National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Analyst

SF Technology Solutions
Glasgow
3 days ago
Create job alert

An ambitious, PE-backed B2B business is seeking a commercially focused Data Analyst to turn insight into impact. With strong backing and a goal to double revenue over the next three years, this business is investing in data to underpin smarter pricing, sharper sales strategies, and better operational decisions.


You’ll work closely with senior leaders across Sales, Finance, and Operations to surface insight that directly influences how the business grows and scales.


Key responsibilities:

Build and maintain Power BI dashboards to provide visibility of commercial performance.


Use SQL to extract and manipulate data from Dynamics 365 / Business Central.


Analyse sales, margin, pricing, and inventory to support strategic decision-making.


Translate complex data into clear, actionable recommendations for leadership.


Influence change by embedding a data-led approach across departments.


What we’re looking for:


Strong technical foundation in Power BI, SQL, and Excel.


Ability to translate data into commercially meaningful insight.


Confident working across departments and engaging senior stakeholders.


Background in B2B, wholesale, supply chain, or product-led businesses preferred.


Experience with pricing, margin, or sales optimisation is highly valued.


This is a visible, high-impact role for someone who wants to operate at the commercial core of a growing business. You’ll have the autonomy to shape how data is used and the backing to make it count.

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst | Cambridge | Fintech

Senior Data Analyst

National AI Awards 2025

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.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.