The role of the Omni-Channel Analytics Manager within the company is to lead analytics and measurement in support of the growing roadmap of omnichannel capabilities across brands within a specialty franchise. The ideal candidate has a keen ability to translate data into insights, and a deep understanding of designing analytics plans, leveraging approaches including predictive modeling, machine learning, and artificial intelligence around tactic-level and omnichannel experiences. The ideal candidate will also be forward-thinking and will be able to anticipate the organization' s needs as consumer needs change with the ever-evolving omnichannel and analytical landscapes, and must be able to meaningfully communicate insights and information to a broad group of stakeholders through exceptional oral and written communication.

Primary Responsibilities:

• Builds analytic plans that heighten the visibility of omnichannel opportunities that will increase the effectiveness and/or efficiency of the omnichannel experience.
• Identifies appropriate KPIs for cross-channel measurement and partners with multiple teams to generate reports that diagnose and communicate outcomes and recommendations.
• Consults on the appropriate methodologies to test and measure the effectiveness of marketing tactics and ensures standardization and alignment where possible.
• Delivers omnichannel optimization recommendations using insights and analytics, in partnership with Research, Customer Experience, and/or Brand Analytics.
• Innovates upon omnichannel analytic approaches for mid- and long-term impact measurement, that can benefit cross-functional teammates including Customer Experience, Brand Analytics, and BTS; provide guidance on short-term analytics; maintains a strong pulse on industry digital and analytic trends.
• Identifies appropriate customer segments through advanced data analysis and provides recommendations for contact strategies including financial impact analysis/scenario testing.
• Drives analytics to build audiences in Adobe for Data Management Platform (DMP). Including look-a-like models, cluster analysis, and other advanced analytics techniques.
• Partners with Business Technology Solutions, the Data Science team, Customer Experience, Media, and Franchise Insights/Analytics teams to identify new approaches and data sources to power omnichannel analytics and activation opportunities.

Required Background & Skills:

• Bachelor' s Degree in Business, Analytics, Finance or Economics required. Master' s degree in quantitative fields such as Statistics or Computer Science preferred.
• 5+ years of demonstrated experience in web analytics and digital media analytics, and experience identifying and outlining key campaign metrics and building campaign proformas/measurement plans/marketing analytics. Previous experience in predictive modeling or strong academic background preferred.
• Skilled at combining and analyzing multiple types of data sources (marketing data, sales data, digital (website, app, CRM, etc.), text) using machine learning concepts.

• Advanced understanding of the cross-digital channel and analytics space, in areas such as digital media, search, social media, social listening, online video, websites, mobile applications, data management platforms, programmatic, endemic, paid search vs SEO.
• Advanced understanding of segmentation/audience development for use in testing and personalization.
• Strong experience connecting digital data and online experiences to offline behaviors and other 3 rd party data sources for in-depth analysis.

• Experience working with digital/media analytics platforms and/or platform data (e.G. Email Marketing Platforms, Facebook, Google, Adobe, etc.). Previous DMP Analytics Experience preferred.

• Familiarity with concepts surrounding tagging implementation – tagging schemas, QA/testing.
• Strong written and oral communication, presentation, and interpersonal skills.