Data Analyst - US Shift

As a Data Analyst at Morningstar in the US Shift, your role will involve working with diverse datasets such as public equity filings, private market transactions, ESG taxonomies, Managed Investment Data (Funds), and reference entity data. You will have the opportunity to build your knowledge about investment management, enhance your skills in tools like Excel, SQL, and Power BI, and undergo structured training for continuous growth and long-term success. Key Responsibilities: - Search, collect, and verify data of basic and intermediate levels of complexity - Attend to internal/client queries and requests to ensure alignment with data methodologies and policy guidelines - Learn research methods and process standards to ensure productivity, quality, and timeliness - Collaborate with team members and external parties to resolve data issues - Innovate and improve processes/tools or participate in stretch projects besides core responsibilities Qualifications Required: - Hold a Bachelor's degree (preferably in finance) with 60% marks - Demonstrate English communication skills (written/oral/comprehension) - Proficient in MS Office tools, especially Excel and Word - Quick learner with a proactive mindset and attention to detail - Ability to prioritize tasks and work effectively under tight deadlines If you are a fresh graduate or a professional with up to 1 year of experience, you are encouraged to apply. The hiring process includes an online assessment covering domain knowledge, cognitive ability, English language, and a typing test. Shortlisted candidates will proceed to an information session and two rounds of interviews. Morningstar values individual flexibility and work-life balance. Employees are encouraged to bring their whole selves to work, benefit from development opportunities, and engage in a collaborative work environment. As part of a global leader in independent investment research, you will have the chance to contribute to empowering investor success through data, research, and technology. Morningstar operates in a hybrid work environment, promoting collaboration and innovation through in-office culture while offering flexibility for remote work. Your adaptability in working across different shifts will be recognized, and shift allowances are provided as a token of appreciation for your commitment. Join Morningstar in Vashi, Navi Mumbai, and embark on a journey where your talents are valued, your ideas matter, and your contributions are rewarded. Start making a difference and achieve financial security while being a part of an equal-opportunity employer committed to fostering a diverse and inclusive workplace. As a Data Analyst at Morningstar in the US Shift, your role will involve working with diverse datasets such as public equity filings, private market transactions, ESG taxonomies, Managed Investment Data (Funds), and reference entity data. You will have the opportunity to build your knowledge about investment management, enhance your skills in tools like Excel, SQL, and Power BI, and undergo structured training for continuous growth and long-term success. Key Responsibilities: - Search, collect, and verify data of basic and intermediate levels of complexity - Attend to internal/client queries and requests to ensure alignment with data methodologies and policy guidelines - Learn research methods and process standards to ensure productivity, quality, and timeliness - Collaborate with team members and external parties to resolve data issues - Innovate and improve processes/tools or participate in stretch projects besides core responsibilities Qualifications Required: - Hold a Bachelor's degree (preferably in finance) with 60% marks - Demonstrate English communication skills (written/oral/comprehension) - Proficient in MS Office tools, especially Excel and Word - Quick learner with a proactive mindset and attention to detail - Ability to prioritize tasks and work effectively under tight deadlines If you are a fresh graduate or a professional with up to 1 year of experience, you are encouraged to apply. The hiring process includes an online assessment covering domain knowledge, cognitive ability, English language, and a typing test. Shortlisted candidates will proceed to an information session and two rounds of interviews. Morningstar values individual flexibility and work-life balance. Employees are encouraged to bring their whole selves to work, benefit from development opportunities, and engage in a collaborative work environment. As part of a global leader in independent investment research, you will have the chance to contribute to empowering investor success through data, research, and technology. Morningstar operates in a hybrid work environment, promoting collaboration and innovation through in-office culture while offering flexibility for remote work. Your adaptability in working across different shifts will be recognized, and shift allowances are provided as a to