2 of 2 Remote Data Management Jobs in Maidenhead

Build Your Career at Informatica We seek innovative thinkers who believe in the power of data to drive meaningful change. At Informatica, we welcome adventurous, work-from-anywhere minds eager to tackle the world's most complex challenges. Our employees are empowered to push their bold ideas forward, and we are united by a shared passion for using data … deliver training programs, sales tools, and content. Collaborate with cross-functional teams, including sales, marketing, and product, to ensure alignment and maximum impact of enablement initiatives. Analyze sales performance data to identify areas for improvement and develop targeted enablement solutions to address gaps. Develop and manage budgets, forecasts, and resource allocation plans to support enablement initiatives. What We'd … through enablement initiatives. Role Essentials Experience leading and managing teams. Strong understanding of sales methodologies, processes, and technologies. Experience with sales enablement platforms, tools, and technologies, such as learning management systems, content management systems, and sales analytics platforms. BA/BS or equivalent educational background, we will consider an equivalent combination of relevant education and experience Minimum 8+ More ❯

collaboration, and driving real impact. Explore our opportunities and become part of a company that values diversity, integrity, and growth. Role Overview We are seeking a skilled and motivated Data Scientist II to join our team. In this role, you will leverage your advanced analytical skills and programming expertise to extract insights from complex datasets, develop predictive models, and … support decision-making for our diverse range of customers. As a mid-level contributor, you will work on a variety of data-driven projects, collaborate with cross-functional teams, and help implement scalable solutions. Key Responsibilities Data Analysis & Modelling: Analyse large, complex datasets to identify trends, patterns, and actionable insights. Develop, implement, and optimize machine learning models to … solve business problems. Conduct A/B testing and experimental analysis to validate hypotheses. Data Management & Engineering: Collaborate with data engineering teams to ensure data quality, accessibility, and efficiency. Design and develop ETL pipelines and workflows for data pre-processing. Develop automated tests to validate the processes and models you create. Collaboration & Communication: Collaborate with More ❯