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JPMorganChase
Mumbai, Indiana, India
(on-site)
Posted
1 day ago
JPMorganChase
Mumbai, Indiana, India
(on-site)
Job Type
Full-Time
Job Function
Banking
Commercial and Investment Banking -Marketing Analytics
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Commercial and Investment Banking -Marketing Analytics
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
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 our team to partner with the Business to provide a comprehensive view.As a Marketing Analytics Specialist within our marketing and sales organization, you will develop and deliver analytics that directly support revenue generation, including client propensity modeling, opportunity sizing, and next-best-action frameworks.
Job Responsibilities:
- Revenue & Strategy Analytics Develop and deliver analytics that directly support revenue generation, including client propensity modeling, opportunity sizing, and next-best-action frameworks. Translate analytical findings into clear strategic recommendations for business and marketing stakeholders.
- Campaign & Marketing Insights Measure and evaluate the effectiveness of marketing campaigns and programs across channels. Build frameworks for attribution, engagement scoring, and audience segmentation that enable marketers to target clients with greater precision and impact.
- Dashboards & Visualization Design, build, and maintain interactive dashboards and reporting solutions that provide stakeholders with self-service access to key marketing and revenue metrics. Ensure reporting is accurate, timely, and aligned with business priorities.
- Stakeholder Partnership Collaborate with marketing, sales, and business teams globally to understand their analytical needs, translate business questions into data problems, and deliver insights that drive action. Communicate complex findings in a clear, compelling manner to both technical and non-technical audiences.
Required qualifications, capabilities and skills:
- 6+ years of hands-on experience in data analytics or a related quantitative role.
- Advanced proficiency in SQL - you should be highly comfortable writing complex queries, optimizing performance, and working across large relational databases.
- Strong proficiency in Python for data manipulation, analysis, and automation (e.g., pandas, NumPy, and related libraries).
- Proven ability to create dashboards and visualizations using tools such as Tableau, Power BI, or equivalent platforms.
- Strong analytical thinking - demonstrated ability to take ambiguous business questions, structure them as data problems, and deliver clear, insight-driven answers.
- Excellent communication skills - you can present data findings and recommendations to senior stakeholders and non-technical audiences with clarity and confidence.
- Bachelor's degree in a quantitative or technical field such as Computer Science, Data Science, Statistics, Information Systems, Economics, or equivalent practical experience.
Preferred qualifications, capabilities and skills :
- Familiarity with machine learning concepts and experience building basic predictive models.
- Conceptual understanding of Generative AI - while hands-on experience is not required, a solid grasp of Gen AI concepts such as large language models, prompt engineering, retrieval-augmented generation, and how these technologies can be applied to enhance analytics and marketing workflows would be highly valued.
- Data engineering experience - familiarity with building and maintaining ETL/data pipelines, extracting, transforming, and loading data from disparate sources into structured, analysis-ready formats.
- Experience working with marketing data platforms such as Marketo, Adobe Analytics, Salesforce, or Google Analytics.
- Experience with cloud-based data platforms such as Databricks, Snowflake, or AWS-based analytics services.
- Exposure to AI-driven BI tools such as ThoughtSpot, Databricks Genie, or similar next-generation analytics platforms.
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.
Job ID: 83253719
Please refer to the company's website or job descriptions to learn more about them.
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