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Senior Marketing Data Analyst

Jobs via eFinancialCareers
City of London
2 days ago
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Overview

Join to apply for the Senior Marketing Data Analyst role at Jobs via eFinancialCareers. We are looking for a Senior Marketing Data Analyst in our Data team. As a Senior Marketing Data Analyst, you will develop in-depth knowledge of Funding Circle's Marketing activities and products, become an expert in marketing analytics, and support analytical initiatives and the development of a data-driven maturity within Funding Circle.

Who are we? Funding Circle backs small businesses to succeed and aims to help them get the finance they need to grow. We pride ourselves on fast, human-centred support and a customer experience that delivers value through data-driven insights.

At Funding Circle we’re committed to building diverse teams. If your path doesn’t align perfectly with every requirement, please apply.

Want to learn more? Visit our Impact Report and Trustpilot page for more context on our impact and customer feedback.

Responsibilities
  • Design and execute experiments to test marketing hypotheses: design, develop, and implement experiments across channels, segments and audiences to derive actionable insights and drive decision-making.
  • Develop predictive models: build, test and implement models to inform business decisions such as customer segmentation, retention, and customer lifetime value.
  • Communicate results and engage with stakeholders: present insights and recommendations clearly to technical and non-technical stakeholders to drive informed decisions.
  • Analyze datasets: identify trends and patterns to unlock opportunities and meaningful insights.
  • Mentorship and knowledge sharing: contribute to a collaborative analytics culture, provide mentorship to junior team members, and share knowledge within the analytics teams and business units.
  • Continuous learning: stay up-to-date with advancements in data science and marketing analytics to apply best practices and maximize the value of marketing insights.
What we're looking for
  • Marketing background: experience with marketing data, understanding of marketing channels, campaign performance metrics, and awareness of external influences on marketing performance.
  • Data curiosity and problem solving: ability to explore, understand, and explain complex datasets; identify opportunities for automation and process improvements; practical, outcome-driven mindset.
  • Proficiency in statistical modelling: experience developing and deploying statistical models, with knowledge of supervised and unsupervised methods; GenAI/LLMs knowledge is an advantage.
  • Software development skills: strong programming experience (ideally Python); ability to collaborate with analytics engineers, data scientists, and engineers on model development and analytics projects.
  • Data manipulation, cleaning and analysis: proficient in data manipulation and analysis using tools like Pandas, NumPy, and SQL; capable of handling large-scale datasets and data quality issues; solid statistical understanding for modelling.
  • Collaborative team player: strong interpersonal and communication skills; ability to work in cross-functional teams with both technical and non-technical stakeholders; self-starter with a results-oriented mindset.
  • Continuous learning and adaptability: commitment to staying updated on data science and marketing analytics; able to thrive in a fast-paced, high-innovation environment.

Funding Circle is committed to building diverse teams. We encourage you to apply even if your experience doesn’t align perfectly with every requirement.

Benefits
  • Flexibility: benefit allowance to tailor your package to you and your family’s needs
  • Health: private medical and dental insurance, health cash plans, wellbeing and healthcare services
  • Wealth: life assurance, income protection, financial coaching, share scheme, and Perks at Work discounts
  • Development: dedicated annual learning and development allowance and access to internal learning resources
  • Lifestyle: electric car and cycle-to-work schemes, season ticket loans, and additional lifestyle perks
Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Information Technology

London, England, United Kingdom 1 week ago


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