Revenue Manager optimizing B2B ad revenues for leading German media house. Focus on pricing strategies, market analysis, and revenue enhancement in a dynamic environment.
About the role
- Revenue Operations Analyst role at Kpler involves data analysis to enhance revenue operations and support teams. Join our mission to simplify global trade information for informed decision-making.
Responsibilities
- Assist with ad-hoc data analysis for acquisitions, improve existing order to cash processes through insight analysis, and maintain revenue models to ensure consistent data reporting.
- Monitor gaps in sales operations processes, proactively suggesting data-backed improvements to ensure operational excellence.
- Regularly exchange information with the Business Intelligence team to harmonise data models and ensure strict consistency between CRM tools and BI platforms.
- Work closely with Commercial and stakeholders of Rev Ops teams (Sales, AR, LRC and Deal Desk) and their leadership, acting as the internal "Process and Data Guide."
- Gather, challenge, and formalise process and tool requirements to build tailored solutions and monitor their long-term adoption.
- Conduct ad-hoc analyses to address specific team needs and support data-driven decision-making across the organization.
- Build and audit reports/dashboards to monitor deal flow, proactively surfacing discrepancies and driving corrections to increase deal velocity.
- Adopt a hands-on approach to data investigation, proactively identifying the root causes of system gaps to ensure seamless alignment between Deal Desk processes and Business Intelligence revenue reporting.
Requirements
- Bachelor’s degree in business, Finance, Economics or related field
- Circa 2–4 years of experience in revenue operations, sales operations, or business operations
- Experience working with CRM systems (preferably Salesforce)
- Experience with financial modeling, ARR/MRR calculations, and revenue recognition principles
- Strong understanding of deal flow and order to cash
- Experience in SaaS / subscription business models is highly desirable
- Familiarity with SQL and/or other data analysis tools
- Experience with BI and data visualization tools (e.g., Tableau, Looker, Power BI, Google Data Studio)
- Proficiency in Excel / Google Sheets (advanced functions)
Benefits
- We are accessible and supportive to colleagues and clients with a friendly approach.
Job title
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