Senior Data Analyst

Morgan Hunt Group Limited
Edinburgh
4 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst - Marketing

Senior Data Analyst

Morgan Hunt are working with a housing association based in Edinburgh to recruit a data analyst on an FTC (2 years).


Key responsibilities:

  • Develop data management solutions and reports using Microsoft Azure, Power BI, and Power Platform.
  • Provide third-line support for data services.
  • Manage incidents, requests, problems, changes, and assets in the Digital & Data team.
  • Develop and maintain best practices for data management from source to visualisation (data prep, integration, modelling, testing, reporting, analytics).
  • Document deployed data solutions (process flows, security, error handling, etc.)
  • Maintain and support existing data management solutions.
  • Deliver training to business users on published data models and reports.

Experience required:

  • Degree in data or related subject OR equivalent operational experience.
  • Strong background in data engineering, warehousing, and data quality.
  • Proficiency in Microsoft 365, Power BI, and other BI tools (e.g., Tableau, SSRS).
  • Experience with SQL Server, Python, Microsoft DevOps, ETL processes, and analytics dashboards.
  • Familiarity with Azure Databricks and Delta Lake is desirable.
  • Ability to work autonomously in a dynamic environment and contribute to team performance.
  • Strong communication, influencing skills, and a positive, can-do attitude.
  • Knowledge of the Housing sector and its regulatory environment is a plus.

35k - 42k per year

2 year FTC

Edinburgh office (1/2 times per month)




Please get in touch for further information

Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual's skills, qualifications and abilities to perform the relevant duties required in a particular role.

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.

Careers

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.

Jobs

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.

Careers Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.