Director of Analytics managing customer analytics for key financial services client. Leveraging data sources for insights, segmentation, and performance improvement.
Responsibilities
Own the day-to-day analytics relationship with the client, ensuring alignment to business priorities
Manage junior team members working on same client project
Define and evolve the customer analytics roadmap aligned to business priorities
Lead the customer analytics workstream, including personalization, predictive modeling, customer lifetime value (CLV), and test-and-learn initiatives
Lead and mentor on-account analysts, ensuring quality and consistency of delivery
Ensure tagging and data capture support measurement and reporting needs through partnership with technical teams
Report to Senior Director, Analytics, Financial Services
Oversee development and use of data assets and models to support analytics and insights
Apply customer, Data Source 2.0, and call center data (e.g., dispositions, outcomes, operational KPIs, QA/CSAT signals, omni-channel interactions) to drive segmentation, targeting, and performance optimization
Enable ETL/ELT, data modeling, and dimensional design for future expansion.
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 (including sensitive customer data)
Partner across analytics, engineering, operations, and marketing to execute against client needs
Support analytics and reporting across BI and visualization tools (e.g., Tableau, Power BI, Looker)
Support modernization of legacy data and analytics processes
Maintain documentation standards to support consistent and scalable analytics delivery
Requirements
Proven experience in analytics or data architecture and data science within an analytics-driven environment (e.g., modeling, mappings, lineage, documentation)
Strong SQL, Python, R Script, and performance-oriented data design; ETL/ELT experience (SSIS or similar).
Strong leadership in understanding of data modeling concepts and analytical data structures (facts/dimensions).
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 (service/case/activity and customer interaction patterns) (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)
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