Business Analyst - Data Analytics

The analyst will be responsible for growing and deepening analytics on Cardmember Personalization treatments & end-to-end arbitration framework for digital and non-digital Customer Acquisition Channels. The analyst will analyze the current arbitration framework and recommend improvements in methodology by proposing hypotheses & testing using T&L frameworks. He / She would be expected to collaborate with multiple business partners Decision Science, Marketing, Product and Technology, and stay abreast of any changes and corresponding business impacts. We are looking for self-starters who have strong technical acumen as well as can take initiative and drive engagement in and across the teams.

Roles and Responsibilities:

1.Business Outcomes:

• Drive Revenue & improve business efficiency by strengthening the personalization framework.
• Maintain & improve customer engagement by extending right offers to right customers.
• Influence decisioning across partner ecosystem with strong analytical & strategic thinking.
• Challenge the conceptual soundness, theory, and approach of current arbitration framework.

2. Leadership Outcomes:

• Put enterprise thinking first, connect the role s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders.
• Lead with an external perspective, challenge status quo, and bring continuous innovation to our existing offerings.
• Demonstrate learning agility, make decisions quickly and with the highest level of integrity.

Minimum Qualifications:

• Graduate/Post Graduate Degree in Statistics / Mathematics / Economics / Engineering / Management
• Degree in quantitative field or work experience in the Payments business/ Credit Card business
• Knowledge in statistics like distributions, hypothesis testing, parametric and non-parametric tests etc.
• Expertise in an analytical language (Python, Pyspark or the equivalent), and experience with databases (Hive, SQL or the equivalent)
• Proficient in presentation tools, including Excel and PowerPoint
• Demonstrated ability to frame business problems, leverage external thinking, deliver business insights, and communicate clearly.
• Ability to work effectively in a team environment.

Preferred Qualifications:

• More than 1 year of experience with Payments Industry/Credit Cards Industry or Consumer Fraud/Market risk related experience
• 0-3 years relevant experience in Analytics . Experience in Digital Activity/ Clickstream analysis is a plus
• Practical experience on SQL (Hive, Yellow Brick, Python or Teradata)
• Having exposure to various ML Modelling techniques is a plus.

Benefits include:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities