Partner with stakeholders to define and track key performance indicators and derive business insights.
Produce campaign analysis to track results of strategies deployed including attribution and ROI.
Drive, define, execute and deliver projects ranging from simple reporting and data analysis to segmentation and attribution.
Identify opportunities to test, learn and enhance campaign performance through segmentation test design, and targeting.
Help outline the development of an analytics roadmap and measurement plans that include exploratory analysis, campaign analysis, maturation of measurement/reporting, tools and skills needed to support objectives for assigned channels and Marketing.
Influence a test and learn culture through ongoing assessment of assigned product and channel strategies.
Identify and act on opportunities to elevate the Marketing Organizations understanding and use of insights.
Other duties and special projects as assigned.
Knowledge/Experience/Education
Bachelors or Masters degree in quantitative or marketing discipline or relevant experience
4+ years of experience working with digital analytics platforms such as Google Analytics, Adobe Analytics, social (Facebook Insights, Twitter Insights, Crimson Hexagon), ad serving (Google DCM, Trade Desk. Atlas), and syndicated research and tools (ComScore, Nielsen, GfK MRI, Simmons)
Basic to intermediate understanding of the implementation & tagging of web analytics tools such as Adobe Analytics/Google Analytics or ad server solutions (DCM, Trade Desk, etc.)
2+ years of experience in integrated, multi-channel marketing/advertising campaign tactics including off-line and online/digital channels
Proven experience with data visualization tools such as Tableau, Power BI, or Data Studio
Fundamental knowledge of exploratory data and statistical concepts. Ability to apply basic descriptive statistical techniques and understands basic regression techniques for forecasting performance utilizing advanced analytics tools such as (SAS, SQL, Python, R, etc.)
Expert at data manipulation in basic file formats such as delimited text files (CSV) and Excel and import/export data in different file formats.
Deep understanding of statistical test design concepts such as A/B testing and multivariate analysis. Experience with test and learn methodologies, including multi-variate testing and/or design of experiments.
Experience in marketing attribution and ROI analysis.
Ability to work in a cross-functional organization and influence others.
Comfortable working in an Agile environment and adjusting priorities in a fast-paced environment.
Strong verbal and written communication skills. Curios by nature. Data storyteller. Comfortable delivering insights at all levels of the organization
Preferred Qualifications
3+ years of experience performing statistical/regression analysis utilizing languages such as SAS, R, SQL, Alteryx and/or Python.
