Own and optimize the statistical analysis framework for GTM and Branding ads, turning data into actionable ROI and allocation decisions across campaigns, product adoption, and market opportunities.

• Statistical Modeling & Analysis: Apply advanced statistical methods (regression, causal inference, cohort analysis, and forecasting) to evaluate GTM campaigns, product adoption, and market outcomes.
• Experimental Design & Validation: Design statistical analysis plans, assess data limitations/uncertainty, and validate the robustness of findings before translating them into business recommendations.
• Market Intelligence & Opportunity Sizing: Analyze vertical-level datasets to develop scoring frameworks for client health, account opportunity sizing, and resource allocation.
• Data Engineering & Reproducibility: Clean, manipulate, and analyze large structured datasets using SQL, Python, or R, while maintaining reproducible data workflows and rigorous QA checks.
• Business Intelligence & Reporting: Design dashboards and tracking frameworks with statistically consistent KPI definitions to monitor revenue mix, sales funnels, and program health.
• ROI Modeling & Program Evaluation: Build statistical business cases and conduct pre/post-mortem evaluations to measure the effectiveness and ROI of regional initiatives and product launches.
• Cross-Functional Communication: Translate complex statistical findings into clear visualizations and executive-ready narratives for Sales, Product, and Leadership stakeholders.
• Education & Enablement: Provide guidance on methodology, data quality, and interpretation to non-technical teams involved in GTM decisions.
• Governance & Reproducibility: Establish QA checks and reproducible workflows to ensure reliability of analyses across campaigns and markets.

• Education: Bachelor’s degree in Statistics, Mathematics, Economics, Data Analytics, or a highly quantitative field (or equivalent practical experience).
• Data Manipulation: Advanced proficiency in SQL and statistical programming languages (Python or R) for cleaning and analyzing large, structured datasets.
• Statistical Expertise: Professional-level knowledge of core statistical concepts, including regression models, hypothesis testing, confidence intervals, and multivariate analysis.
• Business Intelligence: Experience designing data workflows, dashboards, and KPI tracking frameworks using BI tools (e.g., Tableau, PowerBI) and Excel.
• Experimental Design: Hands-on experience with A/B testing, experimental/quasi-experimental design, or pre/post-program evaluation methodologies.
• Analytical Communication: Proven ability to translate complex data and statistical frameworks into clear, actionable business insights for non-technical stakeholders.

• Advanced Degree: Master’s or Ph.D. in a quantitative discipline (e.g., Applied Statistics, Econometrics, Data Science).
• Domain Experience: Experience applying quantitative analysis to Go-To-Market (GTM) strategies, digital advertising, branding ads, or client portfolio management.
• Advanced Modeling: Expertise in causal inference, incrementality analysis, sensitivity analysis, and predictive revenue/market forecasting.
• Data Pipelines: Familiarity with maintaining reproducible data pipelines, automated QA checks, and methodologies at scale.
• Strategic Sizing: Experience building statistical scoring frameworks for vertical prioritization, market potential, and resource allocation.
• Stakeholder Management: Demonstrated success advising cross-functional leadership (Product, Marketing, Sales) and leading regional enablement initiatives.

• Benefits may vary depending on the nature of employment and the country work location.
• Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others.
• Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
• The Company reserves the right to modify or change these benefits programs at any time, with or without notice.