Financial Data Analyst

Job Summary

Job Title: Financial Data Analyst

Location: New Delhi / Bengaluru

Work Experience: 1 - 3 years

Qualification: Master's degree in Finance, or Business Analytics / CFA or equivalent.

Responsibilities

• Collaborating with senior management to conceptualize and develop new tech-enabled investment banking and private equity products and internal capabilities.

• Developing internal databases and repositories, along with research tools that can be used to quickly and effortlessly obtain information from internal and external sources (such as company filings and commercial databases) for client deliverables.

• Leveraging Microsoft Excel, Python, R, Power BI, and Tableau to organise and present data better, and create innovative illustrations, dashboards, and visualisations.

• Develop and maintain Power BI dashboards and scheduled reports that deliver timely insights to clients.

• Build repeatable data pipelines and automated workflows (ETL, refresh schedules, file movements, approvals, alerts) using SQL, Python/R to remove manual touchpoints.

• Integrate Power BI reports with other applications (embedded analytics, APIs) and manage report publishing, access controls, and governance.

  Requirements

• Proficiency with data tools and languages such as SQL, Python, R, and Tableau for data extraction, transformation, and visualization.

• Advanced Microsoft Excel skills, including creating complex formulas and logics, working with pivot tables, large datasets, and functionalities such as Power Query, macros and VBA.

• Superior analytical skills with a structured, hypothesis-driven problem-solving approach and strong business acumen.

• Prior experience in financial services deal-making, with exposure to financial restatement, corporate finance or transaction analysis - would be an advantage.

• Strong passion to learn, with the ability to multitask and work effectively under tight deadlines and extended hours.

• Excellent communication, report writing, and presentation skills, with the ability to simplify complex, data-heavy insights.

• Additional relevant skills: Strong Power BI experience in data modelling, Power Query ETL, DAX, report publishing and administration.

• Familiarity with cloud data stacks (Azure SQL, Azure Data Factory / ETL, Data Lake, Synapse) or Snowflake/BigQuery equivalents.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.