#533370 – Senior Manager, Digital Analytics and Continuous Optimization
Minnetonka, MN
This role is an incredible opportunity with a Fortune 20 company to provide leadership in a newly
formed Digital Analytics and Continuous Optimization team. You will be part of building a
world-class enterprise wide analytics platform from the ground up. This role will be utilizing all
applicable technology to present data to executive leadership in an informative manner for critical
decisions regarding planning and forecasting.
Responsibilities:
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Provide data and analytics across the enterprise to a multitude of functions within the
enterprise to inform and improve business outcomes
Create a platform that enables aggregation of consumer data, recognition of predictive
patterns and positively influences consumer behavior
Provide a center of excellence that empowers analytics users to self-manage their
business, enables them to collaborate and leverage best practices
Evaluate tools and standards to develop best in class analytic strategies
Evangelize importance of analytics and optimization across organization while
developing strong relationships with the business stakeholders
As the subject matter expert on tagging, data and analytics, work directly with
product/business owners and technical specialists to plan and execute site and cross
channel analytics
Development of measurable stakeholder goals and measurement plans that tie to business
impact and ROI
Ensure quality and timeliness of measurement deliverables and disseminate insights for
strategic and tactical decision-making
As the subject matter expert on testing & optimization, work directly with
product/business owners and technical specialists to plan and execute A/B & MVT tests
Design insightful tests (test length, KPIs, control groups etc.) that adhere to testing best
practice, lead discussions on test methods, set up, and interpretation of results
Manage the intake process for requests and ideas, maintain and enrich processes and
policies to further increase the quality and rigorousness of data and testing
Implement predictive modeling and segmentation measurement and refinement
Engage in in-depth analysis to address or highlight business issues or questions
Provide statistical expertise to support and conduct qualitative and quantitative analysis
Analysis of hypothesis, findings, recommendations, actions and results
Oversight of all related reporting, data, analysis
Proactively conduct analysis and data mining to provide hidden insights and bridge the
gap between data and action for marketing and product teams
Present insights and recommendations for action to executive leadership on Analysis of
Digital Strategy performance
Required Skills and Experience:
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Undergraduate degree or equivalent work experience
7 or more years in a management position, leading a cross-functional team
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5 or more years of experience in digital strategy (ex. site analytics, CRM strategy,
multichannel campaign tracking, A/B/multivariate Testing, email, SEO, social media,
etc.)
Experience in predictive analytics and behavioral modeling for conversion and driving
business results
Statistical modeling to define profiling, retention, conversion, up-sell and cross-sell
strategies
Tag management system experience (Ensighten, TagMan, Tealium, etc.)
Tag audit experience (ObservePoint, WASP, etc.)
Site Analytics experience (Adobe SiteCatalyst, IBM Coremetrics, Google Analytics, etc.)
Assets:
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VOC experience (ForeSee Results, Opinion Lab, etc.)
Experience monitoring tool experience (Tealeaf, Coradiant, etc.)
Testing experience (Adobe Target, Monetate, SiteSpect, etc.)
Data Science experience (SAS, Hadoop, Splunk)
Strong focus on articulating data and strategic analysis of data to stakeholders
ROI-focused thinking for stakeholders and agency partners
Direct to consumer service industry experience preferred
Degree in Mathematics, Statistics or related field preferred