Grants Data Analyst and Administrator

City of London
1 year ago
Applications closed

Related Jobs

View all jobs

Healthcare Data Analyst — Power BI & Quality Improvement (Hybrid)

FIRE SERVICES DATA ANALYST - FIRE

FIRE SERVICES DATA ANALYST - FIRE

IT Controls Data Analyst

Data Scientist

Data Analyst

Grants Data Analyst and Administrator

We are working with a property and investment based charity in central London that is seeking an experienced data administrator to support their philanthropy team processing, analysing and reporting on their Grant activity. This is a diverse role where you will be involved with data analytics and reporting on the impact that grants have made. Traditionally their grants / donations are focussed around housing, the elderly, education, churches and community and you’ll be key to ensuring they have maximum positive impact.

On a day-to-day basis you’ll be involved with:

  • Grant data management through the full grant cycle

  • Logging and processing grant applications

  • Reviewing banking information

  • Preparing data and reports for committee meetings, presentations and internal stakeholders

  • Reporting on the impact grants have made to grantees

  • Assisting with the logistics and administration around events

  • Ensuring the charity’s website content is up to date

  • Providing administrative and logistical support to the Operations and Impact Manager and wider team

    The ideal candidate will have worked in a similar role, have worked in the not for profit sector and strong data analysis and administration skills. It’s essential that you have advanced MS Office skills, CRM experience, along excellent organisational skills and the ability to work to deadlines.

    This is a permanent role offering a salary up to £35,000 per annum, dependent on skills and experience. With this there is a very competitive benefits scheme that includes a generous holiday allowance (30 days per annum) and a free lunch every day. Please note you will be required in the office full-time, which is within walking distance of Liverpool Street, Moorgate, Bank and Cannon Street stations.

    If the role is of interest please submit your CV ASAP. Please note that we consider every CV submitted to us, however due to the high volume of applications and time constraints we are only able to get back to those applications that are successful

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.