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Financial Data Analyst

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Join Tata Consultancy Services, Asia Pacific and be part of an organization committed to sustainable development for our future. TCS follows the Tata group philosophy of building sustainable businesses that are rooted in the community and demonstrate care for the environment. Our unique values position us to combine a purpose-driven worldview with digital innovation, collaborating with customers, communities and governments to lead and shape innovative solutions for a sustainable future. TCS has been carbon neutral in its operations across 11 countries, 12 delivery centres and 18 offices in Asia Pacific since 2022. This is only the initial stage in TCS’ journey as we strive to achieve long-term net zero emissions by 2030.

Corporate sustainability is embedded in our triple-bottom-line, focusing on people, the planet, and our purpose. Our offices are designed with eco-friendly features that significantly reduce our carbon footprint and enhance energy efficiency. We actively champion green initiatives, such as promoting paperless operations, implementing energy-efficient practices, and fostering employee engagement in sustainability efforts. When you become part of the TCS family, you will play an essential role dedicated to innovation, excellence, and crafting a brighter, greener future together. Join us and be a part of our mission to drive sustainability through technology and talent at Tata Consultancy Services, APAC today

JOB DESCRIPTION:

Minimum Qualifications:

  • 2-4 years consulting or financial/business/data analyst experience
  • BS/MBA in Finance, Accounting, Economics, Business Analytics or BS/MS in STEM or quantitative field (CS, Applied Statistics, Operations Research)
  • Excellent problem-framing, problem solving and project management skills, with the ability to change direction quickly
  • Strong verbal and written communication skills with ability to articulate results of analysis in business terms
  • Confirmed ability to conduct complex, data driven analysis
  • Ability to work independently and collaboratively in a fast-paced environment
  • Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis