The Senior Associate Director of Digital Analytics is an integral member of the Marketing and Communications leadership team and is responsible for helping to develop a culture more reliant on capturing, interpreting and leveraging data to achieve institutional goals and objections. Will utilize their technical and working knowledge of digital analytics architectures, patterns, practices, techniques and technologies to create and execute the strategy and initiatives of the digital analytics team.
Manage web analytics duties for lead generation and/or publishing websites.
Create a culture of data-informed decision-making throughout an organization, continuous optimization and thought leadership both inside and outside of the organization.
Run a testing program at scale to deliver improvements that provides significant value to the organization.
Uncover performance insights and best practices through data analysis and reporting.
Oversee large-scale implementations of digital analytics marketing automation solutions, including ownership of the technical solution.
Strong knowledge of analytical methodologies for optimizing and evaluating customer campaigns (i.e., segmentation, predictive response models, etc.) as well as a strong knowledge of online marketing and/or CRM best practices.
Bring expertise in tag management, translating requirements into analytics strategies, integrating various data sources, and marketing techniques including targeting, segmentation and modeling.
Strengthen internal relationships through collaboration ability, effectively working across multiple stakeholder groups, cross-functional groups, departments and leadership teams both within the organization and outside of the organization.
Evolve the organization by staying aware and ahead of emerging technologies and industry best practices
Shepherd adaptation of digital and business solutions with solid understanding of digital technologies including website/application development, digital advertising and media/social media, mobile applications, and data visualization.
Work with outside vendors for reporting, analytics, and tag management.
Synthesize data with primary and secondary audience insights that assist in the development of campaigns and content that resonate with target audiences
Coach and develop a talented team of digital analysts
Education, Experience or Certifications
Bachelor's degree in a quantitative field required; background in business, marketing, statistics, economics preferred.
At least seven years of experience working in a digital analytics role required.
At least four years of experience in an analytics management
Experience with attribution platforms and journey mapping preferred.
Experience designing and delivering digital analytics solutions for marketing and IT teams required.
Technical Knowledge or Skills:
Proficient skills with statistical programs such as SQL, SAS, Python or R preferred.
Excellent presentation skills and ability to construct a cohesive, visual story preferred.
Consultative, service-based mindset required.
Knowledge of Multi-Channel Media Mix Attribution, Customer Lifecycle Marketing Analysis, Paid Search Audience Targeting and ROI Impact, Campaign Profitability preferred.
Ability to understand larger business needs and the application of digital analytics to address them. In-depth knowledge of Google Analytics and Adobe Analytics required.
Advanced working knowledge of tag management platforms (e.g., Tealium, GTM, Adobe DTM) required.
Advanced working knowledge of site optimization and personalization platforms (e.g., Optimizely, Adobe Target, Visual Website Optimizer (VWO)) required.
In-depth knowledge of report development, data visualization, and insight generation (Tableau) required.
Strong analytics and measurement experience (math and statistics), with a focus on digital marketing required.
Familiarity with Slate/Technolutions, Marketo Analytics, Salesforce, HootSuite, Sprinklr, SEMRush preferred.
Strong quantitative and analytical skills, with the ability to distill large amounts of data into simple language and action plans required.
Ability to clearly communicate capabilities, opportunities, and recommendations to both technical and nontechnical audiences required.
Ability to seamlessly go from raw data through complex modelling techniques to a final output that is insightful, valuable, tightly packaged and easily digestible required.
NOTE: When applying, all required documents MUST be uploaded under the Resume/CV section of the application.
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