Data Portfolio Analyst - Work location : Madrid

Job description

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Whatever their stage of life, we provide over 108 million customers with the products and services they need to progress. From insurance to personal protection, and savings to wealth management, no matter the need we’re always there for them. And we’re always there for our employees. In 50 countries, we work hard to inspire pride and a sense of belonging in our people. To provide opportunities that challenge them, inspire them, and reward them. And to create a culture that’s open, supportive, and empowering. Because we know that’s the real secret to success – and the best way for us to keep building a better world for both our customers and the talented people who put them first.

Your work environment:

The headquarters of the AXA Group (GIE AXA) brings together our corporate activities. It provides guidance and support to subsidiaries around the world, to ensure the coordination and monitoring of the Group's global strategy, the application of its standards, the consistency of commercial approaches and the sharing of best practices. The headquarters gathers approximately 1000 employees and is distinguished by its strong international culture (45 nationalities), which makes it a rich and stimulating place to work.

Within the Group, you will join the newly created Global Chief Underwriting Office (GUO) in charge of establishing, enabling, and driving profit and growth through Insurance Product Underwriting Strategy, Portfolio Design and Technical Underwriting Excellence & monitoring in partnership with the AXA Entities, for all lines of Business.

Data is a key part of AXA’s Strategic Plan “Unlock the Future” and the transformation of the organization as a Data Driven company. To succeed in this journey, we are looking for our Data Portfolio Analyst. If you …

• Are a data-driven and a data passionate person,
• Driven by value creation through data use and projects,
• Eager to learn every day something new and meeting challenges

…this position is made for you

Your job and daily missions:

P&C Commercial Line Group Underwriting Office is looking for a “Data Portfolio Analyst” to join the Business Performance team. The Data Portfolio Analyst will play a key contributing role in ensuring Data assets meet objectives in terms of Quality, Timeline & Benefits:

• Support P&C CL Underwriting teams in their strategic initiatives related to data framework/governance implementation in various P&C business processes: P&C Technical Performance Monitoring, Natural Catastrophes data Management across the Group (NatViews), Energy Transition & Sustainability (e.g. ESG),…
• Lead / Participate to transversal projects & use cases related to Data Mesh and Gen AI, and be a Data Governance referent, working closely with Data Owners (Finance, Risk, Underwriting, entities,…) and Data Stewards (Technology & Data teams, Corporate Data Center,…) to answer their questions, provide orientations and ensure data framework is enforced
• Perform data cartography and mapping exercises with business teams in order to document the relevant processes, technical storage items (tools) and relevant data to be included in our data governance framework
• Collaborate with data transversal stakeholders (Group Risk Management, Group Finance, AXA Group Operations,…) to ensure global alignment on data policy and effective usage by P&C CL operational teams
• Master tool capabilities both from an end-user perspective (browsing, search, views…) and from an admin one (import/export data, data quality review, access rights management…)
• Promote data culture across Group Underwriting Office and contribute to the improvement of data maturity through diverse communication formats and events

Desired profile

Qualifications :

·  Master’s degree in business or engineering, with a business data orientation
·  Around 3 to 5 years’ experience as a Data / BI business analyst. Experience in Insurance and/or Consulting would be appreciated.
·  Knowledge in data projects management, ideally in major and multi-cultural organizations with large-scale data.
·  Fluency in English, verbal and written
·  Good data processing/visualization and technical skills, with confirmed knowledge of Excel, SQL, BI tools (e.g. PowerBI & Tableau), Python, R
·  Computer literate including Microsoft Office Package
·  Inquisitive mind with compelling analytical thinking skills
·  Ability to work with team globally located and cross-functionally, with entrepreneurial spirit and ambition to drive change