Job
Description
Assist in performing data-driven analysis for Financial Due Diligence (FDD), M&A transactions, and other advisory engagements. Work with large, complex datasets from various sources, ensuring data integrity, quality, and transformation for analytical use cases. Write optimized SQL queries for data extraction, transformation, and performance tuning in financial data analysis. Develop interactive dashboards in Power BI, leveraging DAX, Power Query (M), and data modeling best practices to generate actionable insights. Utilize Alteryx for ETL automation, data blending, and advanced analytics workflows to streamline due diligence processes. Collaborate with transaction advisory teams to develop financial models, visualizations, and custom analytics solutions. Ability to adapt and learn new technologies. Mandatory Requirements Advanced SQL (MS SQL / MySQL) - Ability to write, debug, optimize, and tune queries for financial and operational datasets. Power BI expertise - Hands-on experience with DAX, Power Query (M), advanced visualizations, and data modeling. Alteryx experience - Exposure to data wrangling, automation, and advanced analytics workflows using Alteryx Designer. Understanding of Due Diligence processes - Exposure to Financial Due Diligence (FDD), transaction analytics, or related financial workflows. Bonus points for Consulting background - Prior experience in transaction advisory, consulting engagements, or financial services. Front-end development skills (React, Angular, or Power Apps) for interactive applications. Machine Learning experience related to financial modeling, predictive analytics, or risk assessment. Python (Pandas, NumPy) or R for statistical analysis in due diligence. Skills and attributes To qualify for the role you must have Qualification MBA from a premier institute (Tier-I Indian B-school) with good academic background and high scores in finance/ economics and management subjects Experience 4 + years experience, preferrably Consutling firms
