Responsibilities

• Lead the development of Measurement and Analytics plans for all projects ensuring proper KPI assignment, data collection, test and learn plans, ROI ProForma, and targeting in order to produce data driven intelligence from campaigns and programs.
• Business Case development derived from multiple data source inputs including third party research, primary research, campaign reports, benchmarking analysis and historical performance.
• Develop observations and insights around campaign results for optimization of paid media and omni-channel performance marketing campaigns.
• Define requirements for and produce campaign reports and analysis across paid media marketing channels (specifically but not limited to programmatic display & video, paid social, email, site analytics, and paid search).
• Collaborates with Strategy, Experience Planning, Project Management, and Creative discipline teams in producing actionable insights on customer behavior based on campaign results and analysis.
• Drives media and communication plans through lateral thinking, knowledge of results, customer behavior, meaningful data insights and the use of innovative forecasting and insight tools.
• Informs component (creative, format, value proposition, target, message) analysis optimization based on in-depth analysis by campaign or cross-campaign.
• Combine disparate data sets (customer database, marketing behavior, macro-economic data, etc.) to expose brand realities, market opportunities and potential marketing strategies.
• Provide leadership in developing M&A Plans, learning agenda’s, ROI/ Pro Forma’s, and results for all client projects.
• Provides quantitative analysis input to define business requirements for multi-touch and progression campaign sequences.

Requirements

• Bachelor’s degree in Math, Finance, Marketing, Statistics, Econometrics, Social Science or other related degree/ equivalent experience.
• 8-10 years experience working with data and utilizing quantitative techniques to solve marketing or business problems, such as campaign analysis, channel attribution, program optimization, customer segmentation, market share analysis, customer lifetime value, and predictive modeling.
• Advanced knowledge of marketing tools and methods, direct marketing test and learn plans, ROI and Pro Forma development.
• Expertise with statistical and research methods: significance, error, sample size, design of experiment, data mining/multivariate analysis.
• Proficient knowledge with data visualization tools: Power BI, Google Data Studio, Tableau.
• Proficient knowledge with web analytics and publisher UI tools: Google Analytics, Campaign Manager, DSPs, Facebook, Adobe Analytics/CJA, Adobe Campaign Classic
• Proficient knowledge with database and marketing automation tools and languages: SQL, Business Objects, DataBricks, Python.
• Proficient knowledge with CRM and Email/App 1P data, including SFMC.
• Expertise with Microsoft Excel – logical functions, lookups, pivot tables, external source data, dynamic pivot charts and tables.
• Strong communication and PowerPoint presentation skills.