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The Director of Data Analytics and Customer Insights will lead the development of advanced analytics and reporting capabilities that drive a deeper understanding of customer behavior, business performance, and experience drivers. This role will guide strategy through data, connecting the dots across customer journeys, loyalty programs, CRM, and operational touchpoints to uncover actionable insights and enable personalization at scale.
Job Responsibility:
Develop and lead the customer analytics roadmap aligned to loyalty, marketing, operations, and experience objectives
Oversee the design and implementation of dashboards, segmentation models, predictive analytics, and lifetime value frameworks
Deliver regular reporting on customer performance (e.g., acquisition, retention, frequency, spend, satisfaction) to stakeholders across the enterprise
Translate complex data into clear, compelling narratives that inform senior leaders and influence business strategies
Identify key drivers of customer behavior and recommend actions to improve satisfaction, loyalty, and commercial outcomes
Partner with the Voice of Customer and Market Research teams to connect structured and unstructured insights
Advance customer journey analytics and personalization strategies in collaboration with the Commercial team and strategic priorities
Build models that support next-best action, customer propensity, and channel optimization
Enhance measurement frameworks for marketing and lifecycle campaigns
Partner across the Commercial organization to prioritize analytics needs and integrate data into decision-making
Serve as an internal consultant on customer data strategy and test-and-learn design
Lead and mentor a team of data analysts and customer insight professionals
Build scalable practices for data governance, visualization, and stakeholder communication
Requirements:
Bachelor’s degree in Data Science, Statistics, Economics, Marketing, or a related field
Master’s preferred. OR equivalent combination of training, education & relevant experience
Strong command of SQL, Python/R, and data visualization tools (e.g., Tableau, Power BI)
Experience with customer segmentation, regression analysis, forecasting, and LTV modeling
Demonstrated ability to influence business outcomes through data storytelling
Strong project management skills and the ability to prioritize across multiple stakeholders
Excellent analytical skills
Strong written and verbal communication skills
Strong supervisory, management and organizational skills
Strong, broad-based PC skills (Microsoft Word, Powerpoint, and Microsoft Excel)
Strong interpersonal relationships and skills
Experience with managing large databases
Nice to have:
11-14 years of experience in analytics, business intelligence, or customer insights, with at least 3+ in a leadership capacity
Master’s preferred
What we offer:
health, dental, and vision plans
health savings accounts
wellness programs
flexible spending accounts
401K retirement plan with employer match
life insurance
short and long term disability insurance
paid time off
back-up care
adoption assistance
surrogacy assistance
reimbursement of education expenses
Public Service Loan Forgiveness eligibility
Railroad Retirement sickness and retirement benefits