Business Analyst AI
- Source: Naukri
- Experis
- On-site
- Bengaluru
- Full-Time
- Mid level
Job Description
Role: Business Analyst AI
Level: L4 / L5
Notice Period: Immediate Joiner
Experience: 9 - 15 Years
Location : Pan India
Role Summary
The Business Analyst – AI Initiatives will be responsible for driving the planning, analysis, and delivery of AI-enabled and data-driven solutions. The role requires close collaboration with business stakeholders, data science teams, technology teams, and external vendors to define requirements, support AI/ML initiatives, and ensure successful solution delivery.
Mandatory Skills
- Business Analysis
- Requirements Gathering
- Stakeholder Management
- AI/ML Concepts
- SQL
- Data Analysis
- User Acceptance Testing (UAT)
- Agile Methodology
- Project Management
- Data Governance
- Data Quality Management
- Data Visualization (Tableau / Power BI)
Roles & Responsibilities
- Act as the primary liaison between business stakeholders and technology teams for AI-enabled solutions.
- Gather, analyze, document, and manage business, functional, data, and analytical requirements.
- Identify and prioritize AI and data-driven opportunities that deliver business value.
- Translate business problems into structured AI/ML use cases, including inputs, outputs, and success metrics.
- Facilitate requirement workshops, design discussions, and model validation sessions.
- Collaborate with data scientists, ML engineers, and development teams throughout the solution lifecycle.
- Support AI solution implementation, testing, deployment, and adoption.
- Coordinate User Acceptance Testing (UAT) and validate outputs against business expectations.
- Monitor solution performance and recommend continuous improvements.
- Manage relationships with business teams, technology teams, and third-party vendors.
- Prioritize enhancement requests and support change management initiatives.
- Ensure compliance with SDLC processes, governance standards, audit requirements, and regulatory guidelines.
- Prepare user documentation, training materials, and process documentation.
- Participate in feasibility assessments and evaluation of AI technologies and vendor solutions.
AI & Data Skills
- Understanding of AI/ML concepts, predictive modeling, optimization, and recommendation systems.
- Familiarity with AI/ML lifecycle including data preparation, model training, validation, deployment, and monitoring.
- Knowledge of model performance metrics such as forecast accuracy, precision, recall, and lift.
- Experience supporting business validation of AI model outputs.
- Understanding of A/B Testing and experimentation frameworks.
- Knowledge of AI governance, explainability, bias, and ethical AI principles.
- Understanding of GDPR, data privacy, and data governance practices.
Technical Skills
- SQL
- Tableau
- Power BI
- Data Analysis Tools
- Python (Preferred)
Preferred Experience
- Media Industry
- Digital Platforms
- Ad Sales
- AdTech Ecosystem
- Programmatic Advertising Platforms
- Forecasting Solutions
- Optimization Engines
- Recommendation Systems
Eligibility Criteria
- L4: 9–12 years of experience.
- L5: 12–15 years of experience.
- Strong experience in Business Analysis for technology, data, or AI-driven projects.
- Experience working with business stakeholders, data teams, and technology teams.
- Strong communication, presentation, analytical, and problem-solving skills.
- Experience in Agile project delivery environments.
- Experience with AI/ML initiatives, analytics platforms, or data-driven products preferred.
Skills
- Tableau
- power-bi
- Python
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