Applied Statistician, GTM Analytics & Market Intelligence - Industry Operations - NA

Applied Statistician, GTM Analytics & Market Intelligence
- Industry Operations - NA

Location:

San Jose

Employment Type:

Regular

Job Code: A203888

Responsibilities

Job Description:

The Applied Statistician will apply statistical theory, quantitative modeling, and computational methods to analyze advertising, sales, campaign, client portfolio, and market datasets. The role will support GTM and Branding Ads decisions by designing statistical analyses, building forecasting and ROI models, evaluating program performance, developing statistically sound reporting frameworks, and communicating quantitative findings and limitations to technical and non-technical stakeholders.

Responsibilities
- 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.

Qualifications

Minimum Qualifications

- 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.

Preferred Qualifications
- 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.

Job Information

For Pay Transparency Compensation Description (Annually)

The base salary range for this position in the selected city is $108000 - $168000 annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

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…