JPMorgan Chase Off Campus Jobs 2026 | Hiring for Associate Analytics Data Engineer
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JPMorgan Chase Off Campus Jobs 2026 : JPMorgan Chase has announced a new job opportunity for the position of Associate – Analytics Data Engineer. Candidates with qualifications such as M.E, M.Tech, MIS, or M.Sc can apply for this position. Applicants with a relevant bachelor’s degree and the required work experience are also eligible.
This job opening is based in Bangalore and is a good opportunity for experienced professionals who want to build their careers in analytics engineering and data management. Interested and eligible candidates can submit their applications online before 09 November 2026.
Candidates can check the complete information about the eligibility criteria, required skills, job responsibilities, and application process below.
About JPMorgan Chase
JPMorgan Chase & Co. is one of the world’s leading financial services companies. The company provides a wide range of services, including investment banking, financial services, asset management, and commercial banking. It offers career opportunities across technology, analytics, finance, and several other professional fields.
JPMorgan Chase Off Campus Jobs 2026 Details
| Particulars | Details |
|---|---|
| Company Name | JPMorgan Chase & Co. |
| Job Role | Associate – Analytics Data Engineer |
| Job Category | IT Jobs |
| Qualification | M.E/M.Tech/MIS/M.Sc |
| Experience | 3 Years |
| Salary/CTC | Best in Industry |
| Job Location | Bangalore |
| Last Date to Apply | 09 November 2026 |
Eligibility Criteria
Educational Qualification and Work Experience
Candidates must meet either of the following educational and professional experience requirements:
- A Master’s degree in Information Technology, Computer Science, Management Information Systems, Operations Research, or a related discipline, along with at least 3 years of relevant work experience.
- Alternatively, candidates with a Bachelor’s degree in Information Technology, Computer Science, Management Information Systems, Operations Research, or a related field must have at least 5 years of relevant experience.
The required experience should be in the advertised position, Analytics Engineering, or a related occupation.
Required Skills and Qualifications
Applicants should have the following technical knowledge and professional skills:
- Advanced knowledge of SQL, including complex joins, query optimization, performance tuning, and incremental data processing.
- A strong understanding of data modeling concepts, including facts, dimensions, data grains, conformed dimensions, and slowly changing dimensions.
- Practical experience with semantic layers or metrics frameworks, including the ability to create standardized business metrics and KPI definitions.
- Knowledge of handling semi-structured data, particularly JSON, along with non-relational data sources.
- Understanding of data governance practices, including access controls, data classification, data lineage, and audit requirements.
- Hands-on experience working with Snowflake and/or Databricks for analytics-related tasks.
- Practical Python programming skills for data validation, automation, notebooks, and scripting.
- Good communication skills and the ability to work with different stakeholders to understand business requirements.
- Strong documentation skills and attention to data accuracy and quality.
Preferred Qualifications
Candidates with additional knowledge or experience in the following areas may have an advantage:
- Experience in data testing and technical documentation.
- Familiarity with business intelligence platforms such as Tableau, Sigma, and Looker.
- Understanding of workflow orchestration and data monitoring tools such as Airflow, Dagster, and Azure Data Factory.
- Knowledge of logging, alerting, and service-level agreement (SLA) practices.
Job Responsibilities
Selected candidates will be responsible for managing different analytics engineering activities. Their major responsibilities will include:
- Developing and maintaining analytics data models that support business reporting, business intelligence, and self-service analytics.
- Designing and managing semantic layers to maintain consistent business metrics, dimensions, entities, and definitions across dashboards and reports.
- Understanding business requirements and converting them into structured data models with clearly defined entities, metrics, and acceptance criteria.
- Creating and managing data transformation processes mainly using SQL, with Python for automation, validation, and complex processing when required.
- Implementing data quality checks, testing procedures, reconciliations, and anomaly detection to maintain reliable business data.
- Improving data model performance using Snowflake and/or Databricks through efficient queries, joins, partitioning, and clustering techniques where applicable.
- Working closely with upstream engineering teams to understand source systems and ensure accurate data representation.
- Establishing data modeling standards, including naming conventions, documentation, data lineage, and metric governance.
- Preparing documentation and user guidelines to help business teams understand and use curated datasets and semantic layers effectively.
Job Summary
As an Associate in the Analytics Engineering team, the selected candidate will work on developing reliable data models and building semantic layers that help standardize important business metrics.
The role involves collaborating with different teams to understand business requirements and convert them into reusable, well-organized, and properly governed datasets. Candidates will also be responsible for defining data structures, dimensions, facts, and business metrics to improve the overall analytics process.
The selected professional will work closely with engineering teams to maintain data accuracy, improve model performance, and ensure proper documentation. The main objective is to make business data more consistent, accessible, and useful for reporting and decision-making.
How to Apply for JPMorgan Chase Off Campus Drive 2026?
Interested and eligible candidates can apply for the Associate – Analytics Data Engineer position through the official JPMorgan Chase careers website.
Applicants should carefully review the job requirements before submitting their applications. Make sure that your educational qualifications, professional experience, and technical skills match the eligibility criteria.
Apply Link : Click Here To Apply
And also apply in EY Recruitment Jobs 2026
Conclusion
JPMorgan Chase Recruitment 2026 offers a good career opportunity for experienced candidates interested in analytics engineering and data management. Candidates with the required educational background, SQL and Python skills, and experience with Snowflake or Databricks can consider applying for this position.
Eligible applicants should complete the online application process before 09 November 2026 and make sure their details are accurate before submission.
FAQs for JPMorgan Chase Recruitment 2026
1. What is the job role announced under JPMorgan Chase Recruitment 2026?
JPMorgan Chase is hiring candidates for the position of Associate – Analytics Data Engineer.
2. What qualifications are required for JPMorgan Chase Recruitment 2026?
Candidates with an M.E, M.Tech, MIS, or M.Sc degree and at least 3 years of relevant experience can apply. Applicants with a relevant Bachelor’s degree and 5 years of experience are also eligible.
3. How much work experience is required for this position?
Candidates must have at least 3 years of relevant experience with a Master’s degree or 5 years with a Bachelor’s degree.
4. What is the job location for the Associate – Analytics Data Engineer role?
The selected candidates will be working in Bangalore, Karnataka.
5. What is the last date to apply for JPMorgan Chase Recruitment 2026?
The last date to submit the online application is 09 November 2026.
