Senior Data Analyst

Tenth Revolution Group
Ashford
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst (12 Month Contract)

Senior Data Analyst

Senior Data Analyst - HOTH, Permanent

Job Description

Senior Data Analyst

I am working with an award-winning UK based service provider who are looking for a Senior Data Analyst as they expand their technology and data teams. Working closely with a team of Analysts and Engineers, you will be responsible for creating insightful visualizations that can enable the business to make informed decisions.

The business is investing heavily in its future, including the acquisition of other businesses which will allow them to expand their operations into Central Europe. The business is also investing in its tech stack, which includes the adoption of Microsoft Fabric and has a healthy pipeline of projects. You will also be given the opportunity to progress further in this role with the overall goal for this position to move into a Data Lead position if you are successful.

Responsibilities:

  1. Design and develop insightful dashboards and reports using Power BI.
  2. Mentor junior members of the team, help them develop technical skills and offer guidance when necessary.
  3. Build relationships with non-technical business stakeholders to identify needs, delivering bespoke solutions that enable them to make improvements and drive decision-making.
  4. Present insights to senior stakeholders and cultivate a culture for data best practice across the team.


To be successful in this role you will have:

  1. Strong reporting experience using Power BI.
  2. SQL experience for data extraction and manipulation.
  3. Experience with Python/R would be beneficial.
  4. Exposure to MS Fabric is a bonus.


This is largely a remote role where you would meet with the team once per month in order to share best practices and encourage collaboration. The salary for the role is up to £60,000 depending on experience, including a company benefits package.

This is just a brief overview of the role. For the full information, simply apply to the role with your CV, and I will call you to discuss further. My client is looking to begin the interview processASAP, so don't miss out,APPLYnow!#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.

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.

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.