Data Analytics Manager

Campion Pickworth; Greater London; In loco; GBP 90.000 - 120.000; Tempo pieno

Descrizione del lavoro

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

Competenze

• Bachelor's degree or higher 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.
• 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.
• 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.

Mansioni

• 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.

Conoscenze

Python

Tableau

SQL

Data analytics

Project management

Stakeholder management

Mentoring

Communication

Formazione

Bachelor's degree or higher in a quantitative field

Descrizione del lavoro

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*