3 of 3 Remote/Hybrid Analytical Modelling Jobs in the South East

Build and maintain interactive dashboards to visualise key metrics and operational trends Work directly with customers to understand requirements and translate them into effective analytical solutions Present clear, concise insights and recommendations to both technical and non-technical stakeholders Develop and document SQL queries, scripts, and reports for recurring … analysis Take analytical ownership by developing deep knowledge of customer data holdings Proactively drive improvements in analytical capability, data models, and governance practices Skills & Experience Required Proven experience working as a Data Analyst (DV) , Data Analyst, or similar analytical role Strong proficiency in Python for data analysis ...

Title: Data Analyst Location: London, Hybrid My client is looking for an experienced Data Analyst to support a cloud-based data platform, preparing and modelling trusted datasets to enable analytics, dashboards, and self-service reporting across Finance, Supply Chain, Quality, and Operations. Key Responsibilities Cleanse and harmonise data from … with Data Engineers Document business rules, data mappings, and de-duplication logic Conduct data quality checks and validation for GDPR/GMP compliance Develop analytical models and curated views for business use cases Build and maintain Power BI dashboards from certified data sources Collaborate with stakeholders to identify ...

recommend the optimal cloud platform (Azure or Google Cloud Platform) for implementing Databricks. This will involve a detailed evaluation of both platforms against analytical requirements, cost models, security, compliance, and integration considerations, culminating in a clear recommendation for senior stakeholders Role Overview You will lead a comprehensive Cloud & Data … data landscape, including CRM data in SQL Server, external datasets, geospatial sources, and BI consumption. Assess how shortlisted cloud platforms (Azure vs GCP) meet analytical requirements: large-scale data volumes (20M+ rows), mixed data types, NLP/AI workloads, geospatial analytics, and daily refresh needs. Compare Azure ...