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🚀 KPMG Hiring Consultant 2026: Business Analyst Jobs in Bangalore & Gurgaon | Placement Officer
📌 Quick Summary
KPMG is hiring for a Consultant – Business Analyst role focused on the intersection of business analysis, Artificial
Intelligence (AI), Machine Learning (ML), advanced analytics and audit
transformation.
The opportunity is particularly attractive
for professionals who can bridge the gap between business stakeholders and
technology teams. The selected candidate will work with audit
professionals, data scientists, product managers and engineers to convert
business requirements into actionable technology solutions.
According to the job information
provided, the position carries Job Identification: 30047954, was posted
on July 22, 2026, requires a graduation-level qualification, is a
full-time position and has an application deadline of September 30,
2026.
⚠️ Important location note:
The headline supplied for this vacancy mentions Bangalore & Gurgaon,
while the detailed job information supplied lists Bangalore, Karnataka –
560103. Candidates should verify the final location shown on the official application
page before submitting their application.
This is not a conventional
entry-level Business Analyst opening. The description specifically asks for
experience as a Business Analyst or Product Analyst and experience involving AI,
machine learning or advanced analytics projects. Therefore, experienced
candidates and graduates with relevant project experience are likely to have a
stronger fit.
🏢 About the Opportunity
KPMG is one of the world's major
professional-services organizations, with businesses spanning areas such as
audit, tax and advisory. Its technology-focused work increasingly combines
professional services with data, analytics and emerging technologies.
For this particular role, the
emphasis is on helping transform audit processes through technology and
AI-enabled solutions.
That makes this opportunity
especially relevant to candidates interested in:
·
🤖
Artificial Intelligence
·
📊
Business Analytics
·
🧠
Machine Learning
·
🔍
Audit Technology
·
📈
Product Analytics
·
💼
Business Analysis
·
⚙️ Agile
Product Development
·
🛡️
Responsible AI
·
📋 Risk
& Compliance
·
📊
Data-driven decision-making
💼 KPMG Consultant – Business Analyst Job Details
|
Job Detail |
Information |
|
Company |
KPMG |
|
Position |
Consultant –
Business Analyst |
|
Job ID |
30047954 |
|
Job Type |
Full Time |
|
Job Level |
Consultant |
|
Job Category |
Business
Analysis / Consulting / AI & Analytics |
|
Degree Level |
Graduation |
|
Primary Location in supplied details |
Bangalore,
Karnataka – 560103 |
|
Headline Location |
Bangalore
& Gurgaon |
|
Posting Date |
July 22,
2026 |
|
Application Deadline |
September
30, 2026 |
|
Experience |
Business/Product
Analysis experience with AI/ML/Advanced Analytics exposure |
|
Preferred Certification |
IIBA/business
analysis certification |
|
Professional Qualification |
Accountancy
qualification desirable, not mandatory |
🔎 Detailed KPMG Job Description
The Consultant – Business Analyst
will play an important role in identifying business opportunities, translating
requirements into technology solutions and supporting the development and
adoption of AI-enabled solutions within audit-related processes.
The role requires someone who
understands both business requirements and emerging technology.
1. 🤝 Requirements Gathering & Stakeholder
Engagement
The candidate will work with:
·
Audit
professionals
·
Data
scientists
·
Product
managers
·
Engineers
·
Other business
stakeholders
The objective will be to understand
business challenges and convert them into clear and actionable requirements.
This includes:
·
Eliciting
requirements
·
Documenting
business needs
·
Refining
requirements
·
Identifying
business objectives
·
Defining
solution expectations
·
Establishing
measurable success criteria
2. 🧩 Converting Business Problems into Product
Requirements
One of the most important responsibilities
is translating complex business use cases into structured technology
requirements.
Candidates may be expected to
develop:
·
Feature
requests
·
User stories
·
Acceptance
criteria
·
Success
metrics
·
Business
requirements
·
Functional
requirements
·
Process documentation
A strong candidate should therefore
understand how to move from:
Business Problem → Requirement → User Story → Technology
Solution → Testing → Measurement
🤖 3. AI & Machine Learning Opportunity Assessment
The position has a strong AI/ML
component.
The selected candidate will support
the discovery and feasibility assessment of technology-enhanced opportunities,
particularly AI-driven solutions for audit processes.
This can involve:
·
Identifying
potential AI use cases
·
Understanding
available data sources
·
Evaluating
feasibility
·
Defining
expected business outcomes
·
Establishing
success metrics
·
Understanding
model limitations
·
Supporting
model evaluation
⭐ Unique Point
This makes the position
particularly interesting for Business Analysts transitioning into AI Product
Management, AI Consulting or Data & Analytics Consulting.
⚙️ 4. Collaboration with Engineering Teams
The Business Analyst will
collaborate with engineers to ensure that proposed solutions are practical and
aligned with:
·
Audit
objectives
·
Business
requirements
·
Operational
realities
·
Compliance
standards
·
Risk
requirements
The candidate therefore needs the
ability to communicate effectively with both business and technical
stakeholders.
🧪 5. User Testing & Feedback
The role also involves supporting:
·
User testing
·
Training
·
Feedback
collection
·
Model
evaluation
·
Continuous
improvement
Candidates should understand the
importance of feedback loops in technology product development.
Knowledge of UAT, test
scenarios, acceptance criteria and Agile development can therefore be
highly valuable.
📊 6. Solution Adoption & Performance Monitoring
The candidate may monitor:
·
Solution
adoption
·
Business
performance
·
User
engagement
·
Key
performance indicators
·
Business value
·
Model-related
performance indicators
Dashboards and stakeholder
engagement will be used to understand whether solutions are actually delivering
the expected value.
🛡️ 7. Responsible AI Governance
This is one of the most distinctive
aspects of the role.
The candidate will contribute to
responsible AI governance by helping stakeholders understand concepts such as:
·
Explainability
·
AI risk
·
Fairness
·
Responsible AI
·
Model
limitations
·
Business
accountability
💡 Career Advantage
Candidates with knowledge of AI
governance, AI ethics, model risk management and responsible AI frameworks
can potentially differentiate themselves from traditional Business Analyst
applicants.
👨💼 8. Additional Consultant Responsibilities
The role can also include broader
consulting responsibilities such as:
·
Supervising
teams
·
Coaching team
members
·
Technical risk
management
·
Compliance
management
·
Operational
management
·
Quality
management
·
Project
management
·
Budget
planning
·
Project
planning
·
Preparing
quality reports
·
Performance
management
Therefore, candidates should
demonstrate not only analytical ability but also leadership, consulting and
stakeholder-management skills.
🎓 KPMG Consultant Eligibility Criteria
According to the supplied job
description, candidates should possess a:
·
Bachelor's
degree or
·
Master's
degree
in areas such as:
·
Business
·
Artificial
Intelligence
·
Machine
Learning
·
Analytics
·
Data Science
·
Related
disciplines
Preferred Qualifications
Business Analysis certifications
such as IIBA-related credentials are strongly preferred.
A professional accountancy
qualification from a recognized accountancy body is desirable but not
mandatory.
💰 Expected Salary for KPMG Consultant / Business Analyst
KPMG does not provide a salary
figure in the supplied job description.
Available salary-reporting sources
provide a useful benchmark, although these are employee-reported/estimated
figures rather than an official KPMG salary offer.
Glassdoor's current KPMG Consultant
data shows a reported India base-pay range of approximately ₹5 lakh–₹12 lakh per
year, with an average base pay around ₹8 lakh and additional pay reported separately.
For KPMG Business Analysts in
Gurgaon, recent reported salaries include examples around ₹9–11 lakh for 1–3 years' experience and approximately ₹11–15 lakh
for some 4–6 year profiles.
Other salary data for KPMG India
indicates Business Analyst compensation can extend considerably higher
depending on experience and role level.
💵 Reasonable Expected Range
Based on the role's Consultant
designation + AI/ML/business-analysis requirements, a practical
market-oriented expectation could be:
₹8 LPA – ₹18 LPA+
Candidates with strong AI
consulting, product analytics, advanced analytics or relevant consulting
experience could potentially command compensation toward the upper end or
beyond this range.
⚠️ Salary Disclaimer: This
is an estimate based on publicly available salary data and the responsibilities
in the supplied vacancy. Actual KPMG compensation can vary significantly based
on experience, business unit, skills, location, interview performance and
internal compensation structure.
🧠 Essential Skills Required to Get This Job
⭐ Technical & Analytical Skills
Candidates should develop strong
knowledge of:
1.
Business
Analysis
2.
Requirements
Engineering
3.
User Stories
4.
Acceptance
Criteria
5.
Agile
Methodology
6.
Product
Development Lifecycle
7.
Artificial
Intelligence
8.
Machine
Learning fundamentals
9.
Advanced
Analytics
10. Data interpretation
11. Data-driven decision-making
12. Dashboarding
13. UAT
14. Process mapping
15. KPI and success-metric development
🤖 AI/ML Skills
You do not necessarily need to be
an ML engineer.
However, you should understand:
·
Machine
learning lifecycle
·
Model training
·
Model
validation
·
Model
deployment
·
Model
monitoring
·
AI use-case
identification
·
Data
requirements
·
Model outputs
·
Model
limitations
·
Evaluation
metrics
·
Explainability
·
AI risks
·
Fairness
·
Responsible AI
Key principle:
You need to understand AI well enough to translate between
business stakeholders and technical teams.
📋 Business Analysis Skills
A strong candidate should be
comfortable with:
·
BRD
·
FRD
·
User stories
·
Acceptance
criteria
·
Requirement
traceability
·
Process flows
·
Stakeholder
mapping
·
Gap analysis
·
Use-case
analysis
·
Functional
requirements
·
Non-functional
requirements
·
UAT
·
Business
process improvement
📊 Data & Analytics Skills
Knowledge of the following can
strengthen your profile:
·
SQL
·
Excel
·
Power BI
·
Tableau
·
Python basics
·
Data visualization
·
Statistical
concepts
·
KPI design
·
Data
interpretation
You don't necessarily need to be an
advanced programmer, but data literacy is highly valuable.
🛡️ Responsible AI & Risk Skills
Because the role involves
responsible AI governance, candidates should understand:
·
AI ethics
·
Explainable AI
·
Algorithmic
bias
·
Fairness
·
AI governance
·
Model risk
·
Data privacy
·
Compliance
·
Risk
management
This is an excellent opportunity to
showcase knowledge beyond traditional Business Analysis.
🗣️ Soft Skills Required
Communication ⭐⭐⭐⭐⭐
You will work with multiple
stakeholders, so excellent communication is essential.
Stakeholder Management ⭐⭐⭐⭐⭐
You must be comfortable dealing
with:
·
Business users
·
Audit
professionals
·
Data
scientists
·
Product
managers
·
Engineers
·
Leadership
Problem Solving ⭐⭐⭐⭐⭐
You should be able to take an
ambiguous business problem and structure it into an actionable solution.
Documentation ⭐⭐⭐⭐⭐
Clear documentation is a major
requirement.
Presentation Skills ⭐⭐⭐⭐
Consultants frequently need to
communicate findings and recommendations to senior stakeholders.
Leadership ⭐⭐⭐⭐
The role can involve supervision,
coaching and performance-related responsibilities.
🎯 How to Apply for KPMG Consultant – Business Analyst
Candidates should use the official
KPMG careers/application channel and carefully verify the job location,
eligibility criteria and closing date before applying.
Job ID: 30047954
Application Deadline: September 30, 2026
When applying, make sure your
resume clearly highlights:
✅ Business Analysis experience
✅ AI/ML projects
✅ Product analysis experience
✅ Requirements gathering
✅ Agile methodology
✅ Stakeholder management
✅ Data analytics
✅ User stories
✅ UAT
✅ Dashboarding
✅ Responsible AI
✅ Risk & compliance exposure
📄 ATS Resume Keywords for KPMG Business Analyst
If you're preparing your resume for
this position, consider naturally incorporating relevant keywords such as:
Business Analysis, Product Analysis, Artificial Intelligence,
Machine Learning, Advanced Analytics, Requirements Gathering, Requirements
Engineering, User Stories, Acceptance Criteria, Agile, Product Development
Lifecycle, AI Governance, Responsible AI, Explainability, Fairness, Model
Evaluation, Data Analytics, Stakeholder Management, UAT, Dashboarding, KPI,
Audit Technology, Risk Management, Compliance, Process Improvement, Business
Transformation, Data Science, Solution Design, Product Management.
⚠️ Never add a skill you cannot
demonstrate in an interview.
📝 Pro Tips to Increase Your Chances
💡 Tip 1: Don't Submit a Generic Business Analyst
Resume
A conventional BA resume may not be
enough.
Position yourself as:
Business Analyst + AI/Analytics + Product Thinking
💡 Tip 2: Quantify Your Achievements
Instead of:
❌ "Worked on analytics
dashboards."
Write:
✅ "Developed business
performance dashboards that improved stakeholder visibility into key
operational KPIs."
💡 Tip 3: Highlight AI Projects
If you have worked on:
·
Chatbots
·
Predictive
analytics
·
Generative AI
·
NLP
·
Machine
learning
·
Automated
document analysis
·
AI-powered
dashboards
·
Recommendation
systems
highlight them prominently.
💡 Tip 4: Learn the AI Lifecycle
Before your interview, understand:
Problem → Data → Model → Validation → Deployment → Monitoring
→ Governance
You don't need to become an ML
engineer, but you should be able to discuss the lifecycle confidently.
💡 Tip 5: Prepare Business Case Examples
Be ready to answer:
"How would you identify an AI
opportunity in an audit process?"
A strong answer should cover:
Business Problem → Data Availability → Feasibility → Risk →
AI Solution → Success Metrics → Testing → Adoption → Monitoring
💡 Tip 6: Understand Responsible AI
Prepare examples explaining:
·
What is
explainability?
·
What is AI
bias?
·
Why is
fairness important?
·
How can AI
models create business risk?
·
How should an
organization monitor AI systems?
This could give you an edge over
traditional BA candidates.
🎤 Possible KPMG Interview Questions
Candidates should prepare for
questions such as:
Business Analysis
1.
What is the
difference between a business requirement and a functional requirement?
2.
How do you
gather requirements from multiple stakeholders?
3.
How do you
handle conflicting stakeholder requirements?
4.
What makes a
good user story?
5.
What is
acceptance criteria?
6.
How do you
prioritize requirements?
AI/ML
7.
Explain the machine
learning lifecycle.
8.
How would you
identify an AI use case?
9.
What factors
would you consider before implementing an AI solution?
10. How would you evaluate whether an
AI solution is successful?
11. What is model explainability?
12. What is responsible AI?
13. How can AI bias impact business
decisions?
Consulting
14. Tell us about a difficult
stakeholder situation.
15. How do you manage competing
priorities?
16. How do you communicate technical
information to non-technical stakeholders?
17. Describe a project where you
influenced a business decision.
18. How do you manage project risks?
🌟 Unique Reasons to Consider This Opportunity
1. AI + Business Analysis
This is not merely a traditional BA
role. It sits at the intersection of business, AI, analytics and consulting.
2. Audit Technology Exposure
Candidates can gain exposure to
technology-driven transformation in a professional-services environment.
3. Cross-functional Collaboration
The role involves collaboration
with audit professionals, data scientists, product managers and engineers.
4. Responsible AI Experience
Exposure to explainability,
fairness and AI risk can become a valuable long-term career differentiator.
5. Consultant Career Path
The position can provide a
foundation for future careers in:
·
AI Consulting
·
Product
Management
·
Business
Analysis
·
Data Analytics
·
Digital
Transformation
·
Risk
Consulting
·
AI Governance
·
Technology
Consulting
📈 Possible Career Growth
A candidate joining at Consultant
level could potentially progress toward roles such as:
Consultant → Senior Consultant → Manager → Senior Manager →
Director/Partner-level leadership
Actual progression depends on
performance, business requirements, experience and organizational structure.
❓ Frequently Asked Questions
Is KPMG hiring Business Analysts in 2026?
Yes. The vacancy supplied for this
post is a Consultant – Business Analyst position with Job ID 30047954,
posted on July 22, 2026.
What is the deadline for the KPMG Business Analyst job?
The supplied job details state that
applications close on September 30, 2026.
What is the educational qualification?
A Bachelor's or Master's degree in
Business, AI/ML, Analytics, Data Science or a related discipline is suitable
according to the supplied description.
Is this KPMG job suitable for freshers?
It does not appear to be a typical
fresher role because the description specifically asks for experience as a
Business Analyst or Product Analyst along with AI, ML or advanced analytics
project experience.
Are 2026 graduates eligible?
The job does not specify a
graduation batch. A 2026 graduate may be considered if they satisfy the
experience/project requirements and the official application accepts their
profile.
Are 2027 graduates eligible?
The supplied description does not
specifically mention the 2027 batch. Since experience is requested, fresh 2027
graduates should consider this a low-probability opportunity unless they
have substantial relevant experience or the employer's application criteria
allow them.
Is an accountancy qualification compulsory?
No. The description states that a
professional accountancy qualification is desirable but not essential.
Is an IIBA certification mandatory?
No. Business Analysis
certifications such as IIBA credentials are described as strongly preferred,
rather than mandatory.
What skills are most important?
The most important skills include Business
Analysis, AI/ML understanding, requirements gathering, stakeholder management,
Agile, documentation, analytics and responsible AI.
What salary can candidates expect?
KPMG does not specify compensation
in the supplied vacancy. Public salary reports suggest Consultant and Business
Analyst compensation varies substantially by experience and location. A
practical expectation for a relevant Consultant profile could be around ₹8–18 LPA+, but this is only an estimate and
not an official salary range.
Where is the job located?
The detailed job information
supplied lists Bangalore, Karnataka – 560103. The supplied headline also
mentions Gurgaon, so applicants should verify the final location on the
official application page.
📌 Important Application Checklist
Before applying, make sure you
have:
·
✅ Updated
ATS-friendly resume
·
✅ Business
Analysis experience
·
✅
AI/ML/analytics project exposure
·
✅ Strong
stakeholder-management examples
·
✅ Agile
knowledge
·
✅ User-story
experience
·
✅
Data/analytics skills
·
✅ AI
governance awareness
·
✅ Relevant
degree
·
✅ Supporting
certifications, if available
·
✅ Quantified
project achievements
🔗 Related Job Opportunities on Placement Officer
Candidates looking for Business Analyst, Data Analyst, AI/ML, Software Engineering, Consulting, Data Science, Product Management and other technology jobs can explore the latest opportunities published on www.placement-officer.com.
🏁 Conclusion
The KPMG Consultant – Business Analyst opportunity is an exciting career option for professionals who want to build a career at the intersection of Business Analysis, Artificial Intelligence, Machine Learning, Data Analytics and Consulting.
Unlike a conventional Business Analyst position, this role emphasizes AI-driven audit opportunities, stakeholder engagement, solution requirements, user testing, analytics, adoption monitoring and responsible AI governance.
Candidates who can demonstrate the ability to translate business problems into technology requirements will be particularly well positioned.
🔗 Apply Link: Click Here To Apply for KPMG
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