Crisil - Data Analyst (1-3 yrs)

- Data Validation from primary and secondary sources, ensuring high level of data quality/integration process implementation.

- The dataset involves financials for multiple companies and fund investments collected from multiple sources, which need to be validated for any errors in financial parameter.

- Detect, examine, and decode trends or patterns within intricate datasets.

- Cleanse data and scrutinize tech-generated reports and outputs to identify and rectify coding errors.

- Coordinate with management to align business and informational priorities.

- Identify opportunities for process enhancements.

- Employ statistical techniques to scrutinize data and produce actionable business insights.

- Collaborate with the management team to determine and rank the needs of different business units. Convey insights through both reports and visual presentations.

- Partner with engineering and product development teams to understand business requirements.

- Engage with managers from various departments to specify data requirements for analysis projects tailored to their unique business processes.

Skills and Qualifications:

- Possess a solid foundation in excel and practical experience with data analysis

- Understanding of the company financials statements like profit and loss and balance sheet

- Exhibit exceptional analytical abilities to compile, structure, examine, and present substantial data sets with precision and thoroughness.

- Capable of critically evaluating data to derive meaningful, actionable insights.

- Demonstrate superior communication and presentation capabilities, adept at simplifying complex data insights for audiences without a technical background.

- A Masters in Business Administration in Finance or Charted Accountant, or a comparable discipline is required, with prior experience in data analysis/testing or a related field being advantageous.

Additional Requirements : Adept at report writing and presenting findings. Ability to work under pressure and meet tight deadlines. Basic proficiency in languages including SQL, Python or R is a plus.