AVP, Data-Driven Operations & Analytics

Houlihan Lokey, Inc.; New York, Northern (NY, KY); Hybrid; USD 150,000 - 200,000; Full time

Job summary

Houlihan Lokey, Inc. in New York, NY is seeking an Associate Vice President, Business Operations & Analytics to lead data-driven operations within the Data Strategy Group.

You will partner with Product Marketing and Corporate teams to optimize resource allocation, vendor spend, and technology investments, delivering measurable business value. The role requires a strong background in finance and analytics, advanced Excel, SQL, Python, and BI tools, plus the ability to communicate complex metrics

Qualifications

• Bachelor’s degree in a quantitative field required.
• Proven BizOps or analytics experience with data-driven decision making.
• Excel (including VBA), SQL, Python, and BI/dashboard tools experience required.

Responsibilities

• Collaborate with DSG leadership to build data-driven operational plans and budgets.
• Develop cost-benefit models and ROI frameworks for vendor transitions and tech investments.
• Support measurement and adoption of internal tools and conduct AI-assisted analyses to improve product adoption.
• Translate engineering and operational data into executive-ready narratives for finance and audits.
• Analyze software delivery data to identify bottlenecks and improve timelines.

Skills

Advanced Excel (VBA)

SQL

Python

BI & Dashboards (Tableau, Sigma, Power

Stakeholder management

Education

Bachelor’s degree in Finance, Economics, Data Science, Statistics, or Mathematics

MBA or MS preferred (CFA/CPA optional)

Tools

Tableau

Tableau Server

Sigma

Power BI

Job description

Houlihan Lokey, Inc. in New York, NY is seeking an Associate Vice President, Business Operations & Analytics to lead data-driven operations within the Data Strategy Group.

You will partner with Product Marketing and Corporate teams to optimize resource allocation, vendor spend, and technology investments, delivering measurable business value. The role requires a strong background in finance and analytics, advanced Excel, SQL, Python, and BI tools, plus the ability to communicate complex metrics