
Director, Digital Marketing Data & Analytics
- New York City, NY
- $99,200-168,600 per year
- Permanent
- Full-time
- Leadership & Collaboration:
- Serve as the primary point of contact for data analysis and reporting needs across North America marketing and communication teams.
- Collaborate with the broader Marketing organization, IT, engineering, product owners, businesses, and external partners to create a strategic marketing data roadmap.
- Lead cross-functional teams to integrate data sources and ensure seamless data flow and governance.
- Lead development and presentation of departmental monthly, quarterly, and yearly KPI reporting.
- Data Strategy & Execution:
- Design success metrics and campaign KPIs, manage paid media spend, and oversee campaign and department reporting.
- Develop and implement data-driven strategies to support prospecting efforts, marketing analytics, and sales growth.
- Drive Data and Engineering teams and projects in order to ensure data is well structured and centralized to create best of class reporting, dashboards and visualization.
- Build and maintain real-time performance dashboards using tools like Qlik, Power BI, and Google Looker Studio.
- Advanced Analytics & Insights:
- Conduct advanced analytics, including predictive modeling and segmentation analysis, to identify high-value leads and inform marketing campaigns.
- Utilize Google Analytics and other platforms for behavioral analytics to derive insights and tailor strategies.
- Provide data-driven recommendations to optimize digital marketing spend, focusing on ROI and customer engagement.
- Project Management:
- Manage data projects related to onboarding new agencies, webpage redesign, and automation efforts.
- Establish automated workflows and optimize data pipelines for improved performance and reliability.
- Ensure reporting tools can display results by various agency distribution segments.
- 5-7 years of experience in digital marketing analytics, demand-based data-driven digital marketing, or related fields in a sales-focused B2B and B2C environment, preferably in insurance or financial services.
- Expertise in Google Analytics, Salesforce Marketing Cloud, Marketo, and data integration processes.
- Competency in SQL, QlikSense, Tableau, Power BI, Excel, Looker Studio, and data visualization tools.
- Familiarity with scripting languages like Python or R for advanced data analysis.
- Strong knowledge of data warehousing and ETL processes for data extraction, transformation, and loading.
- Excellent collaboration skills and ability to manage multiple projects and stakeholders simultaneously.
- Experience with marketing automation platforms and data integration processes (e.g., CDP, DMP, CRM, SFMC).
- Experience working with large datasets, ensuring data quality, integrity, and governance practices.
- Strong understanding of data privacy regulations (e.g., GDPR, CCPA) and ensuring data governance best practices.
- Bachelor's degree required.
- Experience in data architecture, data modeling, and integrating data from multiple sources.
- Familiarity with machine learning techniques for predictive analysis and customer segmentation.
- Familiarity with A/B/MVT Testing & Optimization, and Conversion Funnel Optimization.
- Understanding of cloud-based data platforms like AWS or Azure.
- Experience working in Agile teams and using project management software including Jira.
- Results-oriented with a bias towards action in a self-directed manner that is aligned to leadership and team goals.
- Ability to create stories through data visualization and present insights to senior leaders.
- Strong understanding of marketing and data technologies like Medallia, Adobe Experience Manager, and Demandbase.
- Executive presence and comfort presenting to large groups and small group settings with Executive Stakeholders.
- Demonstrable ability to independently create executive-level presentations.