Strategy Analytics Associate — AI-Driven M&A Insights

KPMG Financial Reporting View (FRV); Los Angeles (CA); Hybrid; USD 90,000 - 105,000; Full time

Job summary

KPMG is seeking an Advisory Associate for our Advisory practice in the United States. You will apply advanced data analytics on large datasets to inform deal-related decisions, develop industry-specific insights, and translate findings into high-impact recommendations for executive leadership.

The role supports a multi-disciplinary analytics team with emphasis on ML, data science, and design. The position offers a flexible work arrangement with potential office, client-site, or remote work, and

Qualifications

• Bachelor's or Master's in a quantitative field such as Data & Analytics, Statistics, Mathematics, Information Technology, Computer Science, Operations Research, Engineering, Data Science or other related field
• GPA of 3.0 or above
• Experience with Python and data tools (SQL, R, Alteryx) is preferred

Responsibilities

• Use the latest data analytics techniques on large data sets to answer deal-related (M&A) problems for some of the largest US companies and industries
• Develop industry and business-specific insights using custom workflows, databases and analytical procedures to advance engagements and business deals
• Execute research on business and data nuances relevant to a client's industry
• Assist in rapidly translating analytical findings into impactful and cutting-edge C-suite recommendations
• Support a multi-disciplinary analytics team with a specialization in machine learning, data science and design

Skills

Data analytics

Python experience

Critical thinking

Communication skills

Education

Bachelor's or Master's in quantitative field

GPA 3.0+

Tools

Python

SQL

R

Alteryx

PowerBI

Tableau

Excel

Job description

KPMG is seeking an Advisory Associate for our Advisory practice in the United States. You will apply advanced data analytics on large datasets to inform deal-related decisions, develop industry-specific insights, and translate findings into high-impact recommendations for executive leadership.

The role supports a multi-disciplinary analytics team with emphasis on ML, data science, and design. The position offers a flexible work arrangement with potential office, client-site, or remote work, and