11 of 11 Analytics Jobs in Maidenhead

team's capabilities. Qualifications Education: Bachelor's degree in data science, Statistics, Mathematics, or a related field. Experience: 2 or more years of experience in a data science or analytics role. Proven experience in building machine learning models, statistical analysis, and predictive analytics. Experience designing experiments or modelling approaches to solve a specified business problem. Preferred Qualifications Proficiency in programming More ❯

conducting backlog refinement, monitor ready stories vs. velocity Manage product backlog in ALM tools such as Jira, Azure DevOps, etc. Qualifications Bachelors degree in software engineering, computer science, data analytics or a related field 1 - 3 years of experience working as a business analyst, product owner or similar role Highly motivated self-starter with a desire to help others, act More ❯

regional, and international tax regulations and contractual obligations Lead internal audits and support external audits related to Billings & Collections Maintain adherence to SOX controls and other regulatory requirements Reporting & Analytics: Establish and monitor KPIs, SLAs and internal controls to ensure accuracy, timeliness, and compliance Use data insights to drive cost-saving initiatives and policy/process adjustments Stakeholder Collaboration: Cultivate More ❯

average salaries in the sector for lower-level positions and fully trained Data Analysts: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Data Analyst - £67,500 Data Analytics Analyst - £80,000 Business Analysts - £60,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless More ❯

functional project teams Project management experience is desirable Experience and knowledge in Supply Chain and/or CRM applications is a plus Exposure to marketing, customer and sales data analytics is desirable Ability to ravel within Europe desirable More ❯

WILL DO The Software Engineer is a very important "T-Shaped" role demonstrating both depth and breadth across key engineering competencies, e.g. Systems Design, Software Development, Testing, DevOps, Security, Analytics, Lifecycle Management, etc. and successfully collaborate with experts from other subject domains. As a contributing hands-on engineer in the SCM Platform, you will be expected • To actively participate in More ❯

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+ years of relevant professional experience Perks & Benefits Comprehensive health More ❯

Job Description We are seeking a highly skilled and versatile Senior Insight Analyst to join our dynamic and data-driven centralised Analytics department. This role supports the Grosvenor venue business and will give you the opportunity to provide innovative customer analytics and actionable insights that support recommendations on commercial decisions, on areas like acquisition, CRM, cross-sell strategies, churn and … to ensure the right offers and experiences for customers. Using customer segments and insight to develop new strategies, e.g. cross sell criteria and framework for analysing succuss Venue & Channel Analytics : Deliver tailored insights across venues and marketing channels, surfacing granular performance patterns and customer behaviours to inform strategies. Stakeholder engagement : Build and maintain close working relationships with key stakeholders across More ❯

The Position: The R&D Advanced Analytics, Automation, and AI Lead is responsible for executing the R&D digital acceleration roadmap, with a primary focus on delivering business value through advanced and emerging technologies. In close collaboration with I&T, this role oversees the design, development, and deployment of analytics, automation, and AI/ML solutions across the R&D … operationally impactful, and fully aligned with enterprise architecture and capabilities. Responsibilities: Lead the development and execution of the R&D digital acceleration roadmap focused on automation, AI, and advanced analytics Identify disruptive technologies and use cases (e.g., generative AI, intelligent automation, simulation, digital twins) Partner with business stakeholders to develop scalable, production-ready digital solutions Lead agile teams to develop … digital interventions on cycle times, quality, and outcomes Oversee partnerships with AI/ML vendors, academic collaborators, and industry consortia Build internal capabilities and talent pipelines for digital and analytics functions Ensure that all AI, automation, and advanced analytics solutions are implemented in a compliant manner, supporting readiness for regulatory audits and inspections involving emerging technologies Provide thought leadership in More ❯

making. The role partners closely with enterprise I&T to ensure all data initiatives are scalable, compliant, and interoperable. Responsibilities: Define and execute the R&D-wide data and analytics strategy aligned to R&D 2.0 transformation goals and PD&C objectives Serve as a strategic advisor to R&D leadership on opportunities to improve pipeline productivity and operational efficiency … maintain scalable, secure, and interoperable data platforms Enable integration of diverse data types including clinical, real-world data, omics, imaging, and digital biomarkers Collaborate with Digital Business Partners and Analytics teams to ensure data readiness and accessibility for advanced analytics Foster cross-functional data alignment across clinical, safety, regulatory, and research domains Lead and develop a high-performing team of … with industry data innovation Education & Requirements: Advanced degree (MS, PhD, or equivalent) in Data Science, Bioinformatics, Statistics, Computer Science, or a related field. 10+ years of data strategy and analytics experience in life sciences industry, with 5+ years in a leadership capacity. Strong knowledge of R&D processes, including discovery, translational, clinical development, and regulatory submissions Proven experience in enterprise More ❯

The Position: The R&D Advanced Analytics, Automation, and AI Lead is responsible for executing the R&D digital acceleration roadmap, with a primary focus on delivering business value through advanced and emerging technologies. In close collaboration with I&T, this role oversees the design, development, and deployment of analytics, automation, and AI/ML solutions across the R&D More ❯