Data Analyst - Tableau Power BI - Associate

JPMorganChase; Mumbai; On-site; INR 900,000 - 1,500,000; Full time

Job summary

JPMorganChase in Mumbai seeks a Data Operations Associate to analyze complex data, build reporting, and deliver insights that drive operational outcomes. You will collect data from multiple sources, validate quality, and create dashboards supporting decision-making.

The role emphasizes applying SQL and Python/R, crafting visualizations with Tableau/Power BI, and communicating insights to diverse stakeholders in a fast-paced environment.

Qualifications

• Experience in data analytics or BI.
• Use SQL and Python or R to analyze and transform data.
• Build dashboards and visualizations with Tableau or Power BI.
• Strong analytical and problem-solving skills with attention to detail.
• Communicate complex insights to non-technical audiences.
• Operate independently and in cross-functional teams.

Responsibilities

• Collect large data sets from multiple sources to identify trends, patterns, and actionable insights.
• Develop dashboards, reports, and visualizations that support business objectives and decision‑making.
• Collaborate with cross‑functional partners to translate business needs into data‑driven solutions.
• Conduct exploratory analysis to uncover opportunities for optimization and performance improvement.
• Implement data models, algorithms, and statistical methods for predictive analytics.
• Validate data quality through routine checks and cleansing activities.
• Monitor industry trends and analytics best practices to strengthen insight generation.
• Present findings and recommendations to technical and non‑technical stakeholders.

Skills

SQL

Python or R

Data Analytics

Storytelling

Team Collaboration

Independent Work

Dashboarding

Business Intelligence

Education

Bachelor's degree

Tools

Tableau

Power BI

Job description

Job Description:

Elevate your career with a visionary team where your analytics expertise fuels growth, mobility, and measurable operational impact.

As a Data Operations Associate within the Data Operations team, you will analyze complex data sets to generate actionable insights that support data-driven decision-making across the organization. You will collect, validate, and use data effectively to define requirements, build reporting, and deliver comprehensive analysis that informs operational outcomes. You will apply advanced technical and problem-solving skills across multiple applications of moderate scope to design metrics reporting and dashboards while ensuring adherence to controls, policies, and procedures.

Job Responsibilities:

• Collect large data sets from multiple sources to identify trends, patterns, and actionable insights.
• Develop dashboards, reports, and visualizations that support business objectives and decision‑making.
• Collaborate with cross‑functional partners to translate business needs into data‑driven solutions.
• Conduct exploratory analysis to uncover opportunities for optimization and performance improvement.
• Implement data models, algorithms, and statistical methods that enable predictive and prescriptive analytics.
• Validate data quality through routine checks, cleansing activities, and issue follow‑up.
• Monitor industry trends and analytics best practices to strengthen insight generation and reporting approaches.
• Present findings and recommendations in clear, concise formats tailored to technical and non‑technical stakeholders.

Required qualifications, skills, and capabilities:

• Demonstrate experience in data analytics, business intelligence, or a related role.
• Apply SQL and programming languages such as Python or R to analyze and transform data.
• Build dashboards and visualizations using tools such as Tableau or Power BI.
• Leverage strong analytical and problem‑solving skills with attention to detail.
• Communicate complex insights effectively to non‑technical audiences through written and verbal storytelling.
• Operate effectively both independently and collaboratively in a fast‑paced environment.

Preferred qualifications, skills, and capabilities:

• Earn a bachelor's degree.
• Execute query writing and query execution using data analysis tools.
• Obtain certifications in data technology, Agile, or project management applications.
• Demonstrate familiarity with machine learning techniques and tools.
• Developing experience using AI‑powered analytics, workflow automation, or intelligent process tools to drive efficiency gains, reduce manual effort, or improve accuracy in operational processes.

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.

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.