Client Analytics Analyst

What will your essential responsibilities include?

• Actively engage in projects and initiatives under the responsibility of the Head of Client Analytics.
• Jointly work with other AXA XL departments (e.g., IDA, Regions) to continuously improve clients data.
• Conduct in-depth analyses of client data to derive actionable insights.
• Be part of the taskforce framing and building AXA XL Client NPS program, perform quantitative analyses on AXA XL NPS performance, provide quarterly updates to the Leadership Team and the Regions on client feedback and satisfaction metrics.
• More broadly, be involved to transversal initiatives within the Client Office and contribute to the development of the Chief Client Office team’s tools, skills, and culture.
• Continuous improvement: Collaborating with teams to improve data collection processes, analysis methods, and data-driven decision-making within the organization.
• Reporting: Summarizing and presenting findings to stakeholders through reports, presentations, or other means.
• Data collection: Gathering data from various sources, such as databases, spreadsheets, and other systems.
• Data cleaning and preprocessing: Ensuring the data is accurate, complete, and formatted correctly for analysis.
• Data analysis: Using statistical methods and data analysis tools to identify trends, patterns, and relationships within the data.
• Data visualization: Creating visual representations of data, such as charts, graphs, and dashboards, to communicate findings effectively.
• Identifying insights: Drawing meaningful conclusions from the data and providing actionable recommendations based on the analysis.

We’re looking for someone who has these abilities and skills:

• Analytical skills: The ability to gather, analyze, and interpret data to make informed decisions.
• Brings in a collaborative spirit, a can-do attitude, and a Customer First mindset.
• Passion for digital, data, and AI and experience working within a digital and data-driven organization.
• Experience of operating in a global, matrix environment.
• Communication skills: Effective written and verbal communication skills are often essential for conveying complex information to various stakeholders, across all levels of the business.
• Technical skills: Proficiency in relevant software and tools, such as Microsoft Excel, SQL, Tableau, or other data analysis and visualization tools.
• Problem-solving skills: The ability to identify issues, develop solutions, and make recommendations based on data analysis.
• Attention to detail: Being meticulous and thorough in analyzing data and reporting findings accurately.
• Business acumen: Understanding of the industry, market trends, and business operations to provide valuable insights.
• Time management: The ability to prioritize tasks and manage deadlines effectively.