M&A Analyst

Overview

Support the Data Team within Accenture's Global Corporate Development Research function by building M&A acquisition landscapes and automating reporting that informs global leadership's investment decisions, with a focus on applied AI.

What you'll do

• Support building M&A acquisition landscapes used by global leadership to decide where to invest, including market analysis, target shortlists, company profiling and priority sector mapping, in collaboration with local and global strategy teams.
• Support maintenance of the team's data and tooling ecosystem across the Microsoft Power Platform, including Power BI dashboards, Power Apps model-driven applications, Dataverse models and Power Automate workflows, Claude Artifacts & Skills, and dedicated software.
• Test and prototype agents, integrate LLMs into research and analysis workflows, and evaluate new tooling as it emerges.
• Automate reporting required by senior leadership and communicate insights clearly and concisely.
• Prepare strategic decks and analysis to support local and global leadership in M&A decision-making.
• Execute data projects that improve and streamline processes across other Corporate Development teams, partnering with different capabilities as priorities evolve.
• Support process improvement initiatives including ETL optimization, KPI design, complex visualizations, internal and external data integrations, and process automation.

What you'll need

• 3+ years of experience in market research or M&A research, financial due diligence, financial analysis, reporting and business intelligence applied to finance, or relevant consulting or corporate background.
• 2+ years working as a software engineer with exposure to the data lifecycle and software lifecycle.
• Finance background is a must.
• Bachelor's in Finance, Business Administration, Accounting, Economics, or similar.
• Advanced Python and SQL.
• Working knowledge of Jira, Git, Azure DevOps, Power Apps, Power Automate, Power BI, Claude MCP and API management.
• Advanced English.
• Strong oral and written communication skills.

Nice to have

• Experience integrating LLMs via API (OpenAI, Anthropic, Azure OpenAI) or building AI-assisted agents and workflows.
• Data science or machine learning experience.
• Skilled user of Microsoft Office, especially Excel and PowerPoint.
• Experience with research databases such as CapitalIQ, PitchBook and CB Insights.
• Advanced Spanish.

Details

• Location: Gurugram, India.
• Interviews are conducted on a rolling basis.