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Gallagher in India is seeking a data analytics professional to evaluate and support business strategies through data-driven insights. You will work with large datasets, perform analytics and statistical modeling, and help implement business initiatives with accuracy and speed.
The role requires university-level education and at least three years of relevant experience, with strong data analysis, visualization, and programming capabilities.
Welcome to Gallagher in India — where expertise, technology, and purpose come together. Since 2006, Gallagher in India has supported global teams by delivering quality, service, and speed through deep expertise, smart technology, and specialized knowledge services. More than just an operations center, it’s a place where careers grow through collaboration, continuous learning, and purposeful work. We drive efficiency, compliance, and innovation so our teams can focus on serving clients. If you enjoy solving problems and working with purpose, Gallagher is the place where you can grow and feel a sense of belonging.
Responsibilities:
Specializes in working with large and complex data sets to evaluate, recommend, and support the implementation of business strategies. Identifies and compiles data sets using a variety of tools to help predict, improve, and measure the success of key businesstobusiness outcomes. Responsible for performing general analytics and statistical modeling on existing data sets in various areas of the business.
May require the following proficiencies:
Qualifications:
Preferred:
At Gallagher, we believe supporting our colleagues goes far beyond the role itself.For more information, visit our Benefits page.
At Gallagher, we are dedicated to building an inclusive and authentic workplace. If your past experience doesn’t align perfectly, we encourage you to join our Talent Community to stay connected to additional career opportunities. At times, we will consider transferable skills from previous roles.
Gallagher is an affirmative action/equal opportunity employer (Minorities/Females/Veterans/Disabled)