2 of 2 Remote Data Visualisation Jobs in Avon

The Data and Insights Manager will oversee the gathering, analysis, and reporting of business-critical data to drive informed decision-making within the industrial and manufacturing industry. This role is fully remote and requires a strategic thinker with a strong background in data management and analytics. Client Details This opportunity is with a well … established, Global Plc operating within the industrial and manufacturing sector. The company is known for its innovative products and is committed to leveraging data to maintain its competitive edge in the market. Description Lead a small but expanding team of Data Engineers, BI Developers and Data Governance specialists Develop and implement data … management within the industrial or manufacturing industry. Good knowledge around modern data platforms i.e Azure, Power BI, SQL, iPaas, Fabric, Databricks etc Proficiency in data visualisation tools and software. Experience with database management and analytics platforms. Excellent problem-solving and organisational skills. A degree in a relevant field such as Data Science, Business More ❯

About the role Lead on the data analytics strategy and insight delivery in Financial Planning & Analysis. Shape strategic decisions through advanced analytics and MI reporting. Hybrid working with up to 60% homeworking and 40% in Stratford-upon-Avon Are you ready to take the lead in transforming financial planning through data-driven insights and expert analysis … At NFU Mutual, we’re looking for a visionary Data Analytics & Insights Manager FP&A to shape the future of our Financial Planning & Analysis function (FP&A). As the Data Analytics & Insights Manager, you’ll be responsible for driving the development and execution of advanced data analytics and insights initiatives. Reporting to the … working with machine learning techniques (e.g., clustering, decision trees, neural networks). Experience using programming and tools (e.g., SQL and Azure). Proficient skills in using data visualisation tools (e.g., Power BI). Proficient skills in using data science tools (e.g., R Studio, Python). Understanding of cloud architectures and modern data analytics More ❯