Senior Data Analyst - London (Twice Weekly On-Site) - £70,000-£80,000 + Benefits!Our client is looking for a Senior Data Analyst to join their team in London on a hybrid basis, working on-site twice a week. In this role, you will collaborate with various business functions to gather use cases, refine reporting requirements, and support the growth of data engineering and data science capabilities. You will be responsible for managing the data model and data dictionary artefacts, ensuring that all deliverables, from ETL jobs to machine learning models, meet business expectations.Key Responsibilities:Collaborate with various business functions to identify and document data use cases and reporting needs.Work with Product Owners to refine stories for the Data Engineering team and capture relevant test scenarios.Manage and maintain the data model and data dictionary artefacts, ensuring they are up to date and accurate.Test ETL jobs, data workflows, reports, and machine learning models to ensure they meet defined requirements.Support the expansion of data engineering and data science capabilities, collaborating with multiple scrum teams, including external teams in India.Ensure compliance with non-functional requirements like scalability, security, availability, and performance.Continuously improve reports, data extracts, and models produced from the data platform.Use Agile collaboration tools such as Figma, JIRA, Confluence, Microsoft Teams, and Slack to facilitate communication and project management.Core Skills & Experience:Prior experience working with senior business stakeholders to identify and document data use cases in data engineering and data science.Strong background in data modelling, with hands-on experience documenting data structures and lineage.Full lifecycle experience as a Data Analyst, supporting the implementation of data platforms for structured, semi-structured, and unstructured data.Experience with AI/ML solutions and platform capabilities, including model registries, feature stores, and model monitoring.Proficiency with AWS querying tools like MySQL, DocumentDB, DynamoDB, and Redshift, as well as reporting tools such as Microsoft PowerBI and Excel.Strong knowledge of data management practices, including data modelling and governance.Deep understanding of data security and privacy principles, such as encryption, data classification, RBAC, and key management.Financial services experience required, with a preference for challenger bank experience.Knowledge of financial reporting fundamentals, including income statements and balance sheets, with a formal accounting qualification (e.G., ACCA, CFA, CIMA) preferred.Excellent communication, problem-solving, and presentation skills.Join our client in London to drive data-driven solutions and collaborate on building cutting-edge data platforms. Apply now to become their next Senior Data Analyst!
