At a Glance
- Tasks: Design experiments, develop predictive models, and analyse marketing data to drive insights.
- Company: Funding Circle helps small businesses thrive with innovative finance solutions and cutting-edge technology.
- Benefits: Enjoy hybrid working, health perks, flexible benefits, and a supportive work environment.
- Why this job: Join a mission-driven team making a real impact on small businesses and the economy.
- Qualifications: Experience in marketing data analysis, statistical modelling, and strong programming skills in Python.
- Other info: Diversity is valued; apply even if your experience doesn't match perfectly.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Senior Marketing Data Analyst
We 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: https://www.fundingcircle.com/uk/impact
- To see what our customers think, visit our Trustpilot page: https://uk.trustpilot.com/review/fundingcircle.com
- 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.
Senior Marketing Data Analyst - Funding Circle employer: Funding Circle
Contact Detail:
Funding Circle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Marketing Data Analyst - Funding Circle
✨Tip Number 1
Familiarise yourself with Funding Circle's marketing strategies and recent campaigns. Understanding their approach will help you tailor your discussions during interviews, showcasing your knowledge and enthusiasm for their mission.
✨Tip Number 2
Network with current or former employees of Funding Circle on platforms like LinkedIn. Engaging in conversations can provide you with insider insights about the company culture and expectations, which can be invaluable during the interview process.
✨Tip Number 3
Brush up on your statistical modelling skills, particularly in Python. Being able to demonstrate your proficiency in developing predictive models and handling large datasets will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss how you've used data to drive marketing decisions in past roles. Be ready to share specific examples that highlight your analytical skills and problem-solving abilities, as these are key components of the Senior Marketing Data Analyst role.
We think you need these skills to ace Senior Marketing Data Analyst - Funding Circle
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in marketing data analysis. Focus on your understanding of marketing channels, metrics, and any specific campaigns you've worked on that align with Funding Circle's mission.
Craft a Compelling Cover Letter: In your cover letter, express your passion for supporting small businesses and how your skills can contribute to Funding Circle's goals. Mention specific analytical techniques or tools you are proficient in that would be beneficial for the role.
Showcase Your Analytical Skills: Provide examples of past projects where you designed experiments or developed predictive models. Highlight your problem-solving abilities and how you've used data to drive business decisions.
Communicate Clearly: When describing your experiences, use clear and concise language. Remember that you may be communicating with both technical and non-technical stakeholders, so ensure your insights are easily understandable.
How to prepare for a job interview at Funding Circle
✨Know Your Marketing Metrics
Familiarise yourself with key marketing metrics and how they relate to Funding Circle's objectives. Be prepared to discuss how you have used these metrics in past roles to drive successful campaigns.
✨Demonstrate Data Curiosity
Showcase your ability to explore complex datasets and identify trends. Prepare examples of how you've solved real-world business challenges using data analysis, and be ready to discuss your thought process.
✨Communicate Clearly
Practice explaining technical concepts in a way that non-technical stakeholders can understand. During the interview, focus on presenting your insights and recommendations clearly and concisely.
✨Highlight Collaboration Skills
Emphasise your experience working in cross-functional teams. Be ready to share examples of how you've collaborated with both technical and non-technical colleagues to achieve common goals.