- Career Center Home
- Search Jobs
- Data Scientist Associate - SAS, SQL, Python/R
Results
Job Details
Explore Location
JPMorganChase
Bengaluru, Indiana, India
(on-site)
Posted
1 day ago
JPMorganChase
Bengaluru, Indiana, India
(on-site)
Job Type
Full-Time
Job Function
Banking
Data Scientist Associate - SAS, SQL, Python/R
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Data Scientist Associate - SAS, SQL, Python/R
The insights provided are generated by AI and may contain inaccuracies. Please independently verify any critical information before relying on it.
Description
Join a collaborative, inclusive team where you will apply your analytics expertise at scale and grow your career while shaping data-informed marketing decisions.As a Marketing Analytics Senior Associate within the Consumer Card Marketing Analytics team, you apply deep quantitative and qualitative analysis to solve complex business problems and drive growth. You partner closely with cross-functional teams to translate data into strategies that improve campaign performance and customer outcomes. You focus on clear, user-centric insights that align with business priorities and deliver measurable impact.
Job responsibilities
- Owns and advances marketing analytics for consumer card products to solve business problems and accelerate growth
- Evaluates campaign performance using experimental design and delivers P&L impact assessments
- Builds and automates data pipelines using SAS, SQL, and Python to transform large data sets into reliable datasets and insights
- Develops customer segmentation and propensity models to inform differentiated offers and channel strategies
- Translates complex analysis into clear recommendations and executive-ready narratives for partners
- Partners with product, marketing, finance, and risk teams to align analytics with business goals and track outcomes
- Establishes and promotes best practices for data quality, documentation, and reproducibility
Required qualifications, capabilities and skills
- Bachelor's or Master's degree in Statistics, Applied Mathematics, Computer Science, Finance, or a related analytical field
- Four years of experience in marketing analytics, data science, or a similar discipline within consumer or financial services
- Expertise in SAS and SQL for data extraction, transformation, and analysis
- Proficiency in Python or R for data wrangling, statistical analysis, and automation
- Working knowledge of advanced statistical methods such as regression, clustering, and hypothesis testing
- Experience manipulating large, complex datasets and building analytical data models to evaluate business problems
- Strong written and verbal communication skills to convey insights and influence decisions
Preferred qualifications, capabilities and skills
- Understanding of credit card P&L drivers and unit economics
- Experience applying machine learning techniques to marketing use cases
- Experience with A/B testing design and marketing mix modeling
- Familiarity with data visualization tools such as Tableau or similar
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
\n 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.\n
\n
\n
\n
\n
\n 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.\n
Job ID: 82689667
Please refer to the company's website or job descriptions to learn more about them.
View Full Profile
More Jobs from JPMorganChase
Applied AIML Data Scientist - Associate
Jersey City, New Jersey, United States
1 day ago
Senior Lead Software Engineer - React Frontend
Plano, Texas, United States
1 day ago
Software Engineer III - Java, Camunda and React
Chicago, Illinois, United States
1 day ago
Jobs You May Like
Showing data for the city of Bangalore, India.
Median Salary
Net Salary per month
$871
Cost of Living Index
22/100
22
Median Apartment Rent in City Center
(1-3 Bedroom)
$328
-
$871
$600
Safety Index
46/100
46
Utilities
Basic
(Electricity, heating, cooling, water, garbage for 915 sq ft apartment)
$18
-
$55
$29
High-Speed Internet
$8
-
$13
$10
Transportation
Gasoline
(1 gallon)
$4.35
Taxi Ride
(1 mile)
$0.48
Data is collected and updated regularly using reputable sources, including corporate websites and governmental reporting institutions.
Loading...
