2 Business Intelligence Jobs in Caerphilly

with the Customer Change Team to provide analysis on the voice of the customer. The role involves actively managing relationships with stakeholders across the business, providing actionable insights that drive decision-making and support the achievement of our commercial objectives. Understanding the data is important at phs, turning it … team of Quality Assessors, Insights Analysts, Workforce Management and Training. Responsible for the delivery and presentation of insights, modelling & forecasting that inform and shape business planning through highlighting opportunities and risks. Work closely with key stakeholders across the business to understand their insight needs. Work very closely with … the Business Intelligence team using the provided data and producing actionable insights. Marketing will be a critical stakeholder as you work to ensure improvements are aligned to marketing strategies and customer insights are shared and aligned. Understanding the businesses performance across customer engagement drivers, providing regular insight as more »

interpret, and predict patterns across our clients manufacturing business. They are looking for someone who can use those data-driven insights to enhance their business practices in order to achieve company goals/KPI’s. If you have the following we'd love to hear from you! Expert in … mathematical, or financial (one is essential – you should demonstrate a sound background) SQL experience (coding) Attention to detail Experience with data visualisation tools (Power Bi, Tableau etc) Familiarity with data modelling, data warehousing, ETL process (foundational) – ideally someone with good experience in all 3. Duties: Perform data analysis and apply … in data management and analysis tools and programming languages such as SQL, Python, R, or SAS. • Experience with data visualisation tools such as Power BI (preferred), Tableau, or QlikView. • Solid understanding of statistical methods and techniques for data analysis. • Familiarity with data modelling, data warehousing, and ETL processes. If this more »