Cognizant Technology Services - Data Analyst - Financial Data Support

Data Analyst Financial Data Support

The selected candidate will work as a Data Analyst supporting the valuation and research teams of a leading global financial institution. The role is suited for professionals with a strong foundation in financial data management, data validation, and analytical support, and offers the opportunity to work on data-driven workflows supporting global research teams.

Primary Role Responsibilities:

- Manage, maintain, and update financial, market, and economic datasets used in research and valuation workflows.

- Perform data validation, reconciliation, and quality assurance checks to ensure completeness and accuracy of datasets.

- Support sector-level and macroeconomic data initiatives and analytical projects.

- Collect, organize, and maintain data from various internal and external sources.

- Develop and update data tables, charts, exhibits, and analytical reports for research teams.

- Manage recurring data updates, data inputs, and exhibit maintenance for periodic publications and reporting deliverables.

- Perform quality checks on historical, financial, market, and other factual information used in analytical workflows.

- Support ad hoc data analysis, reporting, and project-related activities as required.

Required Qualifications:

- Bachelor's or Master's degree in Finance, Accounting, Economics, Statistics, Mathematics, Data Analytics, Business Analytics, Computer Science, or a related discipline.

- 2-5 years of relevant experience in Financial Data Management, Data Analytics, Financial Research Support, Data Operations.

- Good understanding of financial data, financial statements, and capital markets.

- Strong analytical and problem-solving skills with high attention to detail.

- Advanced Excel skills, including data analysis, reconciliation, and reporting.

- Knowledge of SQL, Power BI, Python, VBA, or similar analytical tools would be an advantage.

- Familiarity with financial databases such as Bloomberg, FactSet, Capital IQ, Refinitiv, or similar platforms would be an advantage.

- Ability to work effectively in a fast-paced, deadline-driven environment.

- Flexible approach to workload and business requirements.