Data Analyst & Systems Implementation Owner

Evolve IT Recruitment Ltd
Edinburgh
1 month ago
Applications closed

Related Jobs

View all jobs

Data Analyst and Systems Implementation Owner

Fraud Data Scientist

Fraud Data Scientist

Data Engineer

Senior Consultant Data Analyst

Finance Systems & Data Analyst

Data Analyst & Systems Implementation Owner

Direct message the job poster from Evolve IT Recruitment Ltd


Recruitment Expert | Technology & Digital | Scotland Recruitment


Location: Edinburgh
Type: Permanent, Full-time or Part-time (minimum 4 days/week)


About the Opportunity: A prestigious, top-ranked independent law firm is seeking an ambitious Data Analyst & Systems Implementation Owner to join its Business Support team. This is a fantastic opportunity to take ownership of varied projects, support Finance, HR, and Compliance teams, and further develop your data analysis and system implementation skills.


You’ll be the technical expert for data extraction and reporting, working closely with colleagues across all levels and offices. The role is based in Edinburgh, requires regular onsite time, with some hybrid working and occasional travel to London.


Key Responsibilities

  • Deliver high-quality data extraction, report building, and analysis to support Finance, HR, and Compliance.
  • Act as a technical expert for core systems, providing support and guidance across the firm.
  • Develop and oversee data strategies to optimise management information and support business objectives.
  • Deliver training and technical support to nurture talent and maximise the potential of colleagues.
  • Identify opportunities to enhance reporting and implement technology solutions within budget.
  • Provide technical insight and analysis of core systems, supporting change management and process documentation.
  • Collaborate with stakeholders to design, configure, and customise new and existing solutions.
  • Ensure high standards of confidentiality, accountability, and integrity in all business support activities.
  • Train users and deliver presentations or demos as needed.

Skills & Experience

  • Creative, experimental approach to problem-solving and ability to manage multiple demands.
  • Strong communication and influencing skills at all levels.
  • Self-starter with the ability to generate ideas and business cases.
  • Broad understanding of financial, compliance, and HR systems.
  • Recent experience with M365 and Power Platforms; Power BI experience is a distinct advantage.
  • Significant experience with financial reporting systems, controls, and processes (Elite 3E and Xero experience beneficial but not essential).
  • Practical experience with SQL, SFTP, and APIs advantageous.
  • Basic project management skills and ability to interpret stakeholder needs.
  • Ability to work independently, prioritise, and deliver on time.
  • Strong skills in interpreting and presenting financial data in a business context.
  • Competitive salary and discretionary bonus scheme.
  • 5% employer pension contribution (increasing with service).
  • Life assurance, income protection, and private medical insurance options.
  • Enhanced parental leave pay.
  • Cycle to Work scheme.
  • Flexible, hybrid working options.

How to Apply

If you have the right experience and are excited to contribute to a high-performing team, please send your CV and a covering letter. In your application, tell us why you’re interested, how your experience matches the requirements, and what value you would bring.


We welcome applications from people of all backgrounds and are committed to diversity and inclusion. Reasonable adjustments are available to support candidates through the application and interview process.


All offers are subject to eligibility to work in the UK and satisfactory pre-employment screening.


#J-18808-Ljbffr

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 Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Are you considering a career change into machine learning in your 30s, 40s or 50s? You’re not alone. In the UK, organisations across industries such as finance, healthcare, retail, government & technology are investing in machine learning to improve decisions, automate processes & unlock new insights. But with all the hype, it can be hard to tell which roles are real job opportunities and which are just buzzwords. This article gives you a practical, UK-focused reality check: which machine learning roles truly exist, what skills employers really hire for, how long retraining realistically takes, how to position your experience and whether age matters in your favour or not. Whether you come from analytics, engineering, operations, research, compliance or business strategy, there is a credible route into machine learning if you approach it strategically.

How to Write a Machine Learning Job Ad That Attracts the Right People

Machine learning now sits at the heart of many UK organisations, powering everything from recommendation engines and fraud detection to forecasting, automation and decision support. As adoption grows, so does demand for skilled machine learning professionals. Yet many employers struggle to attract the right candidates. Machine learning job adverts often generate high volumes of applications, but few applicants have the blend of modelling skill, engineering awareness and real-world experience the role actually requires. Meanwhile, strong machine learning engineers and scientists quietly avoid adverts that feel vague, inflated or confused. In most cases, the issue is not the talent market — it is the job advert itself. Machine learning professionals are analytical, technically rigorous and highly selective. A poorly written job ad signals unclear expectations and low ML maturity. A well-written one signals credibility, focus and a serious approach to applied machine learning. This guide explains how to write a machine learning job ad that attracts the right people, improves applicant quality and strengthens your employer brand.

Maths for Machine Learning Jobs: The Only Topics You Actually Need (& How to Learn Them)

Machine learning job adverts in the UK love vague phrases like “strong maths” or “solid fundamentals”. That can make the whole field feel gatekept especially if you are a career changer or a student who has not touched maths since A level. Here is the practical truth. For most roles on MachineLearningJobs.co.uk such as Machine Learning Engineer, Applied Scientist, Data Scientist, NLP Engineer, Computer Vision Engineer or MLOps Engineer with modelling responsibilities the maths you actually use is concentrated in four areas: Linear algebra essentials (vectors, matrices, projections, PCA intuition) Probability & statistics (uncertainty, metrics, sampling, base rates) Calculus essentials (derivatives, chain rule, gradients, backprop intuition) Basic optimisation (loss functions, gradient descent, regularisation, tuning) If you can do those four things well you can build models, debug training, evaluate properly, explain trade-offs & sound credible in interviews. This guide gives you a clear scope plus a six-week learning plan, portfolio projects & resources so you can learn with momentum rather than drowning in theory.