3 of 3 Use Case Jobs in Cheshire

support analytics and reporting needs. Work with both structured and unstructured data, ensuring high-quality data management practices. Design scalable, high-performance data models that enable efficient data use across the business. Build and transform datasets for downstream analytics, BI, and data science use cases. Leverage cloud technologies (AWS preferred) to deliver scalable, resilient data solutions. More ❯

following best practices for statistical accuracy, ethics and accessibility Ensuring that the appropriate Data Privacy Impact Assessments (DPIAs) are completed prior to the execution of new data analytics use cases Providing appropriate technical support for data analysis products and services for incident and problem resolution Person specification Essential criteria assessed at application stage: Experience relevant to the role … through any combination of academic or vocational qualifications or experience Experience of creating data analytics reports, dashboards and visualisations in support of a wide range of contexts and use cases. Advanced experience in developing, optimising, and maintaining Power BI dashboards and reports, including DAX, Power Query and data modelling. Experience of using data analytics technologies both on-premise … statistical methodologies and data analysis techniques. Able to select the right approach to creating meaningful and actionable insights. Actively keeps informed of industry developments to make cost-effective use of new and emerging tools and technologies. Knowledge of the public sector and regulatory environment, or clear appreciation of specifics and complexities and how they would influence the role. More ❯

mapping, RFP responses, and hands-on demonstrations across multiple scientific domains Drive adoption and long-term success through regular reviews, roadmap alignment, and proactive technical guidance Identify new use cases, expansion opportunities, and cross-functional value drivers within customer accounts Collaborate with Product, Engineering, and Project teams to secure resources, communicate technical needs, and influence solution direction Navigate … Experience operating within complex enterprise data environments — not greenfield — with familiarity across data warehouses, integration layers, and scientific informatics systems Commercial instincts: able to build relationships, recognise new use cases, support expansions, and influence account strategy A track record of working closely with scientists, data engineers, and commercial teams to deliver scalable, impactful solutions Who Thrives Here: This More ❯