National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Marketing Data Analyst

Funding Circle
London
1 week ago
Create job alert

Description

Senior Marketing Data AnalystWe are looking for a Senior Marketing Data Analyst in our Data team.As a Senior Marketing Data Analyst, you will be expected to develop in depth knowledge of Funding Circle’s Marketing activities and products. You will be an expert in marketing analytics and, in addition to performing analytical work you will support analytical initiatives and the development of a data driven maturity within Funding Circle.Who are we?We’re Funding Circle. We back small businesses to succeed. At Funding Circle, we believe the world needs small businesses. That’s why we’ve made it our mission to help them get the finance they need to grow. With more than a decade of expertise under our belt, we’ve built a game-changer of a platform with cutting-edge data and technology that’s reshaping the landscape of SME lending. Say goodbye to lengthy applications and hello to lightning-fast decisions! In just minutes, SMEs across the UK can get a decision, giving them access to competitive funding in a flash. We know that good business is about good people. So we pride ourselves on providing meaningful, human support as well as fast, hassle free processes to deliver an unbeatable customer experience. The role Design and execute experiments to test marketing hypotheses: Design, develop, and implement a range of experiments which will test and validate hypotheses across channels, segments and audiences which will derive actionable insights and decision making.Develop predictive models: develop, test and implement predictive models to inform business decisions, such as customer segmentation, retention models and customer lifetime value.Communicate results and engage with stakeholders: Effectively communicate complex technical concepts and findings to both technical and non-technical stakeholders. Present insights and recommendations in a clear and concise manner to drive informed decision-making.Analysing datasets: Utilise analytical techniques to identify trends and patterns in our data to unlock opportunities and meaningful insight.Mentorship and knowledge sharing: Actively participate in knowledge sharing within the Analytics excellence team, the wider data team and business teams. Providing mentorship to junior team members and contributing to a collaborative and learning-oriented environment.Continuous learning: Keep up-to-date with advancements and trends in data science and marketing analytics to ensure we employ the most optimal techniques, tools and methodologies. Leverage the full potential of our marketing performance and insights that can be gained from our data.What we’re looking for Marketing background: experience in working with marketing data. An understanding of marketing channels and what makes a successful campaign. The ability to identify trends in marketing activity, channels and audiences. Be familiar with marketing metrics and understand measures of performance. Experience in research, market trends and external influences on marketing performance.Data curiosity and problem solving skills: The ability and willingness to explore, understand and explain complex datasets and identify opportunities for automation and process improvements. Strong analytical and problem-solving skills to address real-world business challenges. Practical and outcome driven mindset.Proficiency in statistical modelling: Demonstrated experience in developing and deploying statistical models, with a strong understanding of various, including supervised and unsupervised learning methods. Additional knowledge of GenAI and LLMs is an advantage.Software development skills: Strong programming experience, ideally in Python. Ability and willingness to work alongside analytics engineers, data analytics/scientists on the development of analytics, insight and marketing model development. Data manipulation, cleaning and analysis : Proficient in data manipulation and analysis using tools like Pandas, NumPy, and SQL. Ability to work with large-scale datasets and extract meaningful insights. Experience in data processing to enable accurate analytics as well as effective model creation.. Ability to handle data quality issues and outliers effectively. Solid understanding of statistical concepts and techniques for modelling.Collaborative team player: Strong interpersonal and communication skills and the ability to work collaboratively in cross-functional teams, both non-technical (domain experts) and highly technical (software, data and platform engineers). Practical mindset with a focus on team outcomes as well as being a self starter able to proactively drive forward initiatives.Continuous learning and adaptability: Commitment to staying updated on the latest developments in data science and machine learning. Ability to work in a fast paced, high innovation environment.At Funding Circle we are committed to building diverse teams so please apply even if your past experience doesn’t align perfectly with the requirements. Want to learn more? We have a huge impact on the businesses that borrow through our platform, the communities they serve and the overall economy (last year £7.2bn of GDP generated). You can read our full Impact Report here:To see what our customers think, visit our Trustpilot page: And we’re still evolving! Our award-winning multi-product platform is solving more SME finance challenges than ever before. We think big, rally together and meet the needs of SME customers like no other.Why join us?At Funding Circle, we celebrate and support the differences that make you, you. We’re proud to be an equal-opportunity workplace and affirmative-action employer. We truly believe that diversity makes us better.As a flexible-first employer we offer hybrid working at Funding Circle, and we've long believed in a 'best of both' approach to in-office collaboration and non-office days. We expect our teams to be in our London office two times a week, where you can take advantage of our newly refurbished hybrid working space, barista made coffee and subsidised lunches (via JustEat) every day!We back our Circlers to build their own incredible career, making a difference to small businesses every day. Our Circler proposition is designed to support employees both in and out of work, and it is anchored around four pillars: Health, Wealth, Development & Lifestyle. A few highlights:Flexibility: We provide you with a benefit allowance so that you can tailor your benefit selection to you and your family’s needs.Health:Private Medical Insurance, Dental Insurance, Health Cash Plan, Health Assessments (including female fertility health assessments), eyecare vouchers, flu jabs, Wellhub (for discounted flexible gym membership and access to wellbeing apps) access to a free Employee Assistance Programme and free Digital GP for yourself and any children under 16.Wealth:Life Assurance, Income Protection, Critical Illness Cover, financial coaching through Octopus Money Coach, a tax-advantaged share scheme, a free mortgage advisor partnership and discounts across numerous retailers through Perks at Work. Development: Dedicated annual Learning & Development allowance and full access to internal learning platform.Lifestyle:Electric Car Scheme, Cycle to Work scheme, Season Ticket Loans, and more! And finally, we have award winning parental leave policies supporting parents through enhanced maternity, partner and adoption leave, as well as additional leave for parental bereavement and for fertility treatments.Ready to make a difference? We’d love to hear from you.

Related Jobs

View all jobs

Senior Marketing Data Analyst

Senior Marketing Data Analyst

Senior Marketing Data Analyst

Senior Marketing Data Analyst

Senior Marketing Data Analyst

Senior Marketing Data Analytics Analyst (MMM's/Python/r)

National AI Awards 2025

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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.