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AXA

Global insurer offering life, property, casualty

Lead Analytics Engineer - f/h

Business IntelligenceUpdated on Nov 5
Full-timeSuresnes, France

About the Job

Requirements

  • Strong expertise in Business Intelligence, data analytics, and team support.
  • Knowledge of Business Intelligence fundamentals and data modeling, including databases, data warehouses, data marts, cubes, key performance indicators, and data products.
  • Proficiency with Power BI, Microsoft Fabric, and SQL; ability to perform data visualization, reporting, and dashboarding.
  • Knowledge of development practices including continuous integration and continuous delivery, Git, and Azure DevOps.
  • Operational English proficiency is required.
  • A Bac +5 engineering-school qualification is required.
  • Approximately 5 years of experience in a similar role in an international and agile environment.

Responsibilities

  • Provide methodological and technical support to Data Engineers, Analytics Engineers, developers, and Tech Leads.
  • Organize team activities according to priorities and business needs.
  • Participate in recruitment, training, and coaching of Data Analytics teams.
  • Develop the Data Analytics framework, evolve the Analytics platform, and define development best practices.
  • Structure and facilitate the Data Analytics guild to strengthen data governance and excellence.
  • Support business teams in Analytics projects and develop their reporting capabilities.
  • Conduct internal training and ensure standards are followed.
  • Design Analytics solutions, propose data architectures, and guide technology choices according to project needs.
  • Transform data and design data models, data products, and reports for business teams.
  • Scope reporting projects and ensure delivery according to development standards.
  • Ensure reporting quality using suitable measurement and monitoring tools.
  • Lead Business Intelligence projects and create reports that simplify and automate processes for Finance, IT, and other business teams.
  • Identify existing reports and new reporting needs.
  • Migrate reports to Power BI and Microsoft Fabric.
  • Optimize and redesign Analysis Services and Power BI cubes.
  • Contribute to decision-support modeling for Data applications.

Desired Qualifications

  • Knowledge of Databricks, Python, and the insurance sector is an advantage.

About the Company

AXA

Global insurer offering life, property, casualty

AXA is a global insurer and asset manager that provides life, health, and property and casualty insurance, as well as related financial services. Its products work by customers paying insurance premiums in exchange for coverage against risks; AXA pools risk across many policyholders, prices premiums based on risk, and pays claims when events occur, while also offering investment and retirement products through its asset management arm. The company has grown through large acquisitions, giving it a wide geographic footprint and a diverse mix of personal, commercial, and specialty insurance offerings. This scale and breadth set AXA apart from many competitors, alongside a long history of strategic mergers that expanded its reach to customers around the world. AXA’s goal is to be a leading global insurer and asset manager, delivering financial protection and long-term value to customers and stakeholders.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1816

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