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Località

Località
India
Regione
Haryana
Città
Gurgoan
Area di carriera
Finance & Controlling
Livello di esperienza
Studenti
Codice della posizione
WD-0043759

Descrizione e requisiti

Position: Finance Intern – Data Science & Analytics

Department: Finance


What is the role?

We are looking for a high-potential, analytically driven Finance Intern who enjoys working with data and wants to see how data science is applied in real business and finance scenarios. As a Finance Intern, you will work closely with the Finance team to analyze data, build reports, and support decision-making using analytics.

You will gain hands-on experience with financial datasets, analytical tools, and real-world business problems, helping you bridge the gap between classroom learning and industry application.


Key Responsibilities:

• Analyze financial data to support reports, dashboards, and management information systems (MIS)

• Perform data cleaning, validation, reconciliation, and transformation on large financial datasets

• Translate business and finance questions into data-driven insights in collaboration with cross-functional stakeholders

• Support month-end and year-end closing activities with a focus on data accuracy and quality

• Conduct market, financial, and competitor analysis using quantitative and analytical methods

• Assist in audits and internal reviews by ensuring data consistency, traceability, and documentation

• Identify opportunities for process improvement through analytics, automation, and digital finance solutions


What are the essential knowledge, experiences and skills you need for this role?

• Bachelor’s degree in engineering

• Strong interest in finance and data analytics

• Proficiency in MS Excel

• Working knowledge of Power BI, SQL, Python, or similar analytical tools

• Strong numerical reasoning, analytical mindset and problem-solving skills

• High attention to detail with a structured and methodical approach to problem-solving

• Strong communication skills and ability to collaborate effectively across teams

• Curiosity, learning agility, and interest in applying data science concepts to finance use cases