Business Analyst - Generative AI

Newtuple Technologies; Pune District; Vor Ort; INR 900.000 - 1.400.000; Vollzeit

Zusammenfassung

Newtuple Technologies is seeking a Business Analyst to bridge business needs with AI-driven solutions. You will gather requirements, analyze processes, and design AI-first solutions in collaboration with product managers, data scientists, and AI engineers.

The role focuses on identifying opportunities for automation and value through GenAI-enabled features. The candidate will map workflows, perform ROI analysis, and help define product roadmaps, PRDs, and acceptance criteria.

Qualifikationen

• Experience gathering and documenting business requirements.
• Ability to translate business problems into AI/GenAI use cases.
• Knowledge of AI concepts (NLP, computer vision) and GenAI fundamentals.

Aufgaben

• Elicit and document requirements with stakeholders.
• Translate requirements into AI/GenAI features and roadmaps.
• Write PRDs, user stories, and acceptance criteria.
• Support testing and validation of AI/GenAI models.
• Stay updated on AI trends and competitor offerings.

Kenntnisse

Requirements analysis

Stakeholder management

Data-driven decision making

Ausbildung

Bachelor’s or Master’s in related field

Tools

JIRA

Confluence

PowerBI/Tableau

Python/SQL

Jobbeschreibung

At Newtuple Technologies, we are driving innovation at the intersection of business and cutting-edge technologies. With a strong focus on Artificial Intelligence (AI) and Generative AI (GenAI), we build solutions that empower organizations to transform operations, unlock new opportunities, and deliver value at scale.

We are looking for a Business Analyst (BA) who can bridge business needs with AI-driven solutions, ensuring that our products and services align with evolving market demands and client expectations.

Role Overview

As a Business Analyst, you will play a critical role in gathering requirements, analyzing business processes, and designing AI-first solutions. You will collaborate closely with product managers, data scientists, AI engineers, and stakeholders to define use cases and translate them into actionable product roadmaps.

A strong understanding of AI and GenAI applications will be essential in identifying opportunities where automation and intelligence can add measurable business value.

Key Responsibilities

• Requirement Analysis & Elicitation
• Work with stakeholders to capture, document, and validate business requirements.
• Translate business problems into AI/GenAI-driven use cases and product features.
• Prompt engineering and Agent development
• Work with business and technology teams in writing detailed prompts that will be deployed to AI applications
• Understand how to architect and deploy agents for business use cases
• AI/GenAI Solution Scoping
• Identify opportunities where AI (predictive models, NLP, computer vision) and GenAI (chatbots, copilots, content generation, automation) can be applied.
• Support feasibility studies by collaborating with data science and engineering teams.
• Process & Gap Analysis
• Map existing workflows and propose AI-enhanced processes.
• Perform cost-benefit and ROI analysis for AI initiatives.
• Stakeholder Communication
• Act as the liaison between technical teams and business units.
• Present insights, prototypes, and reports to stakeholders in a clear, data-driven manner.
• Product Development Support
• Contribute to the creation of PRDs, user stories, and acceptance criteria.
• Support testing and validation of AI/GenAI models in real-world scenarios.
• Market & Competitive Research
• Stay updated on AI and GenAI trends, tools (e.g., OpenAI, Anthropic, Hugging Face, LangChain), and competitor offerings.
• Recommend innovations that align with business strategy.

Required Skills & Qualifications

• Educational Background: Bachelor’s or Master’s degree in Business Administration, Computer Science, Data Analytics, or a related field.
• Experience: 4+ years as a Business Analyst or Product Analyst, preferably in AI/ML-driven products.
• Knowledge of AI & GenAI:
• Familiarity with AI concepts such as NLP, computer vision, recommender systems, and conversational AI.
• Awareness of Generative AI applications (LLMs, prompt engineering, content creation, AI copilots).
• Analytical Skills: Strong ability to analyze business workflows, identify gaps, and propose improvements.
• Technical Acumen: Basic understanding of data pipelines, APIs, and AI model lifecycle.
• Tools: Proficiency in tools like JIRA, Confluence, Tableau/PowerBI, and knowledge of Python/SQL (good-to-have).
• Soft Skills: Strong communication, stakeholder management, and documentation skills.

Preferred (Nice-to-Have)

• Exposure to cloud platforms (AWS, GCP, Azure) with AI/ML services.
• Understanding of MLOps and AI governance.
• Experience in building or deploying chatbots, copilots, or GenAI-powered assistants.