We are hiring 2 hands-on CVM / Segmentation Specialists to support customer segmentation, profiling, and campaign targeting for a Retail Banking client. This is a hands-on execution role not a strategy-only or purely advisory position focused on turning customer data into actionable commercial insights that drive campaign performance.

Key Responsibilities

• Build and maintain customer segmentation models based on behavior, value, and lifecycle stage
• Conduct customer profiling and behavioral analysis to identify targeting opportunities
• Support campaign targeting by translating segmentation outputs into actionable audience lists
• Analyze campaign performance and customer response, feeding insights back into segmentation logic
• Develop and maintain BI/reporting dashboards to track CVM metrics and campaign KPIs
• Collaborate with marketing, BI, and product teams to convert data into commercial actions
• Continuously refine segmentation frameworks based on performance data and business feedback

Must-Haves

• Strong background in Retail Banking / CVM analytics
• Hands-on experience building segmentation models (RFM, behavioral, value-based, etc.)
• Proven customer behavior analysis and profiling experience
• Strong BI/reporting skills (Power BI, Tableau, SQL, or similar)
• Ability to translate data into actionable commercial/campaign recommendations
• [Assumption] 4 6 years of relevant experience flag if you want a different range

Nice-to-Haves

• Experience with campaign management platforms (SAS CI, Adobe Campaign, etc.)
• Exposure to predictive/propensity modeling
• Prior experience in a banking or telco CVM function specifically

Why Join Us

• Work on high-impact, data-driven initiatives with a leading Retail Banking client
• Collaborative, hands-on environment with direct visibility into campaign outcomes
• Opportunity to shape segmentation strategy from the ground up

Desired Candidate Profile

Must-Haves

• Strong background in Retail Banking / CVM analytics
• Hands-on experience building segmentation models (RFM, behavioral, value-based, etc.)
• Proven customer behavior analysis and profiling experience
• Strong BI/reporting skills (Power BI, Tableau, SQL, or similar)
• Ability to translate data into actionable commercial/campaign recommendations
• [Assumption] 4 6 years of relevant experience flag if you want a different range

Nice-to-Haves

• Experience with campaign management platforms (SAS CI, Adobe Campaign, etc.)
• Exposure to predictive/propensity modeling
• Prior experience in a banking or telco CVM function specifically