Data Analytics Manager

Company: Campion Pickworth
Apply for the Data Analytics Manager
Location: London
Job Description:

Campion Pickworth are looking for an experienced and ambitious Data Analytics Manager to join a growing financial services analytics function. This is an opportunity to take a leading role in delivering data-driven solutions across the banking sector, working with a diverse range of stakeholders and supporting complex analytical projects.

The successful candidate will bring a combination of strong technical expertise, project management experience and the ability to translate complex data into meaningful business insights. You will play a key role in leading analytics initiatives, improving data quality, developing innovative analytical solutions and managing high-performing teams. Working across a range of financial services environments, you will have the opportunity to shape analytical approaches, influence senior stakeholders and contribute to the ongoing development of data capabilities.

Key Responsibilities:

  • Lead the delivery of data analytics and data quality initiatives across a portfolio of financial services engagements.
  • Manage and oversee analytical projects, including scoping, planning, budgeting, resource management, risk management and delivery against agreed timelines.
  • Lead a small team in understanding and assessing complex data environments, executing data quality testing and translating findings into actionable insights.
  • Develop and deliver high-quality Tableau dashboards, visualisations and reporting solutions to communicate analytical findings, risks and business insights.
  • Act as a technical subject matter expert in analytical tools, particularly Python and Tableau, with working knowledge of SQL.
  • Drive the use of Python and other analytical technologies to automate testing, improve processes and deliver scalable analytical solutions.
  • Work closely with senior stakeholders to understand business challenges and recommend practical, data-led solutions.
  • Contribute to the strategic development of the wider analytics function, identifying opportunities to enhance existing capabilities and introduce innovative approaches.
  • Manage, develop and mentor junior team members, supporting their technical development and professional growth.
  • Develop innovative analytics tools and solutions to support evolving business, financial services and regulatory requirements.
  • Build and maintain strong, long-term relationships with key stakeholders across client organisations.
  • Contribute to the development and communication of analytical best practice, supporting knowledge sharing and continuous improvement across the wider team.
  • Bachelor’s degree, advanced degree, or equivalent in a quantitative field such as mathematics, physics, statistics, computer science, accounting, finance, or engineering.
  • Experience working in an analytics or modelling team within the financial services industry, either within a professional services firm or a FTSE 350 company.
  • Demonstrated experience managing Data Assurance, analytics or audit technology engagements, including leading multiple teams in a dynamic environment to meet reporting deadlines and manage senior stakeholders.
  • A meticulous attention to detail, coupled with a structured and thorough approach to delivering high-quality output, including experience in code, output, and documentation review.
  • Advanced technical experience with Python, including the ability to review code, automate data quality tests and explain technical outputs to non-technical stakeholders.
  • Hands-on experience developing Tableau dashboards or visualisations to communicate quality findings, risks and insights.
  • Exposure to one or more financial asset classes, banking products or regulatory data domains, such as derivatives, loans, mortgages, capital, liquidity or risk reporting.
  • Proven ability to build and develop strong client relationships.
  • Excellent oral and written communication skills.
  • Holding or working towards a professional qualification (e.g. CQF, FRM, CFA, ACA, CIMA).
  • Strong understanding of the regulatory environment and an understanding of data quality frameworks such as BCBS239.
  • Experience with SQL and data quality frameworks, including BCBS 239 or equivalent data governance and control frameworks.

*Please note this role cannot provide Visa Sponsorship*

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Posted: November 9th, 2026