Company Overview:

Join a leading financial services firm that leverages advanced data analytics to deliver exceptional customer insights and drive business decisions. With a strong presence across marketing, digital, and commercial functions, the firm is committed to using innovative customer science solutions to shape its strategic direction and enhance commercial outcomes.

Role:Senior Customer & Marketing Analyst

Location:London

Hybrid Working:3 days in office, 2 days WFH

Salary:£55,000 - £75,000 (depending on skills, experience, and qualifications)

Role Overview:

The firm is looking for a Senior Customer & Marketing Analyst to join its Customer Science team, focused on transforming data into actionable insights that drive customer engagement and business growth. Reporting to the Head of Customer Analytics, you'll collaborate with data science and marketing teams to design and deliver innovative solutions that support the launch of new customer propositions and provide in-depth analysis of customer behavior.

Responsibilities:

• Collaborate with marketing, digital, and commercial stakeholders to deliver customer insights that inform business decisions and launch customer-facing propositions.
• Design and implement data-driven solutions in partnership with AI/ML teams to address real-world business challenges.
• Conduct advanced analyses to understand customer behaviors, test hypotheses, and identify performance drivers, providing clear, actionable recommendations.
• Lead the development and execution of customer experiments, applying statistical rigor to ensure robust outcomes.
• Effectively communicate insights and technical findings to both technical and non-technical audiences, ensuring the commercial impact is clear.
• Contribute to a customer-focused roadmap by prioritizing insights and opportunities with the highest value.

Key Skills & Experience:

• Degree or postgraduate qualification in a numerate or programming-oriented discipline, or equivalent experience within a marketing or e-commerce environment.
• Proficiency in SQL or Python, with demonstrated experience in delivering data-led projects from conception to completion.
• Strong track record of building and managing stakeholder relationships and clearly communicating complex data insights.
• Proven ability to apply customer data and statistical expertise to solve business problems and influence decision-making.
• A passion for using data to understand customer behavior and drive business improvements.

In our company values we aim for equity at all stages of the recruitment process, please let us know if we can do anything to make the process more accessible to you.