Position Summary & Key Accountabilities

Key Responsibilities:

• Research and develop methods for measuring and analyzing marketing spend effectiveness
• Research new ways for modeling customer behavior
• Design experiments to answer targeted questions
• Collaborate with cross-functional stakeholders to understand their business needs.
• Formulate a roadmap of project activity that leads to measurable improvement in business performance metrics/key performance indicators over time.
• Conduct end-to-end analysis that includes data gathering and requirements specification, analysis, ongoing scaled deliverables and presentations.
• Architect, develop and automate analytics solutions
• Make business recommendations (cost-benefit, invest-divest, forecasting, impact analysis) with effective presentations of findings at multiple levels of stakeholders through displays of quantitative information
• Develop comprehensive understanding of data structures and metrics, advocating for changes where needed for both products and sales activity
• Creatively explore how to use data to continually add value and translate ad hoc questions into flexible methodologies that scale to answer broad problems across the organization

• MS or PhD in Statistics or related (e.g., Mathematics, Physics, Ops Research).
• Relevant work experience including statistical software (R, S-Plus, SAS, or similar), databases and scripting languages (such as Python).
• Demonstrated willingness to both teach others and learn new techniques
• Experience articulating business questions, pulling from datasets and using statistics to arrive at an answer.
• Experience translating analysis results into business recommendations.
• Deep interest and aptitude in data, metrics, analysis and trends, and applied knowledge of measurement, statistics and program evaluation.
• Demonstrated problem solving skills and impeccable business judgment.
• Effective written and verbal communication skills.