At a Glance
- Tasks: Analyse marketing data, develop predictive models, and communicate insights to drive business decisions.
- Company: Funding Circle helps small businesses thrive with innovative finance solutions and cutting-edge technology.
- Benefits: Enjoy hybrid working, flexible benefits, private medical insurance, 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 all requirements.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
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.
- 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.
- 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).
- 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.
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.
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 | London, UK | Hybrid employer: Funding Circle
Contact Detail:
Funding Circle Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Marketing Data Analyst | London, UK | Hybrid
✨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 analytics to drive marketing decisions in previous roles. Be ready to share specific examples that highlight your analytical thinking and problem-solving abilities, as these are key traits they are looking for.
We think you need these skills to ace Senior Marketing Data Analyst | London, UK | Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in marketing data analysis. Focus on your skills in statistical modelling, data manipulation, and any specific tools mentioned in the job description, such as Python, SQL, and analytical techniques.
Craft a Compelling Cover Letter: In your cover letter, express your passion for helping small businesses succeed and how your background aligns with Funding Circle's mission. Mention specific projects or experiences that demonstrate your expertise in marketing analytics and problem-solving skills.
Showcase Your Analytical Skills: Provide examples of past work where you designed experiments or developed predictive models. Highlight how your insights led to actionable business decisions, and be prepared to discuss these in detail during the interview process.
Research Funding Circle: Familiarise yourself with Funding Circle's products and marketing strategies. Understanding their approach will help you tailor your application and demonstrate your enthusiasm for the role and the company.
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 the role. Be prepared to discuss how you have used these metrics in past projects to drive decision-making and improve campaign performance.
✨Showcase Your Analytical Skills
Be ready to demonstrate your analytical prowess. Prepare examples of how you've developed predictive models or conducted experiments that led to actionable insights. Highlight your experience with tools like Python, SQL, and data manipulation libraries.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You may need to present your findings to both technical and non-technical stakeholders, so clarity and conciseness are key.
✨Emphasise Collaboration
Funding Circle values teamwork, so be sure to highlight your collaborative experiences. Discuss how you've worked with cross-functional teams and contributed to a positive team environment, especially in high-pressure situations.