Data Analyst

InCred Capital; Mumbai; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Nextleap in Mumbai is seeking a Data Analyst to translate financial and industry data into actionable insights for equity research. You will collaborate with equity analysts and economists to support research reports, sector analyses and investment themes.

The role requires 3–5 years of data analytics or financial analytics experience, strong Python, SQL and advanced Excel skills, and a solid ability to interpret complex datasets; familiarity with Bloomberg, Ace Equity and CMIE is preferred.

Qualifications

• 3-5 years of experience in data analytics, quantitative research or financial analytics.
• Proficiency in Python, SQL and advanced Excel.
• Strong analytical and quantitative skills with ability to interpret complex datasets.
• Familiarity with financial markets, company financials and economic indicators is preferred.
• Hands-on experience with financial data platforms such as Bloomberg, Ace Equity and CMIE is essential.

Responsibilities

• 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.

Skills

Python

SQL

Advanced Excel

Data analytics

Financial analytics

Tools

Bloomberg

Ace Equity

CMIE

Job description

Data Analyst

Key Responsibilities

• 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.