Business Analysist, Business Intelligence
Spectra Technovision (India) Pvt. Ltd. · spectra-vision.com
Ahmedabad
The job in short
Business intelligence analyst.
UX
Details
- Found
- 21 d ago · posted 2026-09-25
- Location as listed
- Ahmedabad, Gujarat, India
- Role
- Data / BI Analyst
- Source
- The company’s own careers site
Full description
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
• Bachelor's 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.
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