Director Marketing Performance Analytics

About the Role

Key Responsibilities

• Partner closely with Product Owners, Marketing Ops Channel Owners, Sales, Digital Designers, Technology, Engagement, Growth, and Activation partners as the Data Lead for their assigned Line of Business.
• End to end responsibility for Data related tasks in marketing execution, including acting as a strategic marketing thought leader on large-scale campaigns.
• Provide Strategic Data Leadership and influence business partners to adopt best practices for measurement, including what should be measured, how to measure it, and the value created.
• Uncover and validate meaningful data from across the organization, integrating it into reporting and insights.
• Drive a cross-team culture of data-driven decision making.
• Discover, define, and create target audiences in partnership with Customer Insights and Marketing Data Engineering.
• Establish data needs for proper segmentation within the MarTech environment and create connections between key business data and marketing data systems.
• Provide clear paths for data connection to business outcomes and manage overall agile POD performance against OKRs.
• Recommend and prioritize strategic testing opportunities to improve conversion rates and customer journeys.
• Create and manage reporting and data visualization, synthesize key performance metrics, and share insights with stakeholders during Sprint Reviews.

Requirements

• 5-8 years of professional experience in a digital, product, or finance role.
• 3+ years of experience analyzing multi-channel campaigns to generate insights that inform test and learn strategies.
• 3+ years of professional experience with CRM systems such as Salesforce.com or Microsoft Dynamics.
• 3+ years of data visualization experience for creating dashboards.
• Adept at data presentation using dashboards, Excel, and PowerPoint.
• Deep understanding of analytics, marketing metrics, statistics, and financial metrics.
• Proven track record of improving customer journeys and acquisition funnels.
• Strong interpersonal and communication skills, with a consultative approach to cross-functional collaboration.
• Excellent project management skills and ability to meet deadlines.

Nice to Have

• Experience with Azure data lake and big data platforms.
• Experience with database tools (MySQL, SQL Server).
• Experience with statistical tools such as R, SAS, Python, and techniques like segmentation, regression modeling, and customer lifetime value.
• Knowledge of analytics platforms and business intelligence tools.
• Prior experience with Alteryx or similar data automation platforms.
• Experience with attitudinal and social media measurement tools (Medallia, Sprinklr).
• Experience with web analytics and testing tools (Adobe Analytics, Adobe Target, Google Analytics).
• Ad server experience (Google Ad Manager, OpenX).

Qualifications

• Educational background is not explicitly specified but implied to include relevant professional experience.

Benefits & Perks

• Comprehensive health plans including medical, prescription drug, vision, and dental insurance.
• No-cost short- and long-term disability insurance.
• Company-paid life insurance and legal services.
• Retirement pension funded by MetLife and 401(k) with employer matching.
• Group discounts on voluntary insurance products including auto, home, pet, critical illness, hospital indemnity, and accident insurance.
• Employee Assistance Program (EAP) and digital mental health programs.
• Parental leave, volunteer time off, tuition assistance, and more.