Data Analyst

Job description and Understanding :

Salary : 12 to 70 LPA

Profile : Data Analyst

Your key responsibilities :

• Ensure accurate calculation of all the Indexes via the execution of all daily production procedures and controls while operating within strict deadlines.
• Perform routine quality assurance procedures, which include checking prices and monitoring market activity to understand impact on our clients or Index calculations.
• Ensure timely delivery of all the Index Products to internal & external clients.
• Addressing client queries and collaborating with Client Service teams to assist in resolution of client queries.
• Addressing day to day operational issues in a timely manner.
• Consistently review procedures and processes to identify enhancements, efficiencies and scalability that could be created through enhancements to existing processes or new tools in support of existing products and potential new launches.
• Develop knowledge of index calculation methodologies & processes and maintain the index database in accordance with changes in Index constituents, coverage, or methodology.
• Contribute in projects relating to client or internal product requirements involving developing or reviewing business specifications followed by testing.
• Extract, analyze, and interpret large datasets to provide actionable insights for business decision-making.
• Utilize statistical techniques and data mining tools to identify trends, patterns, and anomalies.
• Develop and maintain dashboards and reports using tools like Tableau, Power BI, or similar platforms.
• Present complex data in a clear and concise manner to stakeholders across various departments.
• Implement data validation processes to ensure accuracy, consistency, and reliability of data.
• Conduct regular data audits and address data quality issues promptly.
• Work closely with cross-functional teams, including IT, marketing, finance, and product management, to understand their data needs.
• Participate in global project meetings and contribute to strategic planning.
• Create and maintain detailed documentation of data processes, methodologies, and analysis results.
• Ensure documentation is aligned with corporate standards and accessible to global teams.
• Stay updated on emerging data technologies, tools, and industry trends.
• Proactively seek opportunities to enhance data processes, performance, and scalability.

Your skills and experience that will help you excel :

(ref : hirist.tech)