2 of 2 Customer Segmentation Jobs in Manchester

resolution. Our annual mission is to empower hundreds of thousands of customers to positively engage with and resolve their outstanding debts . We do this through an empathetic and customer-centric approach that is at the heart of our success. 🔎 What are we looking for? We are seeking a proactive and experienced individual to join our growing Analytics function. … Lead your own and the team’s analysis into current processes and strategy with a focus on performance. Identify and effectively communicate the opportunities to improve. Collections Strategy : Propose customer-centric and cost-effective strategies, using a combination of experience and deep data insight. Work cross-functionally to refine, gain buy-in and deploy these strategies. Scoring and segmentation : Build customer segmentation, leveraging and influencing the output of our Decision Science team. Comfortable optimising for commercial and customer outcomes and building testing frameworks. MI and Reporting : Use SQL and Power BI to build your own reports, guiding strategic decision making.Comfortable working with stakeholder to refine requirements and independently to leverage our own insight. Team Development More ❯

Fi coverage, we stand out from the crowd by offering intelligent but simple products that work perfectly first-time, without fuss or incomprehensible jargon, and for any help our customer service is the best in the industry” Our aim is to deliver simplified & customer delighting Wi-Fi products and a more digital customer & employee experience. This enabled … overseeing the strategy, governance, and execution of all data science and analytics initiatives. Reporting to the executive team, you will ensure data is leveraged to drive business growth, improve customer experience, and enable operational excellence across the organisation. Key Responsibilities Develop and execute a comprehensive data science and analytics strategy aligned with business goals. Build and lead a high … analysts, and data engineers, fostering a culture of innovation and continuous learning. Oversee the end-to-end delivery of advanced analytics, machine learning, and decision support systems to improve customer engagement, retention, and revenue generation. Establish robust data governance, quality, and compliance frameworks, ensuring the integrity and security of all data assets. Collaborate with C-suite and business leaders More ❯