CRISIL is hiring for an entry level Research Data Analyst role in India

Position:

• Research Data Analyst, focused on delivering high quality analytical outputs for financial and corporate domains
• Role involves supporting global research teams with data driven insights and structured reporting
• Opportunity to work closely with analysts on thematic research publications and specialized reports
• Position requires a blend of technical expertise and financial understanding to interpret data meaningfully
• Exposure to real world business problems in macroeconomics, bond markets, and corporate credit analysis
• Involves ownership of data workflows, analytical pipelines, and reporting deliverables
• Encourages proactive thinking, problem solving, and continuous improvement in analytical processes
• Requires collaboration with internal stakeholders and global teams to ensure timely delivery of insights

Company:

• CRISIL Limited
• A globally recognized analytics and research organization known for delivering data driven insights
• Strong presence in financial research, credit ratings, and risk analysis
• Known for its analytical rigor, structured methodologies, and high quality outputs
• Works closely with global clients across industries to support decision making through data and research
• Emphasizes innovation, technology adoption, and continuous learning across teams
• Built on a strong foundation of ethics, transparency, and client centricity
• Offers a collaborative environment where employees contribute to impactful global projects

Location:

• Pune, Maharashtra, India
• One of India’s major hubs for analytics, finance, and technology roles
• Provides access to a strong professional ecosystem and corporate network
• Suitable for professionals looking to grow in data analytics and financial research

Job type:

• Full time role with long term career growth opportunities
• Structured work environment with defined responsibilities and deliverables
• Focus on stability, learning, and progression within the organization

Job mode:

• Hybrid work setup with a mix of office presence and remote collaboration
• Enables flexibility while maintaining team coordination and productivity
• Encourages collaboration through both virtual and in person interactions

Job requisition id:

• Not explicitly specified in the job posting
• Internal tracking and hiring reference managed by the organization

Years of experience:

• 1 to 3 years of relevant experience required
• Suitable for freshers with strong technical skills and internships in data analytics or finance
• Early career professionals looking to transition into analytics roles can also apply

Company description:

• CRISIL Limited operates as a global analytics and research powerhouse with a strong mission to improve how markets function through high quality insights and data driven decision making
• The organization focuses on delivering actionable intelligence to clients across sectors including finance, corporate, and risk management
• It is known for combining deep domain expertise with advanced analytics capabilities to produce reliable and impactful outputs
• The company encourages innovation by integrating modern technologies like big data tools, machine learning, and cloud based analytics platforms into its workflows
• Employees are provided with an environment that promotes learning, collaboration, and intellectual growth, enabling them to solve real world business challenges
• A strong emphasis is placed on ethical practices and transparency, ensuring that all deliverables maintain high credibility and trust
• The culture within the organization supports open communication, idea sharing, and continuous improvement, allowing individuals to contribute meaningfully
• With a global presence and diverse client base, the company offers exposure to international markets, financial systems, and analytical frameworks
• Its commitment to employee development includes structured training programs, mentorship opportunities, and performance driven rewards
• Overall, the organization stands as a preferred destination for professionals seeking to build a career in analytics, research, and financial intelligence

Profile overview:

• The Research Data Analyst role is designed for individuals who are passionate about working with data and translating it into actionable insights
• The position involves close collaboration with research analysts to support thematic publications and analytical reports
• Candidates will be responsible for managing data pipelines, ensuring data quality, and building efficient workflows using modern tools
• A strong emphasis is placed on technical expertise, especially in tools like Databricks, SQL, and Python
• The role requires the ability to work with large datasets, both structured and semi structured, and derive meaningful conclusions
• Individuals will contribute to financial and macroeconomic analysis, including bond markets and corporate credit trends
• Communication plays an important role, as candidates will participate in team discussions, client calls, and review meetings
• The role also involves documenting processes, maintaining operational manuals, and ensuring knowledge sharing across teams
• Candidates are expected to proactively identify challenges and escalate them to relevant stakeholders for timely resolution
• This position offers a balance between technical execution and business understanding, making it ideal for early career professionals
• It provides exposure to global analytical standards and industry best practices
• The role encourages continuous learning and adaptation to evolving technologies and methodologies
• Individuals will develop strong analytical thinking, problem solving skills, and domain knowledge in finance
• Overall, the position serves as a strong foundation for building a long term career in analytics and research

Qualifications:

• MBA in Finance or equivalent educational background with strong analytical foundation
• Proficiency in Databricks for building scalable data pipelines and workflows
• Strong command over SQL including writing complex queries and optimizing performance
• Advanced knowledge of Python for data analysis, scripting, and building analytical solutions
• Experience in handling large datasets and working with both structured and semi structured data
• Familiarity with data visualization tools, especially within Databricks environments
• Understanding of data engineering concepts and best practices
• Ability to translate business requirements into technical solutions effectively
• Knowledge of financial concepts such as macroeconomics, bond markets, and corporate ratings
• Strong skills in Excel for data manipulation and reporting
• Good communication skills for interacting with stakeholders and participating in meetings
• Ability to work in a team oriented environment while managing individual responsibilities
• Attention to detail and commitment to delivering high quality outputs
• Willingness to learn new tools, technologies, and analytical approaches
• Strong problem solving mindset with the ability to handle complex analytical tasks
• Experience in report writing and documentation is an added advantage
• Ability to manage time effectively and meet deadlines consistently

Additional info:

• Candidates will work closely with global teams and gain exposure to international projects
• The role involves regular interaction with analysts and stakeholders, enhancing communication and collaboration skills
• Opportunity to contribute to impactful research that influences business decisions and market understanding
• Employees are expected to follow organizational processes and maintain high standards of data security
• Participation in internal forums and knowledge sharing sessions is encouraged
• The organization promotes a culture of continuous improvement and innovation
• Candidates will have access to learning resources and training programs to enhance their skills
• Performance driven environment with opportunities for career growth and advancement
• Exposure to cutting edge tools and technologies in analytics and data engineering
• Work environment emphasizes ethics, transparency, and accountability
• Opportunity to build a strong professional network within the organization and industry
• Employees are encouraged to take ownership of their work and contribute ideas
• The role provides a platform to develop both technical and business skills
• Flexible work setup supports work life balance while maintaining productivity
• Recognition and rewards for high performance and impactful contributions

Please click here to apply.