Senior Commercial Data Analyst
$95,000–$120,000 year
Remote · US
USRemoteFull Time$95,000–$120,000 yearMid LevelNot SpecifiedUnknown
Type
Full Time
Level
Mid Level
Education
Not Specified
Company size
Unknown
Job Summary
The Senior Commercial Data Analyst will own the forecasting process, collaborating with Sales leadership to ensure accuracy and predictability. Responsibilities include quota allocation modeling, validation of bookings and data integrity across CRM, and analytics on revenue operations. The role requires strong data analysis skills, fluency in Python/SQL, and advanced Excel capability. Experience in sales operations, revenue analytics, and effective data storytelling to senior leadership is essential.
Required Qualifications
- 4+ years of experience in sales operations, revenue analytics, business strategy, or related fields
- Extensive experience analyzing raw sales and bookings data, building forecasting and planning models, and translating insights into actionable recommendations
- Ability to clearly communicate forecast assumptions, risks, and planning insights in a compelling and structured way
- Fluency in Python and/or SQL (both preferred)
- Advanced Excel skills (modeling, scenario analysis, complex formulas)
- Experience with Salesforce and sales pipeline mechanics
- Experience with data visualization tools (PowerPoint required; Tableau, Power BI, or similar preferred)
- Experience with Amazon Quicksight a plus
- Experience working across CRM, CPQ, Finance, and reporting systems
- Familiarity with Git for managing scripts or model revisions
- Ability to ensure data consistency across multiple systems and inputs
- Ability to build strong working relationships across Sales, Finance, and RevOps while operating in a fast-paced and evolving environment.
- Demonstrated ability to ask thoughtful questions about forecast assumptions, pipeline drivers, and quota structures.
- Comfortable managing multiple planning cycles, deadlines, and stakeholder requests simultaneously with strong attention to detail.
Desired Qualifications
- AI experience – familiarity with AI-driven forecasting tools or automation workflows
- Strong understanding of B2B sales processes and commercial success metrics
- Experience in a SaaS environment
Additional Requirements
- At this time, we are unable to consider candidates who require current or future sponsorship for employment authorization.
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