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Alumni Career Site
1 week ago
Quant Analytics Associate - SAS, SQL, Python
Alumni Career Site
4 to 8 Yrs
- Regular
- Job Details
Job Details
- We thrive on curiosity, passion, optimism, and the belief in continuous growth for everyone.
As a Quant Analytics Associate within the Card Acquisitions Forecasting & Offers Analytics team, you will transform data into actionable insights that drive investment strategies for credit card acquisitions. With a strong analytical background, proficiency in data processing and visualization, and the ability and willingness to collaborate effectively with multiple partners, you will be a key member of the team that drives sustainable growth in the Card business.
Job responsibilities
Will own and support marketing analytics for spend engagement for all card products.A key area of analytical exercise is to evaluate effectiveness of marketing campaigns and perform P&L evaluation
Create accurate and timely analyses on a wide variety of areas including marketing offer operational performance, trend analysis, campaign performance and subscriber behavior and responses to marketing offers
Develop and maintain operational dashboards to assist business functions
Partner with cross functional teams such as Finance, Strategy, Product and Customer Care to understand enterprise trends, competitive environment and their impacts on customer behavior and provide conclusions and recommendations to business owners
Ability to synthesize large volumes of data into meaningful insights and drive actionable strategies in card services.
Perform advanced analytics (eg: develop customer segmentation) leveraging statistical techniques to develop framework for differentiated offering strategies to drive marketing efficiencies.
Interact regularly with business units, understand business goals and priorities and play the role of an effective partner to devise strategies with customer focused analysis and performance to realize growth opportunities. Support business growth targets by understanding business needs and providing concise, insightful and timely analytics for key trends through data analysis
Must be self-directed, organized and detail oriented as well as have the ability to multitask and work effectively in a fast paced environment
Required qualifications, capabilities, and skills
BS/BA/MS in an analytical field (e.g., Statistics, Applied Mathematics, Computer Science, Finance) with minimum 4 years of relevant experience.
Expert in SAS/SQL. Proficiency with programming languages such as R/Python
Working knowledge of advanced statistical concepts (essential) and machine learning techniques (Nice to have)
Experience with manipulating large and complex databases and developing appropriate data models to evaluate and solve business problems
Strong oral and written communication skills
Experience in summarizing data and building presentations using Powerpoint
Preferred qualifications, capabilities, and skills
Intermediate to expert experience with data ETL and visualization tools, e.g., Snowflake, SAS, Python, R, Alteryx, Tableau, Excel, Powerpoint, etc.
Experience in credit cards and/or retail banking
Understanding of credit card P&L is preferred
Understanding of digital marketing tools (Google Analytics, Adobe Analytics) is preferred,
Other Details
- Industry BFSI
- Recruiter Details Alumni Career Site
- Job Tags python, sql
- Job Type Full time
Key Skills
Recruiter Details
- Alumni Career Site
- Other Karnataka
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Company Details
Alumni Career Site