Supporter Insight Analyst

The Children's Society
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst Level 4 Apprentice

Data Analyst Level 4 Apprentice

Portfolio Revenue & Debt Data Analyst

Data Engineer (18 Months FTC)

Data Engineer (18 Months FTC)

Data Engineer

Supporter Insight Analyst

Fixed term contract until Feb 2026 (12 months dependent on start date)

35 hours per week

£34,837.08 per annum (national weighting +travel into London office paid for) / £37,646.16 per annum (London weighting)

Location: Home based, with occasional travel into our London office

The Children's Society (TCS) has been helping children and young people for over 140 years. Everything we do is to create positive change in young people's lives. Our annual Good Childhood Report has shown that children and young people's wellbeing is declining. It's our organisational goal to reverse this decline by 2030.

The Audience Insight team is a key function to help us on this journey. We help the organisation to understand opportunities to grow support, deepen engagement with existing supporters and optimise our communications and fundraising products. We have an exciting opportunity in our team: we are looking someone exceptional to join as our supporter insight analyst for 12 months, while the permanent post holder goes on maternity leave. In this role, you will be responsible for generating actionable insight into supporter engagement to help us optimise our activities and communications; ensuring that we are talking to our supporters about the things that they're interested in, in the right media and with the right frequency and evaluating responses in order to continually improve and deepen our supporter engagement.

You will become an insight partner for colleagues across the social impact domain and will help to upskill colleagues to become confident data users to help create an insight culture at TCS.

To succeed in this role, you will have previous experience in an analyst role and be highly technical with strong SQL skills. You will have the curiosity and capability to use the wealth of data TCS has access to, to help us deepen engagement with existing and new supporter audiences. You must be go-getting and proactive, with strong communication and problem-solving skills.

You will be inquisitive and curious; always interrogating briefs to ensure we are asking the right questions of the data; and using your knowledge of data to go beyond the brief and add extra value.

This role sits within our Enabling Domain and reports into the Senior Supporter Insight Analyst. Our focus is on elevating young people's voices; challenging public perceptions of the challenges young people face; and attracting, retaining, and mobilising support through voice, time, and money. 

Essential Skills

-Minimum of 3 years' experience as a data analyst in a commercial or not for profit organisation

-Advanced excel user

-Proficient in using data to effectively tell stories to stakeholders, through clear and informative data visualisations in PowerBi or other dashboard software such as Tableau, as well as through PowerPoint.

-Strong communication skills and the ability to explain complex data findings to non-technical stakeholders and influence their decision making.

-Ability to build and maintain stakeholder relationships

-Ability to work autonomously and prioritise project and personal workload

Desirable Skills

-Knowledge and experience of the charity sector and/or fundraising data

-Experience of an additional programming language.

What we offer you in return:

-Opportunity to develop your skills as a data analyst and acquire/deepen your knowledge of fundraising data

-The chance to work in a small, supportive, team on projects with a big impact

-Space to bring creative ideas and approaches to how we use our data to influence supporter engagement

-Flexible and remote working from anywhere within the UK

-Enhanced Annual Leave: 28 days

The closing date for applications is at midnight on Thursday 28th November 2024.

We are hoping to hold interviews week commencing 9th December.

The Children's Society is committed to safeguarding and protecting the children and young people that we work with. As such, all posts are subject to a safer recruitment process, including the disclosure of criminal records and vetting checks. We ensure that we have a range of policies and procedures in place which promote safeguarding and safer working practices across our services.

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.