3 of 3 Remote Analytical Skills Jobs in Sunbury-on-Thames

and external stakeholders. Profile A successful B2B Marketing Specialist should have: A solid background in B2B marketing within the technology industry. Proficiency in digital marketing tools and platforms. Strong analytical skills for measuring and reporting campaign performance. Experience in creating and managing marketing content across multiple channels. The ability to work collaboratively in a team-oriented environment. Job More ❯

and external stakeholders. Profile A successful B2B Marketing Specialist should have: A solid background in B2B marketing within the technology industry. Proficiency in digital marketing tools and platforms. Strong analytical skills for measuring and reporting campaign performance. Experience in creating and managing marketing content across multiple channels. The ability to work collaboratively in a team-oriented environment. Job More ❯

technologies and their real-world applications. The Geospatial Technology Engineer will interface closely with other Geospatial SMEs, Digital Product, and business collaborators to deploy and develop Geospatial technology, data & analytical solutions to meet business challenges across a wide range of domains including Production, Projects, Subsurface & Wells, Crisis, Renewables, and Refining. Key technical capabilities and expectations: Develop innovative solutions and … methods, coordinate reference systems, representation of spatial objects, image processing, query processing, spatial data infrastructures, data manipulation, data security. Geospatial Analysis: Query operations and languages, earth geometry and geodesy, analytical operations, analysis of surfaces, spatial statistics, geo-statistics, spatial regression and econometrics, network analysis, optimization, and location allocation modeling. Spatial Data Visualization: including data considerations, principles of map design … to improve process, workflow and service delivery. Challenging conventional thinking, problem solving and innovating. Actively seeking to apply data science techniques; automation and machine learning, including the use of analytical and visualization tools to translate data and interpreted results into actionable insights and value. You engage in honest conversations and encourage team members to ask questions and actively listen More ❯