Data Analyst

InCred Capital; Maharashtra; Presencial; INR 1 200 000 - 2 000 000; Tempo integral

Resumo da oferta

InCred Capital in India seeks a skilled data analytics professional to transform financial, economic, and industry data into actionable insights for equity research. You will collaborate with equity analysts and economists to support research reports, sectoral analysis and investment themes, and develop data-driven models, dashboards and visualisations to identify trends.

Additionally, you will automate data collection, processing and reporting using analytical tools while ensuring data accuracy

Qualificações

• 3–5 years of experience in data analytics or financial analytics.
• Proficiency in Python, SQL and advanced Excel.
• Familiarity with financial markets and economic indicators.
• Experience with Bloomberg, Ace Equity and CMIE is essential.

Responsabilidades

• Analyse financial, economic and industry datasets to generate actionable insights for equity research.
• Work with equity analysts and economists to support research reports, sectoral analysis and investment themes.
• Develop data-driven models, dashboards and visualisations to identify trends and patterns.
• Automate data collection, processing and reporting using analytical tools.
• Ensure data accuracy and integrity across research outputs.

Conhecimentos

Python

SQL

Advanced Excel

Analytical thinking

Quantitative research

Ferramentas

Bloomberg

Ace Equity

CMIE

Descrição da oferta de emprego

• Analyse financial, economic and industry datasets to generate actionable insights for equity research.
• Work with equity analysts and economists to support research reports, sectoral analysis and investment themes.
• Develop data-driven models, dashboards and visualisations to identify trends and patterns.
• Automate data collection, processing and reporting using analytical tools.
• Ensure data accuracy and integrity across research outputs.

Candidate Profile:

• 3–5 years of relevant experience in data analytics, quantitative research or financial analytics.
• Proficiency in Python, SQL and advanced Excel.
• Strong analytical and quantitative skills, with an ability to interpret complex datasets.
• Familiarity with financial markets, company financials and economic indicators is preferred.
• Hands-on experience with commonly used financial data platforms such as Bloomberg, Ace Equity and CMIE is essential.
• Prior experience in a brokerage, investment bank, asset management company or financial research firm would be an advantage.