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About the Role
KPMG is seeking an Advisory Associate for its Advisory practice, focusing on leveraging AI and digital innovation to deliver intelligent, data-driven solutions for clients. This role is part of a people-first approach that invests in continuous learning and fosters growth and collaboration.
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.
Requirements
- Must be pursuing and have obtained by the start date or have completed a Bachelor's or Master's degree in a quantitative field such as Data & Analytics, Statistics, Mathematics, Information Technology, Computer Science, Operations Research, Engineering, Data Science or other related field.
- Must have a current/most recent GPA of 3.0 or above.
- Must have experience with Python.
- Knowledge of one of the following data manipulation tools: SQL, R, Alteryx.
- Knowledge of PowerBI or Tableau is a plus.
- Strong technical, business acumen, critical thinking, and agility skills.
- Demonstrated ability to excel and drive strategic outcomes, coupled with a professional demeanor and a collaborative leadership approach, in a dynamic, evolving environment.
- Ability to leverage common business technologies, including MS Office (with an emphasis on Excel) and AI, and quickly learn KPMG tools and applications used by our clients.
- Strong communication, organization, and relationship-building skills.
- Ability to apply professional judgment and skepticism.
- Ability to manage priorities across multiple tasks and deliver high-quality work in a professional services capacity.
- Must reside within a commutable distance of the office for this position and be responsible for your own transportation.
- Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.
- Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them.
- Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Skills
- Python
- SQL
- R
- Alteryx
- PowerBI
- Tableau
- MS Office (Excel)
- AI
Location
- U.S.
Work Type
- Onsite
- Client sites
- Virtual/Remote
Experience Level
- Early Career
Education Level
- Bachelor's degree
- Master's degree
Salary/Compensations
- California Salary Range: $90000 - $105000
Benefits
- Comprehensive, competitive benefits package
- Variety of medical and dental plans
- Vision coverage
- Disability and life insurance
- 401(k) plans
- Robust suite of personal well-being benefits
- Personal Time Off
- Paid holidays
About the Company
- At KPMG, we are not only keeping pace with the future of business; we are defining it. Harnessing the full power of AI and digital innovation, we deliver intelligent, data-driven solutions to help our clients navigate change and transform their competitive edge.
- KPMG LLP and its affiliates and subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges.
- KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled.
Equal Opportunity
- KPMG is an equal opportunity employer.
- KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring.
- All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state, or local laws.