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Marketing Data Analyst

Harnham
Leeds
3 weeks ago
Applications closed

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Marketing Data Analyst

Fully Remote

Up to £45,000


The Company:

This growing lender is on a mission to provide flexible and affordable financial solutions to underserved customers. With ambitious growth plans, they are scaling their commercial team and investing in data to drive smarter acquisition, retention, and ROI.


The Role:

As the Marketing Data Analyst, you’ll sit within the commercial team and play a key role in shaping customer acquisition strategy. A large focus will be on lead generation—tracking partner performance, optimising spend, and delivering insights that improve conversion and efficiency.

Key responsibilities include:

  • Analysing marketing and customer data to improve performance, budget allocation, and ROI.
  • Managing and evaluating external lead generation partners to ensure quality and conversion.
  • Supporting acquisition and retention strategies through data-driven testing and insights.
  • Designing and maintaining dashboards and reports in Power BI, Tableau, or similar.
  • Conducting statistical analysis to identify trends and opportunities.
  • Presenting findings to senior stakeholders in a clear, actionable way.
  • Collaborating with commercial and cross-functional teams to drive data-led decisions.


Your Experience:

  • 2+ years’ experience in data analysis, ideally within Financial Services.
  • Strong SQL and Python skills, alongside advanced Excel.
  • Experience in marketing data, with a focus on lead generation and acquisition.
  • Proven ability to communicate technical insights to non-technical stakeholders.
  • Commercial awareness of key KPIs across acquisition, retention, and ROI.
  • Experience with Salesforce and BI tools (Power BI, Tableau, etc.) desirable.


Why Apply?

  • Play a pivotal role in driving acquisition through smarter use of data.
  • Join a fast-paced, mission-led lender making an impact in financial services.
  • High visibility role with direct influence on budget efficiency and customer growth.
  • Opportunity to shape and optimise how data is used across commercial strategy.

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