Data Product Support - Associate

JPMorgan Chase & Co.; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

JPMorgan Chase & Co. Bengaluru seeks a Data Product Support Associate to enable reliable planning, forecasting, reporting, and analytics across finance data domains like 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 contribute to automation across the finance data ecosystem.

Qualifications

• Bachelor’s degree in a relevant field.
• Strong understanding of finance planning, forecasting, and reporting processes.
• Hands-on experience with production monitoring, data validation, and stakeholder communication.
• Experience with Databricks, Python, Alteryx, Essbase/Dodeca/Anaplan and Excel.

Responsibilities

• Support BAU operations for finance data products across Reference, Headcount, Consolidated Financials, FX, Anaplan.
• Perform production support, issue triage, data validation, and reporting support.
• Translate complex data issues into actionable outcomes for stakeholders.
• Collaborate with Finance, Technology and product teams to define requirements and support backlog.

Skills

SQL

Data analysis

Stakeholder communication

Agile delivery

Education

Bachelor's degree in Accounting, Finance, IS, CS, Engineering or related

Tools

Databricks

Python

Alteryx

Essbase

Dodeca

Anaplan

Excel

AXL (Anaplan Excel)

Job description

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.