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
Skills, Abilities, Experience & Qualifications
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.
