Senior Data Analyst - Warszawa, Polska - Marsh McLennan Companies

    Marsh McLennan Companies
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    W pełnym wymiarze godzin
    Opis

    Description:

    MMC is seeking candidates for the following position based in the Warsaw office:


    Senior Data Analyst

    What can you expect?
    As an analyst specializing in metrics, analytics, reporting, and reference data management, you will be working with an international team based in Belgium, Poland and France. You will be responsible for collecting, analyzing and interpreting data to produce informative reports. You will also manage measurements to assess performance and ensure consistency of customer reference data.

    What you will be rewarded with:

    Working in the EU Management Intelligence team will give you the opportunity to experience an enriching and learning international human and professional adventure, where each team member contributes to the success of the team, the business and the customers. You'll find an environment where you can

  • Acquire a global understanding of the business and foster opportunities for collaboration and networking.
  • Continuously learn and develop your skills, enabling you to stay at the cutting edge of industry trends and technologies.
  • Contribute to the organization's strategic decision-making process by analyzing data and producing reports.
  • Take on new challenges with the variety of analytical problems to be solved, requiring critical thinking and creativity.
  • Further your career at Marsh with experience and expertise in data analysis and management
  • In addition we offer:

  • Attractive benefits package (including private health care, sports card, life insurance, lunch card)
  • A Diverse and multicultural atmosphere
  • Flexible working hours and a hybrid working model that nurtures a collaborative working environment in the office 3 days per week allowing 2 days per week to be spent working on a remote basis
  • We will rely on you to:

  • Collaborate with various partners across Marsh structures in European region to analyze, identify, and provide insights for key projects (for example: claims management, Client management etc.)
  • Provide data insights for complex business problems that can be approached with analytical techniques to collect, explore, and extract information using tools such as Business Objects, Excel, Tableau, QLIKSENSE or other relevant BI tools
  • Identify data quality (DQ) requirements, define DQ metrics and perform ad hoc DQ assessments; automate DQ monitoring with visualizations
  • Build understanding of how data flows operational and analytic platforms
  • Support the data projects in Data Governance topics
  • Contribute by deep data analysis (such as sales data, client related data etc.) to Marsh transformation and transition projects, working closely with business subject matter experts
  • Investigate and present results of ad hoc data analysis requests
  • Lead the interpretation of data analysis and present findings in front of Senior Leadership Management
  • What you need to have:

  • A Master's degree in Business, IT or relevant field
  • 3+ years of relevant data analysis role
  • Fluent English – is a must
  • Demonstrated ability to drive conclusions from various business data and present them in front of Senior Leadership Management
  • Highly proficient in Microsoft Office applications – especially Excel and PowerBI/ Qlik/ Tableau
  • Excellent communication and interpersonal skills, as well as the ability to interact across all levels of the organization, are essential for this role
  • The ability to manage heavy workloads to meet deadlines and deliver consistently high standards of work by planning and prioritizing effectively
  • Strong attention to detail and accuracy for both numerical and written work is crucial for this role
  • What makes you stand out:

  • Practical experience within an Insurance and/or claims area
  • Automation/technology background
  • Additional European language
  • Overall positive approach
  • Open to continuous learning