Senior Analytics Manager - Go-To-Market & Revenue

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As a Senior Business & Go-To-Market Data Analyst, you will solve complex business challenges with quantitative rigor—deriving actionable insights that drive revenue growth, quota planning, sales operations, and go-to-market strategies. Partnering cross-functionally across Sales, Product, Engineering, and Marketing teams, you will write Advanced SQL queries in Google BigQuery, build data models, design Tableau dashboards, and test the impact of growth initiatives. Additionally, you will leverage modern analytics tools and Large Language Model (LLM) applications to automate reporting workflows, optimize quota setting, and refine executive revenue forecasting models.

Key Responsibilities

• Go-To-Market & Business Performance Analytics: Lead rigorous data-driven analyses to evaluate business performance, identify growth opportunities, and provide actionable recommendations for C-suite and GTM leaders.
• Cross-Functional Partnership: Collaborate directly with Sales, Product, Engineering, and Marketing stakeholders to embed data-driven decision-making into operational workflows and go-to-market execution plans.
• Advanced SQL & ETL Engineering: Write complex SQL queries against enterprise data warehouses (Google BigQuery), build resilient ETL data models, and extract high-signal metrics from large-scale data environments.
• Operations & Forecasting Streamlining: Drive business planning processes—including sales quota setting, quarterly revenue forecasting, and executive KPI reporting—to reduce operational friction.
• KPI Design & Data Visualization: Define and measure key business metrics, building interactive self-serve dashboards and reporting suites using Tableau and Looker.
• LLM Application & Automation: Apply Large Language Model (LLM) applications and prompt engineering methodologies to automate analytical workflows, document business logic, and streamline insights generation.
• Impact Testing & Measurement: Design measurement frameworks to test and quantify the incremental impact of growth initiatives across marketing channels, product surfaces, and sales coverage models.

Requirements

Education & Experience Depth

• Master’s Degree (or foreign equivalent): Computer Science, Engineering (any field), or a closely related quantitative discipline + three (3) years of experience in the job offered or a related quantitative analytics role. (Any suitable combination of education, training, or experience is acceptable).

Special Skill Requirements

1. Advanced SQL: Writing complex queries, window functions, CTEs, and performance tuning for analytics.
2. Google BigQuery: Hands-on experience querying and structuring enterprise data warehouses in GCP BigQuery.
3. Python: Scripting for data manipulation, statistical analysis, and workflow automation.
4. R Programming: Statistical analysis, modeling, and quantitative validation using R.
5. Tableau: Designing executive dashboards, interactive data stories, and automated reporting interfaces.
6. Microsoft Excel: Advanced financial and operational modeling, pivot tables, and scenario analysis.
7. Data Modeling: Designing dimensional schemas, star models, and structured data tables.
8. ETL Development: Building and maintaining data transformation workflows and pipeline pipelines.
9. Data Visualization Tools: Experience across modern BI platforms (Tableau, Looker, or Power BI).
10. KPI & Metrics Development: Architecting business metrics aligned with sales, product, and financial initiatives.
11. Large Language Model (LLM) Applications: Utilizing generative AI tools to accelerate analytics and insights workflows.
12. Prompt Engineering: Structuring instructions to leverage LLMs effectively for analytical tasks.
13. Jira: Managing analytics tickets, sprint backlogs, and cross-functional requests.
14. Confluence: Documenting data definitions, ETL logic, and project runbooks.

Total Rewards & Benefits

• Compensation & Equity: Annual base salary range of $159,100.00 – $185,600.00 USD + Restricted Stock Unit (RSU) equity grants + potential sales commission depending on role placement level.
• Healthcare & Income Protection: Comprehensive medical, dental, and vision insurance coverage, gender-affirming care, and income replacement programs.
• Financial & Family Support: 401(k) retirement plan with employer match, family planning support, and generous paid parental leave.
• Time Off & Workplace Perks: Flexible vacation policy, paid volunteer time off, global workspace and learning stipends, and dedicated mental health coaching.