Data Analyst

Intellectual Capital HR Consulting Pvt. Ltd.; Coimbatore District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Intellectual Capital HR Consulting Pvt. Ltd. in India seeks a skilled analytics engineer to drive market research, strategic analysis, and AI-enabled portfolio analytics.

The role emphasizes turning real-time market data into actionable insights and scalable technical solutions. You will design in-house applications, integrate AI/ML models, manage data pipelines, and collaborate with analysts and fund managers to translate financial needs into robust technical designs.

Qualifications

• Solid understanding of financial markets, asset classes, and macro statistics.
• Strong programming skills in Python (preferred) or Node.js, with experience in AI/ML frameworks.
• Experience handling databases, APIs, and data storage (cloud or local).
• Ability to deconstruct complex investment problems and design technical solutions.
• Excellent technical documentation and communication of architectures and financial implications.

Responsibilities

• Market Research & Strategic Analysis: monitor real-time markets and synthesize insights for investment decisions.
• Prepare investment notes, reports, and dashboards for senior stakeholders.
• Design, develop, and maintain in-house applications for investment research and portfolio analytics.
• Integrate AI/ML models into financial workflows to automate processes and deepen analysis.
• Collaborate with analysts, fund managers, and data providers to define business requirements and translate them into technical solutions.

Skills

Financial acumen

Technical proficiency

Data handling

Problem solving

Communication

Tools

Python

Node.js

AI/ML frameworks

Job description

1) Key Responsibilities:

Market Research & Strategic Analysis :

Monitor and interpret real-time financial markets, company fundamentals, and key macroeconomic indicators.

• Synthesize statistics and trends into actionable insights that directly inform investment and asset allocation decisions.
• Prepare detailed investment notes, comprehensive reports, and sophisticated dashboards for senior stakeholders.

Technology & AI Application Development :

Design, develop, and maintain bespoke, scalable in-house applications for enhanced investment research and portfolio analytics.

• Integrate cutting-edge AI/ML models into financial workflows to achieve process automation and deeper analytical capabilities.
• Manage large, diverse datasets by establishing robust data pipelines, working with APIs, and maintaining database integrity.
• Ensure code quality, documentation, and version control across all developed solutions.

Collaborative Solution Implementation

Partner with research analysts, fund managers, and external data providers to precisely define business requirements.

• Translate complex financial needs into functional, architecturally sound, and tech-driven solutions.

2) Required Skills

• Financial Acumen: A fundamental understanding of financial markets, asset classes, and key economic/market statistics.
• Technical Proficiency: Strong programming skills in Python (preferred), Node.js, or equivalent. Experience with standard AI/ML frameworks is essential.
• Data Handling: Proven expertise in working with databases, APIs, and managing data storage solutions (cloud or local).
• Problem Solving: Demonstrated ability to deconstruct complex investment problems and conceptualize effective technical solutions.
• Communication: Exceptional skills in technical documentation, presentation, and clear articulation of both technical architecture and financial implications.