Senior Revenue Strategy Analyst
New
1
1PasswordCybersecurity
Based remotely in the USA, MST and PST preferredFull-TimeSenior
Salary$113,000 USD and $158,000 USD
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Job Details
- Experience
- 5+ years
- Required Skills
- SQLGitSalesforceTableaudbtLooker
Requirements
- 5+ years of experience using data to drive business decisions within a Software as a Service (SaaS) or Go-To-Market (GTM) environment.
- Deep understanding of SaaS metrics and revenue key performance indicators (KPIs).
- 5+ years of hands-on experience writing Structured Query Language (SQL) queries.
- Experience building and maintaining data models using data build tool (dbt).
- Proven ability to partner with senior GTM leaders and cross-functional stakeholders to influence strategy.
- Expertise with visualization tools such as Hex, Looker, or Tableau.
- Experience building executive-ready dashboards.
- Familiarity with revenue technology (revtech) software such as Salesforce, Outreach, Gong, ZoomInfo, or 6sense.
- Strong foundation in statistics and probability concepts.
- Experience applying forecasting, predictive modeling, or operational optimization techniques.
- Track record of managing multiple projects and delivering measurable business impact.
Responsibilities
- Serve as the primary analytics partner to GTM leadership by anticipating needs, shaping the right questions, and translating complex data into strategic, actionable recommendations.
- Deliver high-impact analyses and dashboards that address critical business challenges and inform executive decision-making.
- Define, govern, and track GTM key performance indicators (KPIs) to ensure alignment with company goals.
- Write optimized Structured Query Language (SQL) queries, build and maintain data build tool (dbt) models, and manage version control using Git.
- Design, develop, and own dashboards in Salesforce and Looker that highlight leading indicators, pipeline health, and upsell or new-business opportunities.
- Partner with Data Engineering to build scalable data solutions and onboard new data sources.
- Lead analytics initiatives from scoping through delivery, managing timelines, and stakeholder communication.
- Work directly with GTM executives to diagnose process bottlenecks and test data-driven improvements.
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