Analytics Solutions Associate - Business Intelligence Analyst
JPMorganChase
IT, Operations, Data Science
Bengaluru, Karnataka, India
- Collaborate with finance stakeholders to understand business needs and translate them into data requirements and business intelligence solutions
- Develop Python‑based analytics solutions to support data modeling workflows and reusable analytical outputs
- Perform reconciliation checks between source systems and the general ledger, identifying issues and investigating root causes
- Design, develop, and maintain interactive dashboards and reports that deliver financial insights and critical business outputs
- Use SQL to conduct self‑service analysis, validate results, and ensure data accuracy and integrity across sources
- Partner with data engineers and architects to define, test, and enhance curated data models and views
- Present complex financial data in clear, visually effective formats to support storytelling and decision‑making
- Ensure adherence to governance, controls, and standards for business intelligence solutions
- Support continuous improvement of analytics processes, tooling, and data quality
- Contribute to cross‑functional initiatives supporting finance transformation objectives
- Minimum three years of experience working with business intelligence or analytics platforms
- Strong proficiency in SQL with a practical data modeling mindset
- Experience performing financial reconciliations and investigating data discrepancies
- Strong analytical and problem‑solving skills with attention to detail
- Experience developing data visualizations and dashboards with sound user experience judgment
- Ability to communicate complex data insights clearly in written and verbal formats
- Experience working in cross‑functional teams in an agile or delivery‑focused environment
- Understanding of finance data, reporting, or accounting concepts
- Bachelor’s degree or equivalent experience in data analytics, computer science, finance, accounting, or a related field
- Experience supporting large‑scale digital or finance transformation initiatives
- Familiarity with Python for analytics development and data modeling support
- Experience working with finance or financial services data
- Exposure to modern analytics or data visualization tools
- Practical understanding of retail banking products such as current accounts, credit cards, insurance, or mortgages
J.P. Morgan is an Equal Opportunity Employer.
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JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
We know that people want great value combined with an excellent experience from a bank they can trust, so we launched our digital bank.