5 дней назад
Sales Operations Analyst, AI & Revenue Intelligence
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sales Operations Analyst, AI & Revenue Intelligence (AI/Revenue Analytics): Analyzing revenue, billings, pipeline, and forecast data while building predictive models and AI-assisted workflows with an accent on Salesforce, SAP, SQL, and business intelligence. Focus on forecasting revenue, identifying commercial risks, improving data integrity, and presenting decision-ready insights to sales leadership and executives.
Location: Austin, Texas, United States; hybrid
Company
's Sales department focuses on revenue intelligence, forecasting, and sales operations analytics.
What you will do
- Analyze revenue, billings, forecasts, and opportunity and pipeline data to identify risks, anomalies, and emerging trends.
- Build and maintain predictive models for pipeline coverage, win-rate and velocity forecasting, and churn or renewal risk scoring.
- Benchmark company performance against market and industry trends and explain performance gaps.
- Partner with Sales, Finance, and RevOps leadership to turn findings into actionable recommendations.
- Own data integrity and reporting workflows across Salesforce and SAP.
- Apply AI and ML tools, including LLMs, forecasting libraries, and agentic workflows, to automate analysis and improve reporting cycles.
Requirements
- 3–5+ years of experience in Sales Operations, Revenue Operations, FP&A, or a related analytics role.
- Hands-on experience with Salesforce reporting, dashboards, and pipeline or opportunity data structures.
- Hands-on experience with SAP billing, revenue, and financial reporting modules.
- Experience building predictive or statistical forecasting models using regression, time series, or machine learning.
- Strong SQL skills and experience with a BI tool such as Spotfire, Power BI, or Looker.
- Practical experience using LLMs, AI copilots, or AI-assisted workflows, with the ability to communicate technical findings to executive audiences.
Nice to have
- Python or R experience with statistical modeling and forecasting libraries.
- Experience with Salesforce CRM Analytics, Einstein Forecasting, or SAP Analytics Cloud.
- Experience building AI agents or automations using APIs, RPA, or agentic frameworks.
- Background in SaaS, subscription, or usage-based revenue models.
- Experience with market intelligence, competitive benchmarking, executive data visualization, forecast calls, or QBRs.
Culture & Benefits
- Hybrid work arrangement based in Austin, Texas.
- Cross-functional collaboration with Sales, Finance, RevOps leadership, and executives.
- Opportunity to automate recurring analysis and improve revenue forecasting accuracy.
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