Associate - Analytics Solution

JPMorganChase; Bengaluru; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

JPMorganChase seeks an Analytics Solutions Associate – Senior to support core controllership reporting and analytics, including daily/month-end reporting, balance sheet/P&L analytics, and data quality monitoring. You will design data workflows, build dashboards, and maintain an operating model for production readiness while staying current on analytics tooling.

You will lead end-to-end data initiatives, deliver governance-focused insights, and collaborate across Controllers, Finance, and

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.
• Demonstrated experience delivering production-grade dashboards, analytics solutions, and/or data flows.
• Proven track record of leading complex data projects from inception to completion.
• 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.

Responsibilities

• Build and maintain advanced SQL queries and curated datasets for reporting and trend analysis.
• Develop Alteryx workflows and Python automation for data cleansing and reconciliation support.
• Design scalable data pipelines and transformations in Databricks for controllership analytics.
• Deliver governed self-service analytics in ThoughtSpot with standardized metrics.
• Optimize analytics assets for performance and reliable resource use.
• Document data sources, models, transformations, and analytics designs.
• Translate stakeholder needs into scalable solutions and drive adoption.
• Lead end-to-end complex data/MI initiatives with KPI updates and deadlines.
• Provide day-to-day leadership behaviors to foster learning and improvement.

Skills

Advanced SQL

Python

Alteryx

ThoughtSpot

Databricks

Data visualization

Data warehousing

Data governance

Communication skills

Agile (JIRA/Confluence)

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 advanced SQL queries and curated datasets to enable reporting, trend analysis, and explain/bridge analytics.
• Develop Alteryx workflows and Python automation for data cleansing, transformation, reconciliation support, exception handling, and repeatable control checks.
• Design and implement scalable data pipelines and transformations in Databricks (e.g., reusable notebooks/jobs, performance-oriented processing patterns) to support controllership analytics.
• Deliver governed self-service analytics in ThoughtSpot, 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.

ABOUT US

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.

About The Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.