Job Title: Data Scientist
Location: Navi Mumbai
About the Role
We are looking for a Data Scientist to join our DOT, specializing in delivering automation and managing data . This role requires strong technical skills in Python, SQL, and Excel, combined with experience in AWS cloud services such as Athena and Aurora, Glue. You will play a key role in ensuring clients receive high-quality, tailored data outputs and queries are handled efficiently through automated tools and processes.
Key Responsibilities
- Automate repetitive tasks using Python scripts and Excel macros where applicable.
- Perform data validation, quality checks, and ensure compliance with internal standards.
- Query and manage data using AWS Athena and Aurora, ensuring scalability and performance.
- Collaborate with Sustainalytics Data operations, Client Services, Business Analysts, Data Engineers teams to deliver timely and accurate outputs.
- Document processes and maintain clear guidelines for tools and workflows.
Required Qualifications
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field with 4+ years of experience.
- Strong proficiency in Python (data manipulation libraries like Pandas, NumPy).
- Advanced knowledge of SQL for querying and managing relational databases.
- Excellent Excel skills, including formulas, pivot tables, and automation techniques.
- Hands-on experience with AWS services (Athena, Aurora, S3).
- Strong analytical and problem-solving skills with attention to detail.
- Ability to manage multiple priorities and deliver under tight deadlines.
Preferred Skills
- Experience with data visualization tools (Power BI, Tableau).
- Familiarity with version control (Git) and workflow automation.
- Knowledge of financial data and reporting standards is a plus.
Morningstar is an equal opportunity employer.
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.
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