Назад
Company hidden
5 дней назад

Sales Operations Analyst, AI & Revenue Intelligence

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

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

hirify.global'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.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →