7 часов назад
Revenue Operations Data Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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