Analytics Solution Associate

You are a strategic thinker passionate about driving solutions in Analytics Solutions. You have found the right team.

As an Analytics Solutions Associate in our Data and Transformation team, you will promote innovation and efficiency in our analytics and reporting capabilities. Data and Transformation team to drive innovation and efficiency in our analytics and reporting capabilities. This role focuses on the development, enhancement, and support of data visualization and analytics platforms, leveraging tools such as Qlik Sense, Tableau, Alteryx, Python, and SQL. The ideal candidate will have a strong analytical mindset, a passion for automation, and the ability to work collaboratively in a dynamic environment.

Job Responsibilities :

Develop, enhance, and support data visualization and analytics solutions using Qlik Sense, Tableau, Alteryx, Python, and SQL.

Maintain and support existing infrastructure, processes, and analytics platforms.

Implement automation solutions to streamline data workflows and reporting processes.

Collaborate with stakeholders to gather requirements, deliver insights, and drive business value through data.

Work on enhancements and continuous improvement initiatives for current tools and processes.

Apply analytical and out-of-the-box thinking to solve complex business problems.

Ensure data quality, integrity, and compliance with regulatory standards.

Manage multiple priorities and projects in a fast-paced, collaborative environment.

Required qualifications, capabilities, and skills:

Minimum 3 years of experience in data strategy, data management, analytics, or finance transformation roles.

Proficiency in Qlik Sense or Tableau, Alteryx, Python, or other data analysis languages.

Experience with cloud data platforms such as Data Bricks or AWS.

Hands-on experience with data visualization tools (e.g., Qlik Sense, Tableau).

Strong communication, stakeholder management, and project management skills.

Demonstrated ability to learn and adapt quickly in a collaborative, fast-paced environment.

Preferred qualifications, capabilities, and skills

Experience in financial services or a regulated industry is a plus.

Bachelor's degree in Data Science, Computer Science, or a related field, preferably with a financial or analytical discipline.

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's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

Client-provided location(s): Mumbai, India

Job ID: JPMorgan-210742155

Employment Type: FULL_TIME

Posted: 2026-05-01T19:28:09