Associate Content Researcher

Morningstar is a leading provider of independent investment research in North America, Europe, Australia, and Asia. We offer a wide variety of products and solutions that serve market participants of all kinds, including individual and institutional investors in public and private capital markets, financial advisors, asset managers, retirement plan providers and sponsors, and issuers of securities.

Morningstar India has been a Great Place to Work-certified company for the past ten consecutive years.

The Team

As an essential part of Morningstar Global MID Organization, Data Content Research Team is responsible for data process solution analysis and impact analysis for new data or data changes, business rule management, and data collection platform change request review and sign off. The team would collaborate with different data function teams on key data initiatives, and continue drive operation excellence.

The Role

Morningstar seeks a self-motivated Associate Content Researcher to join Mumbai Managed Investment Data team. In this role, you will work with Data Strategy team, Tech team and Global MID operations team to implement new data, data changes, business rule enhancement and interface enhancements to drive operation excellence. You will be a key contributor to design new data collection process flow and user interface, build creative tool and provide insight for data enhancement and you would also play a key role as the data escalation point. Your exposure to global teams will allow you to have a solid foundation for your career. This position is based in Mumbai office.

Shift - UK

Responsibilities:

- Review and interpret business requirements to propose actionable data and process solutions

- Use data mining to surface data issue and support data strategy decision-making.

- Design new data flow and user interface, build back-end logic to ensure data accuracy.

- Provide solution and consultation for data processing improvement from overall data perspective.

- Provide proper proposal for data quality control backend logic to drive data accuracy improvement.

- Interpret data methodologies into usable technology language through detailed written specifications