TetriQ Solutions

Business Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a long-term Business Analyst position in Private Equity (PE) with AI, based in NY (onsite 3 days/week). Key skills include business analysis, ETL, UAT, and AI/ML solutions. Experience in Private Equity is required. Pay rate is unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 15, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New York, NY
-
🧠 - Skills detailed
#Monitoring #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Business Analysis #ML (Machine Learning) #Compliance #Data Science #UAT (User Acceptance Testing)
Role description
Hi, Greetings from Tetriq Solutions! Hope you are doing great today! My name is Vamshi & I am glad to post for the below mentioned Job that I have with one of our clients. I would appreciate it if you can let me know about your interest in pursuing it or if you know anyone who might be a good fit. Title: Business Analyst-Private Equity (PE) with AI Location: NY (onsite-3 days) Duration: Long Term Job description: We are seeking an experienced Business Analyst with strong Private Equity (PE) domain expertise and exposure to Artificial Intelligence (AI) to support business transformation initiatives. The candidate will work closely with business stakeholders, technology teams, and data teams to analyze requirements, implement AI-driven solutions, and improve investment decision-making and operational efficiency. Key Responsibilities • Work with Private Equity business stakeholders to gather, analyze, and document business requirements. • Translate business needs into functional and technical specifications for development teams. • Support the implementation of AI/ML-driven analytics solutions for investment analysis, portfolio monitoring, and risk assessment. • Analyze financial data, investment portfolios, and fund performance metrics. • Collaborate with data science, engineering, and product teams to implement AI-enabled solutions. • Facilitate workshops, stakeholder meetings, and requirement discussions. • Support UAT (User Acceptance Testing) and validate solutions with business teams. • Ensure solutions align with Private Equity operational workflows and compliance requirements.