Senior Analyst - Data Analyst

Macquarie; Gurugram District; On-site; INR 700,000 - 1,100,000; Full time

Job summary

Macquarie in Gurugram is seeking a data-oriented analyst to translate requirements into data-driven solutions across governance, analytics and reporting. You will work with stakeholders and technology teams to deliver end-to-end data initiatives, gaining exposure to enterprise data platforms and AI-enabled capabilities while contributing to design, testing and implementation.

The role requires 2-4 years in Business/Data Analysis within Financial Services, with strong SQL and Power BI skills, and

Qualifications

• Bachelor's degree in finance, accounting, computer science, mathematics, statistics, economics, technology, or engineering.
• 2-4 years of experience in Business Analysis, Data Analysis, Data Management, Reporting, or related roles within Financial Services.
• Strong SQL skills with experience in data validation and analysis.
• Experience with Power BI or similar visualization tools; exposure to AI-enabled analytics is advantageous.
• Familiarity with Collibra, Jira or Confluence is desirable.

Responsibilities

• Translate requirements into data-driven solutions across governance, quality, analytics and reporting.
• Collaborate with stakeholders and technology teams to deliver end-to-end data initiatives.
• Support solution design, testing and implementation of data platforms and AI-enabled capabilities.

Skills

Business Analysis

Data Analysis

Data Management

Reporting

Financial Technology

SQL

Education

Bachelor's degree in finance / accounting / CS / math / statistics / economics / engineering

MBA (Finance) / CA / CFA

Tools

Power BI

Collibra

Jira

Confluence

Job description

Job Summary

The Central Data Technology (CDT) partners across Macquarie to deliver enterprise data, technology, analytics, governance and innovation capabilities that enable trusted decision-making, operational efficiency and business growth. Within CDT, the Data team collaborates with stakeholders across business and technology to deliver high-quality data products, governance and self-service analytics solutions, offering an exciting opportunity to help shape the organizations data-driven future.

What role will you play

In this role, you will support data and reporting initiatives that deliver trusted insights and drive business outcomes across Macquarie. Working closely with business stakeholders, technology teams and data producers, you will translate requirements into data-driven solutions across the data lifecycle, including governance, quality, analytics and reporting. You will also gain exposure to enterprise data platforms, AI-enabled capabilities and strategic data initiatives while contributing to solution design, testing and implementation.

What you offer

• Bachelor s degree in finance, accounting, computer science, mathematics, statistics, economics, technology, engineering, or other related field; MBA (Finance), CA, CFA qualification is also advantageous.
• 2-4 years experience in Business Analysis, Data Analysis, Data Management, Reporting, Financial Technology, or a related role within Financial Services, with a proactive mindset, curiosity and commitment to continuous learning.
• Working knowledge of finance and data management concepts, financial reporting, enterprise data management, data sourcing, transformation, governance, reporting and analytics.
• Experience eliciting business requirements, documenting processes and supporting solution delivery, complemented by strong analytical, problem-solving, stakeholder management and communication skills.
• Strong SQL skills with experience analyzing, validating and reconciling datasets; experience with Power BI (or similar visualization tools) and exposure to Python or other analytical tools is advantageous.
• Familiarity with modern data and collaboration tools, including Generative AI and Microsoft Copilot, with experience using AI to enhance analysis, documentation and reporting; knowledge of Collibra, Jira or Confluence, and a relevant degree or professional qualification (e.g., MBA, CA, CFA, FRM) is desirable.