Data Scientist Associate - SAS, SQL, Python/R at JPMC Candidate Experience page

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

26 May, 26

Salary

0.0

Posted On

25 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sas, Sql, Python, R, Marketing Analytics, Quantitative Analysis, Qualitative Analysis, Experimental Design, P&L Impact Assessment, Data Pipelines, Customer Segmentation, Propensity Models, Regression, Clustering, Hypothesis Testing, Data Quality

Industry

Financial Services

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 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. 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. 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.

Responsibilities

The role involves owning and advancing marketing analytics for consumer card products to solve business problems and accelerate growth by evaluating campaign performance and assessing P&L impact. Responsibilities include building and automating data pipelines using SAS, SQL, and Python, developing customer segmentation models, and translating complex analysis into clear executive recommendations.