Senior Analyst

Fleet
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Analyst & Data Specialist

Campaign Data Analyst (PEGA, Adobe or Unica)

Entry Level Data Analyst

Entry Level Data Analyst

Entry Level Data Analyst

Entry Level Data Analyst

Senior Analyst
We are looking for a Senior Analyst to join the team in this hybrid-working role.
At the heart of Compassion UK’s ministry, is a relentless passion to act on faith and empower every child left vulnerable by poverty.
Position: Senior Analyst
Location: Fleet (with hybrid working as a benefit, 40% of hours are from Compassion House in Fleet, Hampshire and the office is closed on Fridays)
Hours: Full Time, 35 hours per week
Salary: £47,500 per annum
Contract: Permanent
Closing Date: March 25, 2025. We are expecting a high volume of interest and may need to close applications without notice. Please apply as soon as you can.
About the Role
As a Senior Analyst, you’ll take a lead in using data to better understand our supporters by applying advanced data analysis techniques. Using data to make better decisions is a key way in which we seek to be good stewards of our finances. The analysis you provide will help to guide strategy at all levels of the organisation.
You will cover a breadth of projects that will include digital analytics, building decision making tools and providing insight to all areas of the organisation. Crucially you’ll help us to develop best practices around test and learn activities. You’ll also contribute significantly to the creation of best practices within the team and the future direction of our data strategy.
Key responsibilities include:
• Respect, uphold and work within CUK’s Christian Ethos, culture and Values; Statement of Faith, Core Values, Ethos Statement
• Use data to create insights into our neighbour groups that the organisation can act on
• Develop our digital analytics capabilities
• Develop data-driven decision-making tools
• Work with the Analytics team to enhance our data analytics and reporting capabilities
• Use data to champion supporters as partners in a global movement of compassion for children in poverty so that they feel known, loved, protected and ignited to action
About You
You will have strong communication skills, both in terms of clarity and adaptability and the ability to share information effectively to different groups. This will be measured as part of the recruitment process at the next stage, where you will be asked to complete a data task, which you need to present to the panel to assess.
You will have the following skills:
• Strong knowledge of data analysis techniques
• Confidence in using SQL to work with data
• Confident and proactive in completing projects
• Eager to develop our data analytics capability
It would be beneficial to possess:
• Data & Analytics Tools: Experience with KNIME, Google Analytics, and CRM solutions.
• Programming & Data Science: Proficiency in R or Python, with knowledge of supervised and unsupervised learning techniques.
• Data Visualisation: Expertise in Power BI and strong understanding of data visualisation best practices.
You will be deeply connected to Compassion’s ministry to children. It is important that you share
Compassions heart to reach out in Jesus’ name to children suffering the injustice of poverty
and are eager to support in achieving our mission. We would expect you to be dedicated to
working in a manner that prioritises child protection, especially by promptly raising any
concerns related to child safety.
In return, benefits include:
• Flexible and sociable workplace, hot-desking (sit where you want, when you want), casual dress code, and celebrations for life milestones (birthdays, newcomers, weddings, babies, etc.).
• Free parking, access to Compassion House gym with shower facilities, fully equipped kitchen with lunch and breakout areas, and Tea & Treat Wednesdays.
• Private medical & dental cover, income protection, group life cover, pension scheme with 10% employer contribution, and an electric car scheme.
• Time in lieu, weekly team prayers and devotionals, and Compassion updates & worship events.
• Opportunities for growth, mentorship, and ongoing learning to support your professional and personal development.
You may also have experience in roles such as Analyst, Senior Analyst, Junior Analyst, Lead Analyst, Partner Analyst, Data Analyst, Senior Data Analyst, Junior Data Analyst, Lead Data Analyst, Partner Data Analyst.
PLEASE NOTE: This role is being advertised by NFP People on behalf of the organisation

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.