Director Analytics, Financial Services

Merkle

Remote, US
Base: $136,000 - $191,174; bonus/equity: not speci...
Remote
Customer analytics roadmap
Predictive modeling
Customer lifetime value (clv)
Merkle is seeking a Director of Analytics for Financial Services to lead customer analytics for a key client, focusing on generating insights from data to improve customer engagement. The role requires strong leadership and technical skills in data architecture, analytics, and stakeholder management

Job Summary

  • Lead the customer analytics workstream, including personalization, predictive modeling, customer lifetime value (CLV), and test-and-learn initiatives.
  • Own data quality and governance by leading regular audits, enforcing standards, and ensuring trusted, well-defined, and secure data is consistently ready for analytics and decision-making.
  • Support analytics and reporting across BI and visualization tools (e.g., Tableau, Power BI, Looker).

Matching Summary

Match Score: 85

Merkle is seeking a Director of Analytics for Financial Services to lead customer analytics for a key client, focusing on generating insights from data to improve customer engagement. The role requires strong leadership and technical skills in data architecture, analytics, and stakeholder management.

Salary

Base: $136,000 - $191,174; Bonus/Equity: Not specified; Benefits: Medical, vision, and dental insurance, life insurance, short-term and long-term disability insurance, 401k, flexible paid time off, at least 15 paid holidays per year, paid sick and safe leave, and paid parental leave.

Skills & Requirements

Must-have

  • Customer analytics roadmap
  • Predictive modeling
  • Customer lifetime value (CLV)
  • Test-and-learn initiatives
  • Data quality and governance
  • SQL, Python, R Script

Nice-to-have

  • Client-facing communication
  • Stakeholder management skills
  • GCP environments
  • Salesforce data integration
  • Unstructured data analytics
  • AI readiness
  • Executive communication
  • Storytelling

Key Requirements

  • Proven experience in analytics or data architecture
  • Data science experience
  • Performance-oriented data design
  • ETL/ELT experience
  • Data modeling concepts
  • Analytical data structures
  • Experience leading analytics workstreams
  • Experience working in GCP environments
  • Experience integrating/modeling Salesforce data

Work Rights

Not specified

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