University Associate — Forensic Data & Analytics

Ankura; Town of Lexington (NY); On-site; USD 50,000 - 120,000; Full time

Job summary

Ankura in New York is seeking an Associate to join the Risk Advisory and Forensic & Data Analytics teams. You will work on data aggregation, cleansing, and analysis of financial and operational data, and create visualizations for client deliverables.

The role emphasizes collaboration, meeting deadlines, and developing technical skills in SQL, Python, and BI tools, with opportunities for training and mentorship within a growing firm.

Qualifications

• Bachelor’s degree with strong academic performance between December 2026 and June 2027.
• Interest or experience using technology to solve complex data problems.
• Ability to work in a dynamic, fast-paced team environment.
• Strong attention to detail and organizational skills.
• Experience with SQL, Python, and data visualization tools preferred.

Responsibilities

• Deliver on day-to-day engagement activities with team members and clients.
• Aggregate, cleanse, and normalize disparate data sources.
• Analyze historical financial, operational, and transactional data.
• Create summaries, data visualizations, and written analyses.
• Document processes and support lifecycle projects.
• Participate in internal and external team meetings and manage deadlines.

Skills

SQL

Python

Data Visualization

Tableau

Power BI

ETL

Relativity

Teamwork

Communication

Problem-Solving

Education

Bachelor’s Degree in Computer Science, Business Analytics, Data Analytics, MIS, Mathematics, Finance, Accounting, Economics, Statistics

Tools

MS SQL

Oracle

MySQL

SSIS

Pentaho

Relativity

Job description

Ankura in New York is seeking an Associate to join the Risk Advisory and Forensic & Data Analytics teams. You will work on data aggregation, cleansing, and analysis of financial and operational data, and create visualizations for client deliverables.

The role emphasizes collaboration, meeting deadlines, and developing technical skills in SQL, Python, and BI tools, with opportunities for training and mentorship within a growing firm.