Associate - Analytics Solution

JPMorgan Chase & Co.; Bengaluru; On-site; INR 1,400,000 - 2,100,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an Analytics Solutions Associate – Senior within the CCB Banking and Wealth Management Controllers group.

You will design robust data workflows, build scalable dashboards, and drive production-ready analytics while ensuring governance and data quality across reporting streams. The role emphasizes collaborating with Controllers and finance partners, delivering KPI-focused insights, and leading end-to-end data initiatives with a focus on performance, transparency,

Qualifications

• 7+ years of relevant experience with a B.Tech / MSc in Computer Science (or similar degree).
• 5+ years in data visualization, data management, data warehousing, or unstructured data environments
• Banking/Finance domain experience, ideally in controllership, reporting, or finance governance contexts.
• Advanced SQL and strong data warehousing concepts.
• Strong hands-on experience with the required toolchain: SQL, Python, Alteryx, ThoughtSpot, Databricks.
• Proven track record of leading complex data projects from inception to completion; strong problem-solving.
• Excellent communication skills across Controllers, Finance, and technology partners.
• Certifications in data visualization tools (e.g., Tableau Desktop Specialist, Alteryx Designer Core).
• Experience with machine learning and AI-driven data analytics
• Knowledge of data privacy regulations and best practices for data security.
• Familiarity with Agile methodologies and tools such as JIRA/Confluence.

Responsibilities

• Build and maintain advanced SQL queries and curated datasets for reporting and analysis.
• Develop Alteryx workflows and Python automation for data cleansing and reconciliation checks.
• Design and implement scalable data pipelines and transformations in Databricks.
• Deliver governed self-service analytics in ThoughtSpot with standardized metrics definitions.
• Optimize analytics assets for performance and reliability; ensure fast load times.
• Document data sources, models, transformations, and analytics designs for transparency.
• Translate stakeholder needs into scalable solutions; communicate across teams.
• Contribute to data architecture and governance to strengthen lineage and control.
• Lead end-to-end delivery of complex data initiatives with KPI updates and deadlines.
• Provide day-to-day leadership to foster learning and delivery discipline.

Skills

Advanced SQL

Python

Alteryx

ThoughtSpot

Databricks

Data visualization

Data governance

Agile

Education

B.Tech / MSc in Computer Science

Tools

SQL

Python

Alteryx

ThoughtSpot

Databricks

Job description

Within the JPMorganChase CCB Banking and Wealth Management Controllers organization, the Analytics Solutions Associate – Senior will support core controllership reporting and analytics (e.g., daily/month-end reporting and analysis, management reporting, balance sheet / P&L analytics, data quality monitoring, governance metrics, and ad-hoc executive insights). The successful candidate will design and implement robust data workflows and dashboards, establish and maintain an operating model for moving solutions to production, optimize analytics performance, and ensure strong documentation, transparency while staying current on modern analytics tooling.

Job Responsibilities

Key responsibilities include the following.

• Build and maintain advancedSQLqueries and curated datasets to enable reporting, trend analysis, and explain/bridge analytics.
• DevelopAlteryxworkflows andPythonautomation for data cleansing, transformation, reconciliation support, exception handling, and repeatable control checks.
• Design and implement scalable data pipelines and transformations inDatabricks(e.g., reusable notebooks/jobs, performance-oriented processing patterns) to support controllership analytics.
• Deliver governed self-service analytics inThoughtSpot, partnering with stakeholders to standardize metrics/definitions and improve discoverability of insights.
• Optimize analytics assets for performance and reliability to ensure fast load times and efficient use of system resources.
• Document data sources, data models, transformations, and analytics designs to ensure transparency, auditability, and long-term maintainability.
• Translate stakeholder needs into scalable solutions; communicate effectively across Controllers and partner teams, driving adoption and continuous improvement.
• Contribute to data architecture and data governance practices that strengthen lineage, consistency, and controlled usage of Product Control analytics.
• Lead end-to-end delivery of complex data/MI initiatives, including regular KPI updates and recurring reporting, while managing priorities across multiple concurrent deliverables and stakeholder deadlines.
• Provide day-to-day leadership behaviors (mentoring, best practices, delivery discipline) to foster continuous learning and improvement across the team.

Required Qualifications, Capabilities, and Skills

The role requires the following qualifications and skills.

• 7+ years of relevant experience with a B.Tech / MSc in Computer Science (or similar degree).
• 5+ years in data visualization, data management, data warehousing, or unstructured data environments
• Banking/Finance domain experience, ideally in controllership, reporting, or finance governance contexts.
• Advanced SQL and strong data warehousing concepts.
• Strong hands-on experience with the required toolchain: SQL, Python, Alteryx, ThoughtSpot, Databricks.
• Demonstrated experience delivering production-grade dashboards, analytics solutions, and/or data flows, including operating model and production migration discipline.
• Proven track record of leading complex data projects from inception to completion; strong critical thinking and problem-solving.
• Excellent communication skills with the ability to work effectively across Controllers, Finance, and technology partners.
• Certifications in data visualization tools (e.g., Tableau Desktop Specialist, Alteryx Designer Core).
• Experience with machine learning and AI-driven data analytics
• Knowledge of data privacy regulations and best practices for data security.
• Familiarity with Agile methodologies and tools such as JIRA/Confluence.