Senior Data Research Analyst (Thai Speaker)

About Morningstar

Morningstar is a leading global provider of independent investment insights, serving both individual and institutional investors across public and private markets. Our offerings include a wide range of data, research, and investment management services, with $300+ billion in assets under management. Operating in 32 countries, Morningstar supports financial advisors, asset managers, retirement plan providers, and more with comprehensive investment solutions.

About This Role

We’re looking for experienced Thai speakers to join our team as Senior Data Research Analysts. Our EMEA Data Team is dedicated to delivering top-quality financial data that empowers investors worldwide.

In this role, you’ll be a key data expert, working closely with the Global Data Team and business partners to ensure the accuracy, completeness, and timeliness of investment data. You’ll also lead data acquisition initiatives, manage provider relationships, and drive process improvements. If you're ready to take ownership of high-impact projects and shape the future of financial data, we’d love to hear from you!

What You'll Do

• Lead data initiatives to improve accuracy, timeliness, and coverage of investment data.
• Act as a data expert on fund structures, methodologies, and calculations.
• Build and maintain strong relationships with data providers, setting up acquisition channels and handling escalations.
• Collaborate with cross-functional teams to resolve complex data issues.
• Implement LEAN Six Sigma methodologies to enhance processes and analytical tools.
• Ensure high levels of data accuracy, completeness, and quality for internal and external clients.
• Manage high volumes of data, meeting strict deadlines while continuously improving workflows.
• Translate internal client requests into detailed specifications and user stories to drive product enhancements.

Who You Are

• Multilingual Communicator: you must be fluent in Thai and English (another language is a benefit), allowing you to collaborate effectively with global data providers and ensure smooth data acquisition processes.
• Financial Data Specialist: with a strong understanding of investment data, methodologies, and fund structures, you’re passionate about delivering high-quality insights that support global markets.
• Strategic Problem Solver: you take ownership of data challenges, proactively identifying and resolving complex issues while implementing process improvements to enhance efficiency.
• Technically skilled & process-oriented: Proficient in Microsoft Excel and experienced in data quality methodologies, you bring strong project management skills and thrive in a fast-paced environment.

Ready to Shape the Future? At Morningstar, every hire we make strengthens our mission to empower investor success. Apply now and help shape the future of investing with us.

Base Salary Compensation Range

Bonus Target:

We expect the compensation and target bonus for this role to fall within the stated range. The specific compensation offered will depend on the candidate’s qualifications, experience, and other job-related factors.

Morningstar's hybrid work environment gives you the opportunity to collaborate in-person each week as we've found that we're at our best when we're purposely together on a regular basis. In most of our locations, our hybrid work model is four days in-office each week. A range of other benefits are also available to enhance flexibility as needs change. No matter where you are, you'll have tools and resources to engage meaningfully with your global colleagues.

About Us

Morningstar is a global independent investment research and financial data company. Here, you'll help uncover what’s hidden, simplify what’s complex, and create insights that empower investor success.

Morningstar is strongly committed to creating and preserving equal opportunity for all employees and applicants. We make all employment decisions—including recruitment, hiring, compensation, training, promotion, transfer, discipline, termination, and other personnel matters—without regard to race, color, ancestry, religion, sex, national origin, age, disability, protected veteran status, marital status, sexual orientation, genetic information, citizenship, gender identity and expression, parental status, or other legally protected characteristics or conduct.