Data Analyst

• Supporting the design and alignment of data pipelines to meet defined needs
• Conducting data quality analysis to identify gaps, inconsistencies and improvement opportunities
• Engaging with stakeholders to communicate findings and support data-driven decision-making
• Contributing to financial and operational analysis where data supports business outcomes
• Supporting the maintenance and optimisation of existing data processes

This is an opportunity to register your interest in future Data Analyst positions within our London office. Roles of this type could involve partnering with stakeholders across the business to gather data requirements, design robust data pipelines, and ensure data quality that supports informed decision-making. You would operate within a collaborative environment where your analytical mindset and attention to detail could directly influence how teams access and interpret data., * Proven experience in data requirements gathering and stakeholder engagement

• Working knowledge of data pipeline design and data quality assessment methodologies
• Proficiency with SQL and data analysis tools such as Power BI or similar platforms
• Strong analytical and problem-solving skills with attention to detail
• Ability to translate business needs into technical data specifications
• Bachelor’s degree in Mathematics, Computer Science, Statistics or related field (Master’s degree preferred)
• Authorisation to work in the United Kingdom

• Type: Contract · Full-time
• Rate: £400-500 per day
• Focus: Data requirements, pipeline alignment, data quality analysis and stakeholder engagement, Most roles of this type offer the following, dependent on the industry and seniority of the role:
• The opportunity to develop specialist expertise in data quality and pipeline management
• Exposure to diverse data challenges across the business
• Potential to shape how data is understood and used across teams
• Contract flexibility with a competitive daily rate of £400-500
• Access to professional development and the chance to work alongside experienced data professionals
• Support within a collaborative, data-focused environment

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