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The Revenue Operations Analyst plays a critical role in driving visibility, efficiency, and alignment across Sales, Marketing, and Customer Success. This role is responsible for analyzing CRM data, improving processes, maintaining data integrity, and delivering insights to enable decision-making and predictable forecasting.
Key Responsibilities
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Key Responsibilities
- Data & Analytics
- Build, maintain, and optimize dashboards and reports for sales, marketing, and customer success performance
- Analyze funnel conversion, pipeline health, forecasting accuracy, and revenue trends
- Provide actionable insights to revenue leaders to support strategic planning and execution
- Systems & Tools
- Administer and optimize CRM and tech stack (e.g., Salesforce, Apollo)
- Ensure data accuracy, integrity, and consistency across systems
- Support system enhancements, integrations, and new tool implementations
- Process Optimization
- Document and improve processes across Sales, Marketing, and Customer Success
- Identify operational bottlenecks and recommend scalable solutions
- Support territory forecasting processes and CRM hygiene
- Cross-Functional Collaboration
- Partner with Sales, Marketing, Finance, and Customer Success to align metrics and goals
- Support leadership with ad hoc analysis, business reviews, and executive reporting
- Act as a trusted analytical partner to revenue stakeholders
- 2–5 years of experience in Revenue Operations, Sales Operations, Business Operations, or a similar analytical role
- Strong analytical skills with experience in reporting, data analysis, and visualization
- Hands-on experience with CRM systems (Salesforce strongly preferred)
- Advanced proficiency in Excel
- Ability to translate data into clear insights and recommendations
- Strong attention to detail and process-oriented mindset
- Experience with BI tools (Tableau, Looker, Power BI)
- Familiarity with marketing automation and customer success platforms
- Experience supporting SaaS, B2B, or recurring revenue models
- Knowledge of forecasting, compensation, or quota modeling
- Analytical thinking & problem solving
- Stakeholder communication & influence
- Process improvement & systems thinking
- Business acumen in revenue-driven environments
- Ability to manage multiple priorities in a fast-paced environment
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Key Skills
Ranked by relevance
crm
salesforce
data analysis
power bi
tableau
looker
excel
saas
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- Posted
- Feb 10, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Bucharest
- Company
- FoodChain ID
Industries
Internet Publishing
Categories
Management
Manufacturing
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View Job Details
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2026-05-20
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