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London & Partners is seeking a data analyst to help design and implement scalable data flows, semantic models and a robust data warehouse strategy within the Technology and Data department. You will enable Insights and Policy teams with strategic reporting and self-service analytics, while advancing ethical AI initiatives and data governance.
The role emphasizes collaboration across IT and business units, mentoring colleagues, and driving data quality and governance programs to support informed
The Technology and Data department ensures that London & Partners maintains a secure, scalable and resilient technological ecosystem, that underpins the organisation’s strategic goals and daily operations. We promote the effective use of technology and data, fostering collaboration to drive innovation, enhance internal processes and support informed decision-making across the organisation.
Identify, scope and implement data flows and semantic models to enhance the reporting architecture. Support the implementation of the data architecture necessary to support the Insights and Policy teams, enabling them to produce strategic insights and reports. Collaborate with colleagues who lead on reporting and insights to develop and promote a self-service reporting approach across the organisation. Prepare for the development of advanced analytics, including predictive and prescriptive models. Own and drive the implementation of the data quality framework, including the design and maintenance of exception reports and priority status reporting. Take a lead role in the development of our Data Governance Forum, coordinating with Data Owners and Stewards to proactively identify, flag and resolve complex data quality issues. Define, refine and enforce a single source of truth for key datasets to ensure consistency and confidence in reporting. Work with IT and digital colleagues to validate data flows between systems, ensuring consistency and accuracy. Help review and map key systems, processes and APIs, to support the development of a central data warehouse. Prepare for the development of advanced analytics, including predictive and prescriptive models. Initiate and manage pilots of ethical AI and machine learning use cases within the data lake(s). Identify, scope and implement opportunities to expand the data warehouse reporting capability by building data pipelines and semantic models to enhance reporting efficiency. Design and deliver training programmes and support structures to teams on how to access and interpret reports and dashboards. Act as the organisational champion for self-service analytics by enabling and governing access to trusted, well-governed data.
Significant proven experience in a data analyst or business intelligence role. Strong proficiency in tools such as SQL, Python, R, Power Query M, Java and DAX. Experience working with Microsoft Fabric or a comparable integrated data platform. Proven ability to independently lead and drive complex data projects and strategic initiatives with minimal supervision. Demonstrable experience in mentoring or guiding junior team members or business stakeholders on data best practice. Experience working with data validation, cleansing and reporting processes. Exceptional communication and presentation skills, with a proven ability to articulate complex findings to both technical and non-technical audiences, ultimately influencing strategic decision-making at all organisational levels. Experience with data warehousing or centralised reporting environment such as Fabric, or similar integrated data platform. Strong attention to detail and problem-solving ability. Будет плюсом: Familiarity with public sector, economic development, or strategic reporting frameworks (e.g. GLA); Experience extracting and working with Salesforce data; Demonstrable experience in designing and enforcing data governance principles, GDPR, and complex data quality frameworks; Exposure to AI or machine learning concepts and tools