Associate - Analytics Solutions -Bangalore

JPMorganChase; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

JPMorganChase in Hyderabad is seeking an experienced BI Analytics professional to build, enhance, and govern data-driven dashboards for business users. You will partner with stakeholders to translate needs into scalable data models and visualizations using ThoughtSpot, Tableau, SQL, and Python.

The role requires 4+ years in analytics, data warehousing expertise, and hands-on work with Databricks and Snowflake, plus familiarity with GenAI use cases.

Qualifications

• 4+ years of analytics/BI delivery experience.
• Hands-on BI dashboards in ThoughtSpot and Tableau.
• Strong BI best practices, performance tuning and adoption reporting.
• Experience with Databricks and Snowflake.
• SQL proficiency; Python for analytics/workflows.
• Understanding of data warehousing and star/snowflake schemas.
• Exposure to LLMs and GenAI use cases.
• Bachelor's degree in CS/IS.
• Strong communication and stakeholder management.

Responsibilities

• Build, enhance, and support BI dashboards and analytics solutions using ThoughtSpot and Tableau (plus SQL/Python).
• Partner with stakeholders to gather requirements, map source-to-target logic, and define KPIs.
• Design scalable data marts and data models aligned to reporting needs.
• Ensure reporting environments are robust, well-governed, with metadata and lineage.
• Create executive-ready visualizations highlighting trends and insights.
• Tune BI reports for performance by optimizing queries and data models.
• Apply structured problem-solving and GenAI use cases.
• Maintain documentation for architecture, data models, pipelines, and governance.

Skills

BI reporting

ThoughtSpot

Tableau

SQL

Python

Databricks

Snowflake

Data modeling

LLMs / GenAI

Stakeholder management

Communication

Education

Bachelor's degree in CS/IS

Tools

Alteryx

Essbase

ERwin

Jira

Confluence

Job description

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

Job Responsibilities

• Build, enhance, and support BI dashboards and analytics solutions using ThoughtSpot and Tableau (plus SQL/Python; Alteryx as needed).
• Partner with stakeholders to gather requirements, map source-to-target logic, and define calculation rules/KPIs.
• Design and implement scalable data marts and data models (e.g., star/snowflake schemas) aligned to PXT Finance reporting needs.
• Ensure reporting environments are robust, performant, and well-governed (metadata, lineage, documentation).
• Create intuitive, executive-ready data visualizations that highlight trends, variances, insights, and actionable business narratives.
• Tune BI reports and dashboards for performance by optimizing queries, data models, filters, aggregations, and user experience.
• Apply structured problem-solving and "out-of-the-box" thinking to address complex business questions.
• Maintain clear documentation for architecture, data models, pipelines, and governance standards.

Required Qualifications, Capabilities And Skills

• 4+ years of experience in analytics, BI, or data solutions delivery.
• Strong hands-on experience building BI reports/dashboards in ThoughtSpot and Tableau.
• Strong knowledge of BI best practices, including visualization standards, dashboard usability, performance tuning, and adoption-focused reporting.
• Strong experience with Databricks and Snowflake (development and/or optimization).
• Proficiency in SQL and working knowledge of Python for analytics/data workflows.
• Solid understanding of data warehousing, integration, and data modeling (star/snowflake schemas).
• Hands-on exposure to LLMs and GenAI use cases.
• Bachelor's degree in Computer Science, Information Systems, or related field.
• Strong communication and stakeholder management skills; able to translate business needs into data/BI solutions.

Preferred Qualifications, Capabilities And Skills

• Experience with Alteryx, Essbase, ER modeling tools (e.g., ERwin), and enterprise metadata/lineage practices.
• Develop and optimize ETL/ELT workflows and pipelines using Databricks; integrate with Snowflake as the cloud data warehouse.
• Experience working in Agile teams and using Jira/Confluence.
• Background in retail banking/financial services analytics.

Required Soft Skills

• Clear written and verbal communication; strong presentation skills (PowerPoint).
• Collaborative, inclusive team player with strong ownership and initiative.

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 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.