Senior Business Analyst, GTM Systems
New
S
Sprout SocialB2B SaaS
Location: Remote USFull-TimeSenior
Salary90,400 - 113,000 USD per year
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Job Details
- Experience
- 4+ years of experience in business analysis, systems analysis or sales operations, supporting a B2B SaaS go-to-market team.
- Required Skills
- Business AnalysisSalesforce
Requirements
- Have 4+ years of experience in business analysis, systems analysis or sales operations supporting a B2B SaaS go-to-market team.
- Have hands-on Salesforce experience and a working understanding of the Salesforce data model.
- Gather business requirements and write user stories and acceptance criteria.
- Have experience planning and running UAT and managing releases with a central IT team that owns the platform.
- Be fluent in GTM data, including pipeline, forecast, bookings and renewals.
- Have clear written and verbal communication skills for working with frontline teams and executives.
- Preferred: Experience with Salesforce CPQ or quote-to-cash, or systems evaluation or vendor selection.
- Preferred: Experience with marketing or pipeline attribution.
- Preferred: Experience with Gong or another revenue intelligence platform.
- Preferred: Salesforce Administrator certification or familiarity with SOQL.
- Preferred: Experience using AI tools to speed up analysis, documentation and testing.
Responsibilities
- Partner with Sales, Marketing, Customer Success, Renewals and Deal Desk to turn business needs into requirements, user stories and acceptance criteria.
- Own intake and prioritization for GTM systems requests and maintain a prioritized backlog with the Director of GTM Systems & Applied AI and Salesforce IT.
- Plan and run user acceptance testing, triage defects, and secure business-owner sign-off before changes reach the field.
- Write release notes and field communications, and support reps and managers through changes.
- Lead requirements, scenario design and scoring for the CPQ evaluation, and support delivery of the CPQ roadmap.
- Define and improve marketing and pipeline attribution, including requirements, Salesforce source-data capture and validated reporting.
- Monitor data quality on forecast, renewals and source fields; identify root causes and document data and process definitions.
- Use AI tools to draft, test and document, applying judgment to review and decisions.
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