)


Overview

This role plays a key part in a strategic data transformation supporting a wider ERP programme and long-term data ambitions. Reporting to the CFO and working closely with the Head of IT, the Data Business Analyst will support the re-platforming of the organisation’s data environment onto Microsoft Fabric, ensuring ERP-ready, reliable data and modern reporting across sales, stock, member/customer and operational domains.

You will be embedded in an in-depth discovery phase, working hands-on with source systems and existing reports to understand current data flows and define future-state requirements.


Key Responsibilities

  • Support the re-platforming of the data environment onto Microsoft Fabric, laying the foundations for ERP-ready data and future analytics.
  • Lead deep-dive discovery for reporting and analytics, mapping current (“as-is”) reports and data flows and defining future (“to-be”) requirements.
  • Act as the primary bridge between business stakeholders, internal IT/development teams and an external implementation partner.
  • Translate commercial and operational reporting needs into clear, structured and testable requirements.
  • Trace and reconcile data from source systems through to reports, validating accuracy and consistency.
  • Maintain strong analysis governance, including requirements logs, data dictionaries, reporting inventories and documentation.
  • Collaborate with finance, merchandising, insights/CRM, operations and IT stakeholders to shape reporting and data solutions.
  • Support the design of robust data structures and reporting layers within Microsoft Fabric.
  • Communicate progress, risks and issues clearly to senior stakeholders and end users.


About the Environment

  • Fast-paced retail/consumer environment where stock, trading performance and customer insight are critical.
  • Opportunity to shape a greenfield data platform.
  • High visibility and direct engagement with senior stakeholders.
  • Initial 3-month contract focused on discovery, with scope to extend into migration, ERP-ready data and longer-term initiatives on a permanent basis.


Skills & Experience

  • Proven experience as a Data Business Analyst working across data platforms, reporting and analytics.
  • Strong background in data-led transformation projects, particularly discovery and requirements definition.
  • Ability to work across current-state and future-state reporting, data flows and source-to-report analysis.
  • Excellent stakeholder management and communication skills across business, IT and third-party partners.
  • Organised, detail-driven and comfortable managing multiple priorities.
  • Hands-on mindset with the ability to balance strategic thinking and detailed data analysis.
  • Experience with modern data platforms (Microsoft Fabric advantageous but not essential).
  • Comfortable working hybrid, with regular on-site presence in Stevenage.

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.