Nasscomm

W2 Only|Business Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a W2 Business Analyst with a 6-month hybrid contract, offering competitive pay. Key skills include data engineering, AI solutions, and business analysis. A bachelor's degree and 3 years of relevant experience are required.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
June 16, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
New York, United States
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🧠 - Skills detailed
#Data Engineering #Computer Science #Kafka (Apache Kafka) #ML (Machine Learning) #AI (Artificial Intelligence) #Monitoring #Batch #Alation #Business Analysis #Compliance #Documentation #Qlik #Security #Stories #Data Lineage #Scala #"ETL (Extract #Transform #Load)" #Data Ingestion
Role description
Job Title: Business Analyst|W2 Only Duration: 6 months Location : Hybrid 2 Days - Deloitte Office can be any US-based office As a Business Analyst Contractor, you will support the project team by providing analytical expertise and ensuring the successful delivery of project objectives. Conduct research and gather data to support project objectives and decision-making. Analyze and document business processes, requirements, and workflows. Develop and maintain project documentation, including requirements specifications, process maps, and user stories. Assist in the development of project plans, timelines, and deliverables. Prepare and deliver presentations and reports to communicate findings and recommendations to stakeholders. As a Business Systems Analyst, you will act as a liaison between IS and divisional stakeholders to maintain, enhance, and integrate firm systems, data, and AI-enabled capabilities. You will proactively identify enterprise technology opportunities and/or serve on formal project teams to deliver new systems, data products, and AI solutions. Your role involves translating complex business needs into clear, testable specifications for data, engineering, and AI/ML teams. Responsibilities β€’ Develop a deep understanding of how enterprise systems, data platforms, and AI services interactβ€”and how changes affect firm operations and initiatives. β€’ Partner with stakeholders to define AI use cases and success measures; document current-state pain points and future-state workflows. β€’ Elicit and translate requirements into actionable specifications (functional and non-functional), including data readiness, performance, availability, and auditability needs for AI-enabled features. β€’ Map data structures and elements to business processes, ensuring accurate documentation of data lineage, definitions, usage, and access controls. β€’ Create and maintain artifacts such as business process models, data flow diagrams, prototypes, business requirements, use cases/user stories, acceptance criteria, and test cases. β€’ Support AI solution design by documenting model inputs/outputs, decision points, human-in-the-loop steps, and integration patterns (e.g., APIs, event streaming, batch pipelines). β€’ Partner with data and AI/ML teams on model lifecycle needs: training/validation data requirements, evaluation criteria, monitoring requirements (e.g., drift, performance), and operational handoffs. β€’ Collaborate with risk, privacy, security, and compliance stakeholders to capture AI-related controls and governance requirements (e.g., data handling, model transparency/explainability expectations, escalation paths). β€’ Analyze the lifecycle of financial transactions (e.g., checks, wires, ACH), tracking data generation, transformation, and consumption to support analytics and AI use cases. β€’ Gain proficiency in data ingestion tools (e.g., Qlik Replicate) and streaming platforms (e.g., Kafka) and help define requirements for reliable, scalable data movement. β€’ Execute and present written and verbal business systems impact analyses that identify high-impact, systemic solutions. β€’ Help reinforce Business Systems Analyst principles and practices across the team (standards, templates, requirement quality, and test readiness). Role requirements β€’ Minimum 3 years of experience designing and implementing functional systems and structured data processes. β€’ Bachelor’s degree required; emphasis in Computer Science or MIS preferred (or equivalent work experience). β€’ Experience translating requirements for data engineering, integrations, and/or analytics solutions.