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Senior Data Analyst at fintech scale

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Jack and Jill AI
Full Time position
Listed on 2026-03-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineer, Data Warehousing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Senior Data Analyst at fast-growing fintech scale-up
Location: Greater London

Senior Data Analyst

Company

Description:

Fast-growing fintech scale-up

Job Description: As a Senior Data Analyst, you will lead the development of reporting and analytics for core operations teams, including Fraud and Financial Support. You will build scalable MI infrastructure, consolidate multiple data sources into a unified reporting layer, and provide critical insights to leadership to drive operational performance and ensure regulatory compliance across the organization.

Location: London, UK

Why this role is remarkable
  • You will own the end-to-end MI infrastructure, moving beyond simple reporting to building a robust, scalable data architecture from the ground up.
  • Join a well-funded fintech backed by top-tier VCs during a high-growth phase where your insights directly influence the COO and senior leadership.
  • Take on immediate leadership responsibilities by managing and mentoring a Senior Analyst while defining the future processes of the MI team.
What you will do
  • Design and maintain robust DBT models and SQL pipelines to transform raw data into a single source of truth for operational metrics.
  • Build and manage executive-level dashboards tracking KPIs across service performance, fraud trends, and regulatory compliance.
  • Proactively consolidate disparate datasets to resolve inconsistencies and ensure the integrity of the operational reporting layer.
The ideal candidate
  • 3+ years of experience in SQL-heavy analytics roles with proven expertise in building data models and reporting infrastructure.
  • Technical proficiency in SQL and Python, with hands-on experience using DBT for data transformation and version control.
  • Previous experience mentoring or managing other analysts and the ability to communicate complex data insights to non-technical stakeholders.
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Position Requirements
10+ Years work experience
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