Welcome to https://www.placement-officer.com/ - Job Portal for Freshers (We care for Your
Placements)
With more than 1.5 Crore Views
Get the latest updates on Jobs
for Freshers, Off Campus Drive, Off Campus Placement, upcoming Off Campus
Drive, Government Jobs, Sarkari Naukri, Internships, Pool Campus Drive, Joint
Campus Drive, Jobs for 2028 Batch, 2027, Batch, 2026 Batch, 2025 Batch,
2024 Batch, 2023 Batch, 2022 Batch, 2021 Batch, Walk-in-Interview
🚀 JPMorganChase Hiring Data Management Associate in Bengaluru 2026 – Apply Before 10 September | SQL, Python, AWS & Data Analytics | Placement Officer
JPMorganChase Data Management Associate 2026 | JPMorgan Chase Jobs Bengaluru | Data Management Jobs | SQL Jobs | Python Data Jobs | AWS Data Jobs | Banking Data Analytics Jobs | JPMorganChase Careers India
📌 JPMorganChase Data Management Associate 2026 – Complete Overview
JPMorganChase is hiring for a Data Management Associate
position in Bengaluru, Karnataka, offering an
excellent opportunity for professionals with experience in data analysis,
reporting, business intelligence, SQL, data quality, testing and data
management.
The position is associated with the
International Consumer Bank and involves working with product teams to
build data-driven solutions supporting areas such as finance, treasury
operations, financial crime prevention, regulatory reporting and analytics.
The role requires candidates who
can work at the intersection of business, data and technology.
🔥 Key Highlights
·
🏢 Company:
JPMorganChase
·
💼 Role:
Data Management Associate
·
🆔 Job
ID: 210748551
·
📊 Job
Category: Data Management
·
🏦 Business
Unit: Corporate Sector
·
📍 Location:
Bengaluru, Karnataka
·
🏢 Office:
Embassy Tech Village, Outer Ring Road
·
💼 Employment:
Full Time
·
📅 Posting
Date: 28 August 2026
·
⏰ Application
Deadline: 10 September 2026, 9:30 AM
·
🧑💻
Core Skills: SQL, Data Analysis, Data Quality, Data Modelling, Testing
·
🐍 Preferred:
Python
·
☁️ Preferred:
AWS
·
🗄️ Preferred:
Data Warehousing & ETL
·
🔐 Preferred:
Data Governance
·
💰 Online
Salary Estimate: ₹6–₹9 LPA
Glassdoor's current listing for
this specific Data Management Associate role in Bengaluru shows an estimated
base-pay range of ₹6
lakh to ₹9
lakh per year, with a median estimate around ₹8 lakh. This
is an online estimate, not an employer-confirmed salary figure.
⏰ IMPORTANT: Application Deadline
🚨 Apply Before: 10 September 2026 at 9:30 AM
Candidates should avoid waiting
until the final day because application availability can change.
The company states that candidates
should highlight relevant achievements and experience in their resumes and that
the interview process can involve multiple rounds depending on the position.
🏦 About JPMorganChase
JPMorgan Chase & Co. is one of
the world's largest financial institutions, operating across investment
banking, consumer banking, commercial banking, payments and asset management.
JPMorganChase maintains major
corporate centers in Mumbai, Bengaluru and Hyderabad, supporting the firm's
global technology and business operations.
The company's careers platform
highlights opportunities across areas including Consumer & Community
Banking, Corporate Functions, Technology, Asset & Wealth Management and
Commercial & Investment Banking.
For candidates interested in
technology and data careers, JPMorganChase identifies areas such as data
science, software engineering, AI and technology among its career
opportunities.
💼 JPMorganChase Data Management Associate – Job Description
As a Data Management Associate,
you will work within the International Consumer Bank and help deliver
data-driven solutions that support banking products and business functions.
The position combines:
Data Management + SQL + Reporting + Data Quality + Business
Analysis + Testing + Data Governance
You will collaborate with product
teams, data engineers and business stakeholders to understand requirements,
analyze data and deliver reliable information.
🎯 Key Responsibilities
1. 🤝 Partner With Product Teams
You will work with different
product teams to:
·
Gather
business requirements
·
Understand
data requirements
·
Analyze
datasets
·
Produce
accurate reports
·
Develop
data-driven solutions
·
Address business
problems through data
This means the role is not purely
technical.
You need to understand what the
business needs and translate that requirement into a data solution.
2. 🧩 Apply Data Modelling Techniques
The position requires knowledge of domain
modelling.
You may be involved in designing
data structures that:
·
Represent
business entities
·
Reduce
redundancy
·
Improve data
quality
·
Support
reporting
·
Enable
scalable data solutions
💡 Interview Tip
Be prepared to explain:
What is data modelling?
What is normalization?
What is the difference between conceptual, logical and
physical data models?
3. ✅ Maintain Data Accuracy & Integrity
One of the most important responsibilities
is ensuring that data remains:
·
Accurate
·
Consistent
·
Complete
·
Reliable
·
Traceable
Data quality is particularly
important in banking because incorrect data can affect reporting, customer
experiences, regulatory processes and business decisions.
4. ⚙️ Process Improvement & Automation
The successful candidate will help
identify opportunities to improve existing processes.
This could include:
·
Automating
repetitive reporting
·
Improving data
validation
·
Reducing
manual processes
·
Automating
quality checks
·
Improving
reporting workflows
⭐ Unique Pointer
Candidates who can demonstrate "I
automated X and reduced manual effort by Y%" will have a stronger
story than candidates who simply list tools on their resumes.
5. 👨💻 Collaborate With Data Engineers
The role involves working with data
engineering teams to improve reporting workflows.
You may need to understand:
Data Source → ETL/ELT → Data Store → Transformation →
Reporting → Business Insight
You don't necessarily need to be a
full-time data engineer, but understanding the overall data pipeline is
important.
6. 🔍 Resolve Data Issues
The role involves investigating
discrepancies and data-quality problems.
Typical problems could include:
·
Missing
records
·
Duplicate
records
·
Incorrect
values
·
Data
mismatches
·
Transformation
errors
·
Reporting
inconsistencies
·
Source-to-target
mismatches
7. 📊 Communicate Data Insights
Technical analysis is only useful
if stakeholders can understand it.
You will therefore need to
communicate findings through:
·
Reports
·
Dashboards
·
Visualizations
·
Summaries
·
Presentations
·
Business
explanations
⭐ Important Skill
Translate technical information into business language.
This is one of the most valuable
skills for a Data Management Associate.
8. 🧪 Support Functional Testing
The role also involves extracting
and analyzing data for:
·
Functional
testing
·
Data
investigations
·
Product
testing
·
Validation
activities
Candidates should understand
different types of testing, including:
·
Unit testing
·
Component
testing
·
Integration
testing
·
End-to-end
testing
·
Performance
testing
9. 🔐 Data Governance & Compliance
The position contributes to:
·
Data
governance
·
Data standards
·
Compliance
·
Data quality
·
Regulatory
requirements
This is especially important
because JPMorganChase operates within a highly regulated financial-services
environment.
🧑💻 Required Skills & Qualifications
The job description specifically
emphasizes the following capabilities.
🗄️ 1. Data Engineering Concepts
Candidates should have formal
training or certification in data engineering concepts along with applied
experience.
Useful areas include:
·
Data pipelines
·
ETL
·
Data modelling
·
Data quality
·
Data stores
·
Data
transformation
📊 2. Data Analysis / Reporting Experience
The position requires recent
hands-on professional experience in areas such as:
·
Data analysis
·
Reporting
·
Business
intelligence
·
Data
management
This is an important distinction.
⚠️ Is this a pure fresher role?
The supplied job description does not state that freshers are
eligible.
It asks for recent hands-on
professional experience in reporting, data analysis or business intelligence.
Therefore, candidates should
carefully evaluate their experience against the actual requirements before
applying.
🧮 3. SQL
SQL is one of the most important
technical skills for this vacancy.
Candidates should be comfortable
with:
·
SELECT
·
WHERE
·
GROUP BY
·
HAVING
·
ORDER BY
·
INNER JOIN
·
LEFT JOIN
·
RIGHT JOIN
·
UNION
·
Subqueries
·
CTEs
·
Window
functions
·
CASE
statements
·
Aggregations
🔥 Advanced SQL Topics
Also learn:
·
Indexing
·
Query
optimization
·
Execution
plans
·
Partitioning
concepts
·
Large-table
querying
·
Performance
optimization
🐍 4. Python
Python is listed as a preferred
qualification.
Candidates should know how Python
can be used for:
·
Data analysis
·
Data cleaning
·
Automation
·
ETL
·
File
processing
·
API
interaction
·
Reporting
Useful libraries include:
·
Pandas
·
NumPy
·
Matplotlib
·
Requests
☁️ 5. AWS
Knowledge of AWS is also preferred.
Candidates should understand
fundamental AWS concepts and services.
Useful areas include:
·
Amazon S3
·
EC2
·
IAM
·
CloudWatch
·
AWS databases
·
Data storage
·
Cloud security
basics
You don't necessarily need to be an
AWS architect for this role.
🏗️ 6. Data Warehousing & ETL
Candidates should understand:
Data Warehouse
A centralized environment designed
for storing and analyzing data.
ETL
Extract → Transform → Load
You should understand how data
moves from source systems into analytical/reporting environments.
📦 7. Technical Data Formats
The job description specifically
mentions:
JSON
Commonly used for APIs and
structured data exchange.
Avro
A schema-based serialization format
often used in distributed data systems.
Parquet
A columnar storage format widely
used in analytical and big-data workloads.
💡 Interview Tip
Don't merely memorize definitions.
Understand:
Why would Parquet be useful for analytical workloads?
What is the role of a schema in Avro?
How is JSON different from Parquet?
🧪 8. Testing
Testing knowledge is another
important requirement.
You should understand:
|
Testing Type |
Purpose |
|
Unit Testing |
Tests
individual components |
|
Component
Testing |
Tests a
component/system section |
|
Integration
Testing |
Tests
interactions between components |
|
End-to-End
Testing |
Tests
complete workflows |
|
Performance
Testing |
Evaluates
speed/scalability |
🧠 9. Analytical & Problem-Solving Skills
The role requires strong analytical
thinking.
You may be asked to:
·
Identify
anomalies
·
Find data
discrepancies
·
Investigate
root causes
·
Compare
datasets
·
Analyze trends
·
Explain
unexpected results
🗣️ 10. Communication Skills
Candidates must be able to
communicate effectively in English.
You should be able to explain:
Technical Problem → Root Cause → Impact → Solution → Business
Outcome
in simple language.
🎓 Eligible Batches – Important Clarification
⚠️ No Specific Graduation Batch Is Mentioned
Unlike many campus/fresher
vacancies, the supplied JPMorganChase job description does not specify 2026,
2027 or any particular graduation batch.
Therefore:
·
❌ Do not
incorrectly label this as a "2027 Batch Job"
·
❌ Do not claim
it is exclusively for freshers
·
❌ Do not
invent a degree/batch requirement that isn't listed
Who Should Consider Applying?
Professionals whose background
matches the stated requirements, particularly those with experience in:
·
Data analysis
·
Reporting
·
Business
intelligence
·
SQL
·
Data
management
·
Data
engineering concepts
·
Data quality
·
Testing
should consider applying.
📍 JPMorganChase Job Location
Bengaluru, Karnataka, India
The listed office location is:
Parcel 9, Embassy Tech Village, Outer Ring Road,
Deverabeesanhalli Village, Varthur Hobli, Bengaluru, Karnataka – 560103
JPMorganChase confirms Bengaluru as
one of its major corporate centers in India.
💰 JPMorganChase Data Management Associate Salary
Salary is one of the most searched
terms by candidates, but it's important to distinguish between official
compensation and third-party estimates.
For this specific Data Management
Associate vacancy, Glassdoor currently estimates:
💰 ₹6
LPA – ₹9
LPA
with an estimated median around:
⭐ ₹8
LPA
for Bengaluru.
Approximate Monthly Gross Equivalent
|
Annual CTC |
Approx. Monthly Gross |
|
₹6 LPA |
₹50,000 |
|
₹7 LPA |
₹58,333 |
|
₹8 LPA |
₹66,667 |
|
₹9 LPA |
₹75,000 |
Important: These are simple annual-to-monthly
calculations and do not represent take-home salary. Actual compensation may
include fixed pay, variable components and benefits.
🎯 Expected Salary for Candidates
For a candidate whose experience
closely matches the vacancy, an editorial estimate of ₹6–₹9
LPA is reasonable based on the current
Glassdoor estimate for this specific posting.
Do not present ₹8
LPA as guaranteed salary.
🏦 Why Data Management in Banking Is a Strong Career Option
Banking is increasingly dependent
on high-quality data.
Data supports:
·
Customer
onboarding
·
Payments
·
Lending
·
Fraud
detection
·
Financial
crime prevention
·
Regulatory
reporting
·
Risk
management
·
Treasury
·
Finance
·
Customer
analytics
The JPMorganChase role specifically
mentions collaboration across areas including card payments, electronic
payments, lending, customer onboarding, core banking and insurance.
This gives the role strong exposure
to the intersection of:
Finance + Technology + Data
🚀 Career Opportunities After This Role
A Data Management Associate can
potentially progress toward roles such as:
📊 Data Analyst
🧑💻 Data Engineer
🏗️ Analytics Engineer
🗄️ Data Warehouse Developer
🔐 Data Governance Analyst
📈 Business Intelligence Analyst
☁️ Cloud Data Engineer
🧠 Data Product Analyst
🏦 Financial Data Analyst
🚀 Senior Data Management Associate
🛠️ Best Skills to Learn Before Applying
If you want to become a stronger
candidate, prioritize these skills:
Priority 1 ⭐⭐⭐⭐⭐
SQL
Priority 2 ⭐⭐⭐⭐⭐
Data Analysis
Priority 3 ⭐⭐⭐⭐
Data Modelling
Priority 4 ⭐⭐⭐⭐
Data Quality
Priority 5 ⭐⭐⭐⭐
ETL / Data Warehousing
Priority 6 ⭐⭐⭐⭐
Python
Priority 7 ⭐⭐⭐
AWS
Priority 8 ⭐⭐⭐
Data Governance
Priority 9 ⭐⭐⭐
Testing
📚 Recommended Learning Roadmap
Phase 1 – SQL
Master:
SELECT → JOINs → Aggregations → CTEs → Window Functions →
Optimization
Phase 2 – Data Analysis
Learn:
·
Pandas
·
Data cleaning
·
Exploratory
data analysis
·
Data
visualization
·
Statistical
basics
Phase 3 – Data Engineering
Learn:
·
ETL
·
Data pipelines
·
Data modelling
·
Data
warehouses
·
Data lakes
·
Batch
processing
·
Data quality
Phase 4 – Cloud
Learn:
·
AWS
fundamentals
·
S3
·
EC2
·
IAM
·
CloudWatch
·
AWS data
services
Phase 5 – Governance
Understand:
·
Data ownership
·
Data lineage
·
Data quality
·
Metadata
·
Access control
·
Regulatory
compliance
💡 Best Projects for This JPMorganChase Role
🔥 Project 1 – Banking Data Quality Dashboard
Build a project that detects:
·
Missing values
·
Duplicate
customers
·
Invalid
transactions
·
Data
inconsistencies
Create a dashboard showing
data-quality metrics.
🔥 Project 2 – ETL Banking Pipeline
Create:
CSV/JSON → Python → Transformation → SQL Database → Dashboard
This demonstrates multiple skills
from the job description.
🔥 Project 3 – SQL Banking Analytics
Create a synthetic banking dataset
containing:
·
Customers
·
Accounts
·
Transactions
·
Loans
·
Payments
Then answer business questions
using advanced SQL.
🔥 Project 4 – Data Governance Project
Create a mock data-governance
framework covering:
·
Data owners
·
Data
definitions
·
Data quality
rules
·
Access
controls
·
Data lineage
🎯 Pro Tips to Get Selected
1️⃣ Don't Apply With a Generic Resume
Tailor your resume specifically
around:
SQL + Data Quality + Reporting + Data Analysis + Data
Modelling
2️⃣ Quantify Your Achievements
Instead of:
Worked on SQL reports.
Write:
Developed SQL-based reporting
workflows that reduced manual reporting effort by 40%.
Only use numbers you can
substantiate.
3️⃣ Prepare Advanced SQL
For this position, basic SQL alone
may not be enough.
Focus heavily on:
·
CTEs
·
Window
functions
·
Query
optimization
·
Joins
·
Aggregations
·
Large datasets
4️⃣ Understand Data Quality
Be prepared to explain how you
would detect:
Missing + Duplicate + Invalid + Inconsistent + Outdated data
5️⃣ Learn Data Modelling
Know:
·
Fact tables
·
Dimension
tables
·
Primary keys
·
Foreign keys
·
Normalization
·
Star schema
·
Snowflake
schema
6️⃣ Understand Banking Data
You don't need to become a banking
expert, but understand basic concepts such as:
·
Customer
·
Account
·
Transaction
·
Payment
·
Loan
·
Card
·
Regulatory
reporting
·
Fraud
·
Financial
crime
7️⃣ Prepare Business-Facing Answers
The job isn't only about writing
SQL.
You need to demonstrate that you
can explain:
"What does this data actually mean for the
business?"
8️⃣ Highlight Automation
Automation is explicitly mentioned
in the job description.
Show examples of how you have:
·
Automated
reports
·
Automated data
checks
·
Reduced manual
effort
·
Improved data
quality
9️⃣ Don't Ignore Testing
Prepare examples demonstrating how
you validate data and applications.
🔟 Show Curiosity
JPMorganChase's careers information
emphasizes qualities such as curiosity, collaboration, critical thinking and
excellence.
🧪 Expected JPMorganChase Interview Questions
SQL Questions
1.
What is the
difference between INNER JOIN and LEFT JOIN?
2.
What are
window functions?
3.
What is a CTE?
4.
How would you
find duplicate records?
5.
How would you
find the second-highest salary?
6.
How do you
optimize a slow SQL query?
7.
What is
indexing?
8.
What is
normalization?
9.
What is a
primary key?
10. What is a foreign key?
Data Management Questions
11. What is data quality?
12. What are common data-quality
dimensions?
13. What is data governance?
14. What is data lineage?
15. What is data modelling?
16. Explain fact and dimension tables.
17. What is a data warehouse?
18. What is ETL?
19. ETL vs ELT?
20. How would you investigate a data
discrepancy?
Python Questions
21. Why is Python useful for data
analysis?
22. What is Pandas?
23. How do you handle missing values?
24. How do you remove duplicate
records?
25. How would you process a large CSV
file?
Data Formats
26. What is JSON?
27. What is Avro?
28. What is Parquet?
29. Why is Parquet useful for
analytics?
30. Row-based vs column-based storage?
Testing
31. What is unit testing?
32. What is integration testing?
33. What is end-to-end testing?
34. What is performance testing?
35. How would you validate a data
pipeline?
AWS
36. What is Amazon S3?
37. What is EC2?
38. What is IAM?
39. How can AWS support a data platform?
40. What is the difference between
object and relational storage?
🌟 Unique Points About This Vacancy
⭐ 1. Strong Business + Technology Combination
This isn't a purely technical
data-engineering role.
You'll interact with business and
product teams.
⭐ 2. Banking Domain Exposure
Candidates can gain exposure to
financial data and regulated environments.
⭐ 3. Data Quality Is Central
Accuracy, integrity and consistency
are core responsibilities.
⭐ 4. Automation Is Explicitly Mentioned
Candidates with automation
experience can differentiate themselves.
⭐ 5. Multiple Data Technologies
The role mentions:
SQL + Python + AWS + JSON + Avro + Parquet + ETL
making it a broad data-management
opportunity.
⭐ 6. Stakeholder Communication Matters
You need both:
Technical skills + communication skills
to succeed.
❓ Frequently Asked Questions
Q1. What is the JPMorganChase Data Management Associate Job
ID?
The Job ID is 210748551.
Q2. Where is the job located?
The position is based in Bengaluru,
Karnataka, India.
Q3. What is the last date to apply?
The supplied job information lists 10
September 2026 at 9:30 AM as the application deadline.
Q4. Is this a work-from-home position?
The supplied job description does
not identify the role as remote. The listed location is JPMorganChase's
Bengaluru office.
Q5. Is this job for freshers?
The supplied description does
not identify it as a fresher role. It asks for recent hands-on professional
experience in reporting, data analysis or business intelligence.
Q6. Which degree is required?
The supplied job description does
not specify a particular degree requirement.
Q7. Which technical skill is most important?
SQL is one of the most important
skills because database querying and optimization are explicitly required.
Q8. Is Python mandatory?
Python is listed under preferred
qualifications, rather than the required qualifications.
Q9. Is AWS required?
AWS is also listed as a preferred
qualification.
Q10. What salary can candidates expect?
Current Glassdoor estimates for
this specific Bengaluru Data Management Associate listing show approximately ₹6–₹9
LPA, with an estimated median around ₹8 LPA.
Q11. Which batches are eligible?
No specific graduation batch is
mentioned in the supplied job description. Candidates should assess their
eligibility based on the experience and skills requested.
Q12. Is finance experience mandatory?
The job description lists experience in highly regulated industries as preferred, not required. However, an interest in the financial sector and understanding of banking data can strengthen an application.
🔗 Apply Link: Click Here To Apply for JPMorganChase
|
Check the Other Latest Off Campus Drives |
Visit www.placement-officer.com for the latest verified job opportunities for 2023, 2024, 2025,
2026, 2027, and 2028 batches.
🤝 Join the Placement Officer Community
Become part of the Placement
Officer Community and get:
- 🔔 Daily job alerts
- 💼 Off-campus drive updates
- 🎓 Internship opportunities
- 📝 Resume and LinkedIn tips
- 🎯 Interview preparation resources
- 🚀 Career guidance and placement support
Stay ahead in your career
journey—join today!
Important Links
Click
Here To Join WhatsApp Group for 2027 Batch
Click
Here to Join WhatsApp Channel
Click Here to get a Free Job Alert on
Email
Click Here To Join Telegram Group
If you are satisfied
with www.placement-Officer.com then kindly like &
Share with more people
Thanks
Disclaimer
The recruitment details shared above are for informational purposes only and
have been obtained from the organization’s official website. We do not
guarantee any job placements. Recruitment will be conducted according to the
company's official process. We do not charge any fees for sharing this job
information.
