JPMorgan Chase Hiring Data Analyst | Freshers Apply Now

Short Intro

JPMorgan Chase is hiring Data Analysts for its Bengaluru office, offering fresh graduates an opportunity to begin their careers within one of the world’s most influential financial institutions. Data analytics plays a critical role in modern banking—supporting risk management, customer insights, compliance, operations, and strategic decision-making. This role is well suited for candidates who are comfortable working with data, enjoy problem-solving, and want to build a long-term career at the intersection of finance, analytics, and technology.

For freshers and early-career professionals, this position provides exposure to structured datasets, enterprise-grade analytics processes, and real-world business problems in the banking and financial services domain. Candidates from diverse academic backgrounds who possess analytical curiosity, attention to detail, and a willingness to learn can find this role a strong foundation for future growth in analytics, business intelligence, and financial data roles.

Job Highlights

Job Description

As a Data Analyst at JPMorgan Chase, you will support business and operational teams by analyzing structured data, identifying patterns, and delivering insights that inform decision-making. The role involves working with large datasets related to financial operations, customer behavior, risk metrics, or internal performance indicators.

Rather than focusing purely on technical execution, this role emphasizes translating data into meaningful business understanding. Analysts collaborate with cross-functional stakeholders, follow governance and compliance standards, and contribute to data-driven initiatives that improve efficiency, accuracy, and risk control. For freshers, this position offers a structured environment to learn enterprise analytics practices while gaining exposure to the financial services ecosystem.

Roles & Responsibilities

• Analyze structured datasets to identify trends, anomalies, and performance drivers
• Prepare reports, dashboards, and summaries for business and operations teams
• Support data validation, reconciliation, and quality checks
• Assist stakeholders in interpreting analytical findings for decision-making
• Follow internal data governance, security, and compliance standards
• Document analysis logic, assumptions, and outcomes clearly
• Collaborate with senior analysts and business partners on ongoing projects
• Should contribute to the continuous improvement and enhancement of reporting and analytics processes

Skills Required

Technical / Tool-based Skills

• Working knowledge of MS Excel (formulas, pivot tables, data validation)
• Basic understanding of SQL or data querying concepts
• Familiarity with reporting or visualization tools is an advantage
• Ability to work with large, structured datasets

Analytical / Business Skills

• Strong logical reasoning and problem-solving ability
• Attention to detail and accuracy in data handling
• Clear written and verbal communication skills
• Ability to understand business context behind data
• Willingness to learn financial and regulatory concepts

Eligibility Criteria

• Bachelor’s or Master’s degree in any discipline
• Fresh graduates are eligible to apply
• Basic understanding of data handling and analysis concepts
• Comfort working in a structured, process-driven environment
• Willingness to work from the Bengaluru office

Salary Details

The expected salary range for this role is ₹5 – ₹8 LPA, based on current market estimates. Actual compensation may vary depending on academic background, interview performance, role alignment, and internal compensation structures. In addition to base pay, employees may receive standard benefits as per company policy.

Selection Process (Expanded)

1. Resume Screening
Shortlisting based on educational background and analytical exposure.
Preparation tip: Highlight coursework, projects, or internships involving data or analysis.

2. Online Assessment / Analytical Test
May include numerical reasoning, data interpretation, or basic logic questions.
Preparation tip: Practice interpreting charts, tables, and datasets.

3. Technical / Analytical Interview
Discussion around data handling, problem-solving approach, and basic tools.
Preparation tip: Explain how you would analyze a dataset step by step.

4. HR Interview
Focuses on role fit, communication, and career intent.
Preparation tip: Be clear about why you want to work in analytics and banking.

What This Role Means in the 2025–2026 Job Market (In Terms of Career Growth )

Between 2025 and 2026, data analytics continues to be a core capability across banking, fintech, and financial services. Institutions like JPMorgan Chase invest heavily in analytics to manage risk, enhance customer experience, and meet regulatory requirements. Entry-level Data Analysts remain in demand to support reporting, compliance, and business intelligence functions.

For freshers, this role offers stability and relevance. The analytical discipline developed here aligns well with sustainability and analyst jobs for freshers, as governance, compliance, and data-backed decision-making become increasingly important across industries.

Tips for Freshers

Why Analytics in Banking Is a Strong Choice
Banking analytics offers structured learning, clear processes, and exposure to real-world data.

What Skills Matter Most at Entry Level
Accuracy, logical thinking, Excel proficiency, and business understanding.

Preparing Without Prior Experience
Focus on academic projects, case studies, and self-practice with datasets.

Understanding Financial Context
Learn basic banking terms such as risk, compliance, transactions, and controls.

Avoiding Common Mistakes
Do not overemphasize tools without explaining your analytical thinking.

Long-Term Growth
This role can lead to positions in business analytics, risk analytics, or strategy teams.

Helpful Resources

Data Analysis Basics
Source: IBM SkillsBuild
Explains foundational data analysis concepts.
Usage tip: Strengthen your understanding of analytical workflows.

Excel for Data Analysis
Source: Microsoft Learn
Covers Excel features used in analytics roles.
Usage tip: Practice pivot tables and data cleaning.

Introduction to Financial Markets
Source: Coursera
Provides context on how financial institutions operate.
Usage tip: Learn terminology relevant to banking analytics.

SQL Fundamentals
Source: Mode Analytics SQL Tutorial
Introduces querying structured data.
Usage tip: Practice simple SELECT and JOIN queries.

Interview Insights

Interviewers typically evaluate how you approach data problems, not just the final answer. Expect questions on interpreting datasets, explaining insights, and handling edge cases. Freshers should focus on structured thinking, clarity, and honesty—an approach equally useful in business analyst interview preparation.

How to Apply

Interested candidates should apply through the official JPMorgan Chase careers portal. Ensure your resume is accurate, concise, and highlights analytical exposure.

Apply on JPMorgan Chase careers portal

About Company

JPMorgan Chase is one of the world’s leading global financial services firms, serving millions of customers across investment banking, commercial banking, asset management, and consumer finance. With a strong presence in India, the company operates global capability centers that support analytics, technology, and operations worldwide.

Known for its strong governance, structured training, and long-term career opportunities, JPMorgan Chase provides a professional environment where early-career talent can build deep expertise while working on impactful, real-world financial challenges.

Disclaimer

This article is intended for informational purposes only. We are not recruiters and do not charge any fees nor promote any third party to do so. Candidates must verify all job details through official JPMorgan Chase sources. Do not pay anyone claiming to offer jobs or interviews in exchange for money, as such claims are fraudulent.