Data Product Support Associate - Finance

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

JP Morgan Chase in Bengaluru seeks a Data Product Support Associate to enable reliable planning, forecasting, reporting, and analytics for finance data domains such as Reference, Headcount, Consolidated Financials, FX, and Anaplan.

You will partner with Finance, Technology, and product teams to run day‑to‑day operations, improve data quality, and drive automation across the firm’s financial data ecosystem. This mid‑level role emphasizes control discipline and cross‑functional collaboration.

Qualifications

• Bachelor's degree in a technical/business discipline.
• Strong understanding of finance planning, forecasting, actuals, budget, and reporting processes.
• Hands‑on experience supporting business‑critical applications or data products.
• Advanced proficiency in SQL and relational databases for large data sets.
• Experience with data analysis, data wrangling, or automation tools like Databricks, Python, Alteryx, Essbase/Dodeca/Anaplan Excel (AXL).
• Strong data quality mindset: profiling, cleansing, validation, reconciliation, lineage, metadata, and exception management.
• Working knowledge of controls, audit readiness, evidence retention, change management, and operational risk in finance/tech.
• Experience documenting runbooks, SOPs, processes, requirements, test cases, issue logs, and artifacts.

Responsibilities

• Support BAU operations for finance data products ensuring reliable availability and timely issue resolution.
• Perform production monitoring, issue triage, data validation, and reporting support.
• Document runbooks, SOPs, process flows, requirements, test cases, and artifacts.
• Engage with Finance, Planning & Analysis, Technology, and product teams to validate outcomes and requirements.
• Assist with UAT, change management, backlog prioritization, and delivery of enhancements.
• Contribute to modernization initiatives and scalable operating models.
• Communicate complex issues clearly to both technical and non‑technical stakeholders.

Skills

SQL

Data analysis

Stakeholder communication

Product support

Data quality

Education

Bachelor's degree in Accounting, Finance, Information Systems, CS, Engineering

Tools

Databricks

Python

Alteryx

Essbase

Dodeca

Anaplan

Excel (AXL)

Job description

Data Product Support - Associate

You are a strategic thinker passionate about strengthening the reliability and scalability of firmwide finance data products. You have found the right team. As a Data Product Support Associate supporting Finance Planning & Analysis data products, you will spend each day enabling reliable planning, forecasting, reporting, and analytics by supporting critical finance data domains including Reference, Headcount, Consolidated Financials, FX, and Anaplan. You will be responsible for partnering with Finance Planning & Analysis, Technology, and product teams to run day‑to‑day operations, improve data quality and controls, and contribute to modernization and automation across the firm’s financial data ecosystem. Our Finance data product teams are responsible for a wide range of activities including operational support and issue triage, data quality monitoring and control execution, stakeholder management across Finance and Technology, and delivery of enhancements that improve the reliability, scalability, and automation of finance data processes.

Job responsibilities

Support business‑as‑usual operations for finance data products across Reference, Headcount, Consolidated Financials, FX, Anaplan, etc. ensuring reliable availability, accurate processing, and timely issue resolution for finance stakeholders. The role will include production support, issue triage, data validation, reporting support, process documentation, user engagement, UAT, and continuous improvement. The ideal candidate combines strong finance and data analysis skills with a product‑oriented mindset, sound control discipline, and the ability to translate complex business and data issues into clear, actionable outcomes. Partner with Finance, Planning & Analysis, Technology, and product teams to understand business requirements, validate data outcomes, and support delivery of enhanced system and reporting capabilities. Work with Technology and product owners to define requirements, support backlog prioritization, participate in UAT, validate fixes/enhancements, and assist with change management activities. Maintain clear runbooks, SOPs, operating procedures, process flows, issue logs, and evidence artifacts to support operational consistency, knowledge transfer, audit readiness, and control transparency. Extract, analyze, and summarize structured and unstructured data to support ad‑hoc stakeholder requests, operational reviews, business analysis, and leadership updates. Translate complex technical, data, and process issues into clear communications for both technical and non‑technical stakeholders. Support modernization initiatives across finance data platforms, including improvements to data models, reporting architecture, automation pipelines, self‑service capabilities, and scalable operating models. Operate effectively in a fast‑paced environment using agile delivery practices.

Required Qualifications, Capabilities, and Skills

Bachelor's degree in Accounting, Finance, Information Systems, Computer Science, Engineering, or a related technical/ business discipline.

Strong understanding of finance planning, forecasting, actuals, budget, outlook, allocation, reporting, and management reporting processes.

Hands‑on experience supporting business‑critical applications or data products, including production monitoring, issue triage, root cause analysis, data validation, and stakeholder communication.

Advanced proficiency in SQL and relational databases, with the ability to query, transform, reconcile, and analyze large datasets.

Practical experience with data analysis, data wrangling, or automation tools such as Databricks, Python, Alteryx, Essbase/Dodeca/Anaplan Excel (AXL), or similar platforms.

Strong data quality mindset, including experience with profiling, cleansing, validation, reconciliation, lineage, metadata, and exception management.

Working knowledge of controls, audit readiness, evidence retention, change management, and operational risk management in a finance or technology environment.

Experience documenting runbooks, SOPs, process flows, requirements, test cases, issue logs, and implementation artifacts.

Preferred Qualifications, Capabilities, and Skills

4+ years of experience in finance technology, data analytics, product support, business analysis, reporting operations, or financial data management, preferably within the financial services industry.

Self‑directed, intellectually curious, detail‑oriented, and comfortable managing multiple priorities under tight timelines.

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.

Experience Level Mid Level