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7 часов назад

Revenue Operations Data Analyst

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Revenue Operations Data Analyst (Sales Analytics/Automation): Analyzing sales data and building dashboards, reports, and forecasting models to improve revenue performance and operational efficiency with an accent on SQL-based analysis, data quality, and cross-functional decision-making. Focus on identifying trends and anomalies, automating data processes, and communicating actionable insights to technical and non-technical stakeholders.

Location: United States (Remote)

Company

hirify.global provides a SaaS-first orchestration platform that automates mission-critical business and IT processes across ERP, hybrid cloud, data, and agentic AI systems.

What you will do

  • Develop and maintain sales dashboards and reports covering pipeline, conversion rates, revenue, profitability, and other KPIs.
  • Analyze sales data to identify trends, patterns, anomalies, risks, and improvement opportunities.
  • Build forecasting models and perform custom and ad-hoc analyses for stakeholder needs.
  • Partner with Sales, Marketing, Finance, Revenue Operations, and IT on strategic planning and data-driven decisions.
  • Identify automation opportunities, improve data infrastructure and processes, and support data quality, integrity, and accessibility.
  • Present complex findings and recommendations clearly to technical and non-technical audiences.

Requirements

  • At least 5 years of hands-on experience with data analysis tools and techniques.
  • Required experience with SQL; familiarity with Salesforce, Python, R, Qlik or Tableau, and Excel.
  • Experience in sales and revenue operations or as a data analyst.
  • Strong analytical, problem-solving, communication, presentation, attention-to-detail, and accuracy skills.
  • Bachelor’s degree in Business Administration, Statistics, Data Science, or a related field.
  • Ability to work independently and collaboratively with cross-functional teams.

Culture & Benefits

  • Values include customer success, curiosity, ownership, collaboration, and solving complex problems.
  • Work supports business transformation through automation and data-driven operations.
  • Equal opportunity employment and compliance with applicable data protection laws.

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