Director Analytics, Financial Services

Merkle

Maryland, USA
$136,000 - $191,174 py
Fully remote
Customer analytics and data science
Leveraging call center data
Customer segmentation and predictive models
The role focuses on leveraging call center, customer interaction, and data sources 2.0 data to generate insights, create customer segmentation, build predictive models, improve performance, and support business decisioning

Job Summary

  • The role focuses on leveraging call center, customer interaction, and data sources 2.0 data to generate insights, create customer segmentation, build predictive models, improve performance, and support business decisioning.
  • Own the day-to-day analytics relationship with the client, ensuring alignment to business priorities and leading the customer analytics workstream.
  • Benefits available include medical, vision, and dental insurance, life insurance, disability insurance, 401k, flexible paid time off, paid holidays, sick and safe leave, and parental leave.

Matching Summary

The role focuses on leveraging call center, customer interaction, and data sources 2.0 data to generate insights, create customer segmentation, build predictive models, improve performance, and support business decisioning.

Salary

$136,000 - $191,174

Skills & Requirements

Must-have

  • Customer analytics and data science
  • Leveraging call center data
  • Customer segmentation and predictive models
  • Actionable recommendations for client
  • Data quality and governance ownership
  • SQL, Python, R Script proficiency
  • ETL/ELT and data modeling experience

Nice-to-have

  • Client-facing communication and stakeholder management
  • Leadership in analytics workstreams
  • Experience in GCP environments
  • Integrating/modeling Salesforce data
  • Knowledge of emerging capabilities
  • Exceptional executive communication and storytelling

Key Requirements

  • Proven experience in analytics or data architecture and data science
  • Strong SQL, Python, R Script, and performance-oriented data design
  • ETL/ELT experience (SSIS or similar)
  • Strong leadership in understanding of data modeling concepts
  • Strong client-facing communication and stakeholder management skills
  • Experience leading analytics workstreams, teams, and delivering against business objectives
  • Experience working in GCP environments (e.g. BigQuery)
  • Experience integrating/modeling Salesforce data for analytics (preferred)
  • Strong knowledge of emerging capabilities: predictive analytics, unstructured data, text/speech analytics, AI readiness (preferred)
  • Proven ownership of Data Science project (preferred)
  • Exceptional executive communication / insights narratives / storytelling (preferred)
  • Experience in complex, multi-workstream environments (agency or consulting helpful) (preferred)
  • Ability to partner with/orchestrate DS, engineering, and analytics (preferred)

Work Rights

Not specified

Tailored Resume

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