Business Analysist Business Intelligence

Job Description – Business Analyst (BI & AI)

1. About the Role

We are looking for a Business Analyst – BI & AI who can bridge the gap between business requirements, product teams, technology teams, and data-driven decision-making.

The candidate should have strong analytical and documentation skills, with hands-on exposure to BI, AI, data visualization, and productivity tools. The role will involve understanding business requirements, converting them into structured product requirements, preparing BRDs/FRDs/User Stories, analyzing business data, and coordinating with cross-functional teams for successful implementation.

The ideal candidate should be comfortable working across Product, Development, QA, UI/UX, Support, Sales, and Business teams.

2. Key Responsibilities

Business Analysis & Requirement Management

• Understand business processes, user needs, and product requirements.
  
• Gather, analyze, and document functional and business requirements.
  
• Prepare and maintain:
  
• Business Requirement Documents (BRD)
  
• Functional Requirement Documents (FRD)
  
• User Stories
  
• Acceptance Criteria
  
• Process Flows / Workflows
  
• Use Cases
  
• Functional Specifications
  
• Identify gaps, dependencies, assumptions, and potential edge cases in requirements.
  
• Convert business requirements into clear and implementation-ready specifications.
  
• Participate in requirement discussions with internal and external stakeholders.
  

BI & Data Analysis

• Work with business data to identify trends, patterns, anomalies, and insights.
  
• Prepare dashboards, reports, and analytical views using BI tools.
  
• Understand data sources, data relationships, KPIs, and business metrics.
  
• Work with various databases to extract and validate data.
  
• Support creation of business dashboards and management reports.
  
• Analyze existing reports and recommend improvements based on business requirements.
  
• Validate data accuracy between source systems, reports, and dashboards.
  

AI & Productivity Tools

• Explore and utilize AI tools to improve requirement analysis, documentation, data analysis, reporting, and productivity.
  
• Use AI-assisted tools for:
  
• Requirement analysis
  
• User Story creation
  
• Documentation
  
• Data analysis
  
• Report/dashboard ideation
  
• Process optimization
  
• Stay updated with emerging AI, BI, analytics, and automation tools.
  
• Identify practical opportunities where AI can improve business processes and product capabilities.
  

Cross-Functional Coordination

• Coordinate effectively with Product, Development, QA, UI/UX, Sales, Support, and other departments.
  
• Act as a bridge between business stakeholders and technical teams.
  
• Clarify requirements and resolve functional ambiguities during development and testing.
  
• Participate in sprint planning, requirement walkthroughs, UAT, and product demonstrations.
  
• Track requirement changes and communicate their impact to relevant stakeholders.
  

Product & Process Analysis

• Study existing product workflows and identify improvement opportunities.
  
• Analyze business processes and suggest process optimization.
  
• Identify functional gaps and translate them into product enhancement requirements.
  
• Support product teams in defining new features and improving existing functionality.
  
• Ensure requirements are aligned with business objectives and end-user expectations.
  

3. Required Skills

Must Have

• 1+ year of experience as a Business Analyst / Product Analyst / Functional Analyst / BI Analyst.
  
• Strong understanding of business analysis concepts and requirement gathering.
  
• Good knowledge of BRD, FRD, User Stories, Acceptance Criteria, and process documentation.
  
• Strong analytical and problem-solving skills.
  
• Good understanding of data and business reporting.
  
• Hands-on exposure to at least one BI / visualization tool such as:
  
• Power BI
  
• Tableau
  
• Similar BI platforms
  
• Basic to intermediate knowledge of Databases.
  
• Good understanding of databases and data structures.
  
• Strong communication and stakeholder management skills.
  
• Good proficiency in MS Excel / Google Sheets.
  
• Ability to work with cross-functional teams.
  

Preferred

• Exposure to AI tools such as ChatGPT, Microsoft Copilot, Gemini, Claude, Lovable, or similar tools.
  
• Experience using AI for business analysis, documentation, data analysis, or productivity.
  
• Knowledge of APIs and system integrations.
  
• Good understanding of REST APIs and JSON.
  
• Understanding of Agile / Scrum methodology.
  
• Experience working with Gitlab or similar project management tools.
  
• Experience in enterprise software/product development.
  
• Basic understanding of UI/UX and application workflows.
  

4. Key Competencies

• Business & Functional Analysis
  
• Analytical Thinking
  
• Data Interpretation
  
• BI & Dashboard Development
  
• AI Tool Adoption
  
• Requirement Documentation
  
• Problem Solving
  
• Process Understanding
  
• Stakeholder Management
  
• Cross-Functional Coordination
  
• Communication Skills
  
• Attention to Detail
  
• Product Thinking
  

5. Educational Qualification

• Bachelors degree in Computer Science, Information Technology, Business Administration, Engineering, Data Analytics, or a related field.
  
• Additional certification in Business Analysis, BI, Data Analytics, or AI will be an advantage.
  

6. What We Expect From the Candidate

The candidate should be able to independently take a requirement from:

Business Requirement → Requirement Analysis → BRD/FRD → User Stories → Development Clarification → QA/UAT Support → Business Validation

At the same time, the candidate should be able to work with business data and BI tools to:

Data → Analysis → Insight → Dashboard/Report → Business Decision

The ideal candidate is therefore not only a documentation-focused BA, but someone who can understand the business, analyze data, leverage AI tools, and work closely with technology teams to deliver practical product solutions.

7. Experience

Preferred: 1–3 years

Candidates with strong analytical skills, good BI/AI tool exposure, and excellent requirement/documentation capabilities may be considered even if their experience is slightly below the preferred range.