Qualtrics/Tableau - Analytics - Associate in Bangalore, भारत

Job Description

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in the Project Management team to partner with the Business.

 

As an Associate in the International Private Bank Employee Experience (EX) team , you will be responsible for survey platforms, visualization, and experience analytics, with strong emphasis on Qualtrics and Tableau. You will own the optimization of survey programs, dashboards, and insights across the Employee Experience team. You will also leverage Python, SQL, and automation to enhance data pipelines, scale reporting, and streamline process.

Job Responsibilities:

•Design, build, and manage survey programs in Qualtrics (distribution, logic, languages, reporting)Ensure consistency and alignment across global survey campaigns. Support feedback ingestion, issue triaging, and insight generation from survey data. Partner with stakeholders to translate business needs into survey design and outputs.

•Develop and maintain Tableau dashboards (data modeling, parameters, RLS, governance)Deliver scalable reporting solutions for global stakeholders. Build executive-ready views summarizing key trends, drivers, and experience gaps. Own dashboard performance, usability, and governance standards.

•Build and maintain automated data pipelines using Python, Snowflake, and SQL Streamline reporting, survey ingestion, and transformation workflows. Enhance scalability and reliability of analytics processes.

 

Required qualifications, capabilities, and skills:

•Over 7 years of experience 

•Strong Qualtrics experience (survey design, distribution, reporting)

•Strong Tableau expertise (Data modeling, parameters, governance); dashboard/metrics

•Python experience (minimum 4 years) for data pipelines and automation.

•Advanced Excel/PowerPoint/Word; exposure to Agile + CI/CD

•Strong analytics + stakeholder communication; influence, ownership, detail-oriented

 

Preferred qualifications, capabilities, and skills:

•Experience in Wealth Management or financial services

•Experience with Databricks preferred

•Statistical analysis (e.g., regression, driver analysis)

•Exposure to AI/ML or text analytics (NLP, LLM use cases)

•Familiarity with Jira

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

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.​