JPMorganChase Business Intelligence Job Alerts 2026 | Mumbai & Bengaluru

Qualifications

Qualifications

• Bachelor’s degree in a quantitative field (Finance, Economics, Engineering, Statistics etc.)
• Experience building reports and dashboards using BI tools (Tableau (strongly preferred) or Qlik Sense/Power BI/Looker etc.)
• Experience querying (e.g., SQL) and analyzing (e.g., Python) large amounts of data for ad-hoc and structured analyses
• Strong verbal and written communication skills, with the ability to explain complex data concepts to non-technical stakeholders
• Demonstrated adaptability and eagerness to learn new tools, technologies, and business processes
• Financial Services/Fintech experience preferred. Understanding of ETFs, mutual funds, model-portfolios, separately managed accounts, and direct indexing is a plus
• Experience building data pipelines and working knowledge of ETL/ELT tooling is a bonus

Responsibilities

The ideal candidate has prior experience as a Data Analyst or Business Intelligence Analyst in the financial services or FinTech space with a demonstrated ability to (1) translate business requirements into meaningful metrics and insights, (2) create and maintain scalable reporting frameworks using data tooling (Python, SQL, Tableau etc.) and (3) introducing automation to manual processes to enhance efficiency and reduce risk.

• Develop and support reporting of key performance indicators (KPIs) to track progress towards 55ip’s corporate objectives
• Build, maintain and enhance dashboards providing business-driven metrics to 55ip internal stakeholders
• Serve as the main liaison with internal teams to elicit, document, and prioritize reporting requirements, ensuring solutions align with business objectives and stakeholder needs
• Prepare and present ad-hoc client and internal analyses to stakeholders relating to client, operational or technology performance metrics
• Collaborate cross-functionally to identify and streamline redundant reporting or operational processes, introducing automation and efficiencies where possible
• Perform trend analysis and advanced data exploration to drive client prospecting, deliver asset growth and pinpoint areas for operational improvement
• Ensure insight accuracy, consistency and integrity across all reporting and analytics deliverables