Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst & Continuous Improvement Lead

Eden Scott
Edinburgh
4 days ago
Create job alert
Base pay range

Salary up to £56k base

Direct message the job poster from Eden Scott

Technology Recruitment - Software, Cloud, AI, ML - Eden Scott

Full-time, Permanent

Hybrid - 2 days office, Edinburgh City Centre

The Company

This position is with a large, asset-backed public sector pensions organisation serving tens of thousands of members across multiple employers. With billions in managed assets and a strong funding position, the organisation plays a vital role in supporting long-term financial wellbeing for its members

It’s a growing, vibrant workplace that values flexibility, professional development, and community. Employees benefit from a blended working model, combining remote work with a modern city centre office, and enjoy a wide range of wellbeing and social initiatives.

The Job

This is a mixed role with a strong technical element combined with a need for someone with a keen eye for improving processes & bringing other along for that journey.

Looking for an experienced technical data analyst with strengths in building dashboards, data visualisation, & bringing data; as well as generating insights from the data itself.

The ideal candidate will also have some experience of improving processes & enjoy the stakeholder engagement & team collaboration aspects of continuous improvement

  • Translate complex data into clear, compelling visualisations for stakeholders
  • Monitor trends and identify anomalies
  • Build and refine forecast models for staff workload and service demand
  • Apply continuous improvement methodologies to streamline processes
  • Mentor & train operational staff to improve data-literacy & efficiency

The Skills / Experience Required

  • SQL & Excel
  • Tableau is advantageous but not required. Similar / alternate tools are interesting too (Power BI, QlikView etc).
  • Knowledge of Lean / Continuous Improvement methodologies. Eg, Lean Six Sigma, Kaizen, TQM, TOC, BPR (don’t require any specific one of these).
  • Statistical modelling & forecasting ability

Please apply with CV to be considered. More details will be provided during first conversation.

Our client is an equal opportunities employer & values the unique perspective a diverse workforce brings to what they do.

This job description should be seen as a guideline to the skillset & qualifications required. Your experience does not have to fit perfectly with every requirement (successful candidates' are rarely a perfect match for every requirement). Please do still apply if you feel some of your experience could be relevant.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Analyst and Continuous Improvement Lead

Data Analyst - Sales Operations

Lead Data Analyst

Lead Data Analyst

Data Analyst

Data Analyst

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.

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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.