Senior Data Analyst

UK Home Office
Manchester
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

Overview

Join to apply for the Senior Data Analyst role at UK Home Office.

At Home Office Digital, we design and deliver services that support millions; from visa and passport applications to border security and police checks. As a Senior Data Analyst in our ServiceNow DevOps team, you’ll harness the power of data to drive innovation and improve outcomes across government.

We are recruiting for two positions; one role will be in the Service Now Team. You’ll be part of the exploration of complex datasets, applying advanced analytical tools and techniques to uncover insights that support Home Office stakeholders. With ServiceNow as your primary platform, you’ll build dynamic dashboards and visualisations, integrating data from across systems to deliver joined-up, intelligent services.

The other role will be within the End User Compute and Collaboration (EUC&C) Team, which develops and delivers a range of Microsoft 365 solutions, including Teams, SharePoint, OneDrive, Power Platform, and Office applications. The data team specifically will help to foster AI and automation within the teams driven by product insights, derived through integrations via multiple data sources helping to visualise key metrics linked to Product health and customer experience using a range of tools such as PowerBi and AWS QuickSight.

Main responsibilities

  • To manage, clean, abstract and aggregate data alongside a range of analytical studies on that data.
  • Identifying, collecting and migrating complex data to/from a range of systems, and delegating to their team where required.
  • Summarising and presenting the results of data analysis to a range of senior customers, making recommendations.
  • Use a range of analytical techniques such as data mining, time series, forecasting and modelling techniques to identify and predict trends in a variety of complex data types.
  • Work with stakeholders to gather requirements and deliver findings, with oversight from Lead Data Analysts.
  • Building capability and continually developing programming and analysis skills of self and others through line managing Data Analysts.

As a Senior Data Analyst you’ll have a demonstrable passion for Data Analysis, with the following skills or some experience in:

  • Help teams apply a range of techniques (e.g. network analysis, data matching, information retrieval, text analytics) to analyse data and to provide insight.
  • Understanding data sources, data organisations and storage.
  • Grasping conceptual, logical and physical data modelling, as well as development aspects.
  • Knowledge of data cleansing and standardisation by presenting analysis and visualisations in a clear way to communicate complex messages that inform decisions to technical and non-technical audiences.
  • Leading a team to develop and deliver analytics products · identifying the business value for innovation within an organisation.
  • Proficient in SQL and Python, ServiceNow.

Qualifications and benefits

  • A civil service pension with employer contribution rates of at least 28.97%.
  • In-year reward scheme for one-off or sustained exceptional personal or team achievements.
  • The ability to potentially adopt flexible working options that suit your work/life balance, plus the opportunity in future to take a career break.
  • 25 days annual leave on appointment, rising with service.
  • Eight days public holidays, plus one additional privilege day.
  • 26 weeks maternity, adoption or shared parental leave at full pay, followed by 13 weeks statutory pay and a further 13 weeks’ unpaid, after qualifying service.
  • Maternity and adoption support leave (also known as paternity leave) of two weeks full pay, after qualifying service.
  • Paid leave for fostering approval processes, support when a child is substantively placed with you plus a foster to adopt policy.
  • Support for guardians and kinship carers.
  • Corporate membership of ‘Employers for Carers’ providing additional information and advice for carers, plus a ‘Carer’s Passport’ to discuss workplace needs and underpin supportive conversations.
  • Time off to deal with emergencies and certain other unplanned special circumstances.

Location and schedule

Location: Manchester (hybrid with 60% office attendance)

Salary: £46,062 plus up to £7,300 recruitment and retention allowance

Advert Close: Tuesday 20th January at 11:55pm

Please click on apply now to be redirected to the full job advert and application portal

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Information Technology

Industries

  • Government Administration


#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.

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.