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Consulting at Ernst & Young
Views:934 Applications:240 Rec. Actions:Recruiter Actions:211
EY - Manager - Credit Card Analytics (5-10 yrs)
- Experience Range: 5 to 8 years (At least 3 Years relevant experience)
- Notice Period: Immediate to 45 days NP
- Location: Bangalore/Pune (Initial 6 months can be remote)
Important Points:
- Marketing Analytics (Banking) or Credit Card
- Should have relevant exp in Credit Card & Analytics as well - 3 years
- Analytics profiles only
1. Candidate should have experience in Marketing Analytics with projects like Market segmentation, A/B Testing etc and also Python is good to have skill.
2. Check if the candidate has worked on Credit cards Analytics and has experience in Credit card domain.
3. Check for stakeholder management point (must)
4. Tech stack: SAS and SQL are a must.
5. Credit card domain is a must, Experience with co-branded credit cards will be a good to have
6. Use Cases - Acquisition of New Credit Cards, Customer Marketing, Increase Balances, Drive higher spends etc.
7. Soft Skills: Great Communication, confident, high energy and should be able to independently deliver
8. No Reporting and Data extraction work. Purely Data Strategy role.
- Working for The Home Depot portfolio in the U.S. Engage with multiple stakeholders to design the Growth Strategies, Credit Lifecycle Strategies, Product Roadmap, Customer Journey Mapping for Private Label Credit Cards
- Worked on di- erent acquisition strategies to target 2MM consumers and 6MM prospects for commercial card increasing the base by 10% YoY of Commercial Portfolio and annual Incremental impact of $120MM from New Account PL sales
- Designed store segmentation framework to evaluate high credit potential stores. The strategy implemented by Field sales Reps drove +5% visit cadence and $30 MM top line impact.
- Worked on multiple ECM campaigns with Line increase & retention strategies to engage Low Wallet customers and retain LTI consumer accts. Worked on Risk strategies to rede- ne the Line assignment for Construction Businesses
- Forecasted THD Sales with di- erent bureau, consumer behavioural & macro features(3 month lag) with di- erent modelling techniques.Prediction with 3-5% quarterly variance
- Re-designed the existing Value Prop for Commercial Portfolio which increased the new applications - ow rate by 2x (YOY) and incremental sales by 18%(YOY) for Jan'2022. Wallet share improved by 6% and Penetration Rate improved by 4%(YOY)
- Improved digital adoption of customers to engage on Proxtra Platform for CRC(10% incr. response ) and AO enrollment for Prox(5% incr. response)
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