Technical Business Analyst - AI/ML and Data Science

Company Description zRanga LLC is a specialized staffing and talent solutions firm supporting both enterprises and small-to-medium businesses with high-quality technology and business professionals. Backed by over 50 years of combined industry experience, our team has a proven track record of enabling organizations—from Fortune 100 companies to growing SMEs, to scale efficiently and execute critical initiatives. We focus on delivering reliable, flexible, and cost-effective staffing solutions that help clients accelerate delivery, improve operational effectiveness, and achieve sustainable business outcomes across diverse industries. Role Description We are seeking an on-site, contract Technical Business Analyst (TBA) to work closely with Data Engineers, Data Scientists, Machine Learning Engineers, and Product teams to support the delivery of scalable, data-driven solutions. This role is ideal for someone who sits comfortably at the intersection of business problem-solving, data platforms, analytics, and AI/ML systems. You will translate complex business needs into clear technical requirements, support model-driven initiatives, and ensure successful delivery of analytics, predictive modeling, and AI-powered solutions across the enterprise. Candidates must be authorized to work without employer sponsorship, as visa sponsorship (including H-1B) is not available for this role. Key Responsibilities Business & Technical Analysis • Partner with business stakeholders to define objectives and translate them into clear technical, data, and functional requirements. • Elicit and document requirements for analytics, ML, and AI initiatives, including process flows, data mappings, and acceptance criteria. Data & AI Enablement • Collaborate with Data Engineers and Data Scientists on predictive modeling, time-series forecasting, ML/deep learning, and GenAI/LLM use cases. • Define data inputs, features, model outputs, KPIs, and success metrics. • Support production deployment by coordinating requirements across data, platform, and DevOps teams. Platform, Integration & Delivery • Support solutions involving data pipelines, REST APIs, databases, cloud platforms, and BI tools. • Act as a liaison between business, engineering, data, and product teams to ensure alignment. • Participate in Agile ceremonies, support UAT, and validate delivered solutions against business expectations. Required Qualifications • Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Information Systems, or a related field. • 3–5+ years of experience in a Technical Business Analyst, Data Analyst, or hybrid Data/BA role. • Strong understanding of data engineering and analytics concepts, including: • Data modeling and databases (SQL, relational & NoSQL concepts) • ETL/ELT and data pipelines • Hands-on experience or strong working knowledge of: • Python, SQL, and analytical libraries (Pandas, NumPy, etc.) • Machine learning concepts (regression, classification, forecasting) • Experience working with AI/ML or Data Science teams on real-world use cases. • Familiarity with REST APIs, system integrations, and Azure cloud platforms • Excellent communication skills with the ability to translate technical concepts for non-technical stakeholders.