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▷ [Apply in 3 Minutes] Data Analyst- Specialist

▷ [Apply in 3 Minutes] Data Analyst- Specialist

Marsh McLennanIndia
7 hours ago
Job description

Marsh McLennan Global Services India Private Limited (MMGS) is the world’s leading professional services firm in the areas of risk, strategy and people. The Company’s more than 85,000 colleagues advise clients in over 130 countries. With annual revenue of $23 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses. Marsh provides data-driven risk advisory services and insurance solutions to commercial and consumer clients. Guy Carpenter develops advanced risk, reinsurance and capital strategies that help clients grow profitably and pursue emerging opportunities. Mercer delivers advice and technology-driven solutions that help organizations redefine the world of work, reshape retirement and investment outcomes, and unlock health and well being for a changing workforce. Oliver Wyman serves as a critical strategic, economic and brand advisor to private sector and governmental clients. For more information, visit marshmclennan.com, or follow us on LinkedIn and X.

Marsh McLennan Global Services India Private Limited (MMGS) is seeking candidates for the following position based in the Mumbai office for their Placement team :

Job Title : Specialist

Grade : C1

MMC Business Unit : Marsh UK

MMGS Function : Knowledge Services

Responsibilities

  • Proficient in analytics skills using tools like Power BI reporting, power query, Python SQL.
  • Understand our business model to analyze data and provide actionable insights.
  • Collaborate with colleagues across various levels to align analyses with business objectives.
  • Assemble and process large datasets, identifying and implementing internal process improvements.
  • Gather and model data using Python to support strategic decision-making.
  • Create visually appealing dashboards using Power BI to effectively communicate insights.

Qualifications

  • Bachelor’s degree in engineering, Analytics, Computer Science, or a related field, or a Master’s degree in Statistics, Computer Applications, IT, Business Analytics, or any discipline.
  • Required Skills

  • Hands-on experience through internships or projects in app development using Power BI, Power Query, Python & SQL.
  • Familiarity with data analysis and working with large datasets.
  • Proficiency in SQL and Python for data extraction and manipulation.
  • Strong data visualization skills with experience in tools like Power BI, Tableau, or Qlik Sense.
  • Excellent problem-solving, critical-thinking, and communication skills.
  • Strong attention to detail and the ability to work with complex data sets.
  • Preferred Skills

  • Understanding requirements, excellent communication skills and stakeholder management are crucial skills.
  • As a global leader in insurance broking and risk management, we are devoted to finding diverse individuals who are committed to the success of our clients and our organization. Joining us will provide a solid foundation for you to accelerate your career in the risk and insurance industry. You will join a team of talented professionals from across the globe which is dedicated to helping clients manage some of the world's most challenging and complex risks. We can promise you extraordinary challenges, extraordinary colleagues, and the opportunity to make a difference. Our rich history has created a client service culture that we believe is second to none. Our commitments to Diversity and Inclusion, Corporate Social Responsibility, and sustainability demonstrate our commitment to stand for what is right.

    As a Marsh and McLennan Company colleague, you will also receive additional benefits such as :

  • A competitive salary
  • Employee friendly policies
  • Health care and insurance for you and your dependents
  • Healthy Work life balance
  • A great working environment
  • Flexible benefits packages to suit your needs and lifestyle.
  • Future career opportunities across a global organization
  • Create a job alert for this search

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