
Sales Operations Analyst
Posted 16 hours ago

Posted 16 hours ago
This is a fully remote position, open to applicants in United States.
β’ Design, develop, and enhance standardized sales reports and dashboards that encompass ACV, ARR, NRR, pipeline, bookings, churn, and sales productivity.
β’ Monitor sales performance to identify key drivers and root causes, providing actionable recommendations to sales leadership and stakeholders.
β’ Highlight performance risks, process inefficiencies, and data quality concerns, driving follow-up actions towards sustainable resolutions.
β’ Prepare, validate, and oversee sales commission and bonus calculations in collaboration with Finance and HR.
β’ Collaborate with Finance on forecasting inputs and models, reconcile revenue metrics, and perform scenario analyses.
β’ Establish consistent definitions for KPIs, maintain data dictionaries and reporting-logic documentation, and ensure data quality through checks and alerts.
β’ Deliver ad-hoc analyses and business cases to support sales initiatives and strategic projects.
β’ Present concise, executive-ready insights during leadership meetings.
β’ Enhance sales processes and leverage automation and AI tools to minimize manual efforts and scale reporting and analytics.
β’ Work in partnership with Sales, Customer Success, Professional Services, Finance, HR, RevOps, and IT/Data teams throughout the Lead-to-Cash process, focusing on retention, utilization, revenue, and margins.
β’ Strong analytical and problem-solving abilities.
β’ Direct experience in creating reports and dashboards using BI tools such as Power BI or similar platforms.
β’ Proficient in Excel and experienced in handling large datasets.
β’ Familiarity with SQL or similar query languages is advantageous.
β’ Understanding of SaaS business models and commercial metrics, including ACV, ARR, NRR, pipeline, bookings, and churn.
β’ Knowledge of CRM systems, preferably Microsoft Dynamics, and insight into commercial business processes.
β’ Capability to clearly communicate complex analyses to non-technical audiences and convert data into actionable business insights.
β’ A curious and proactive approach to investigating problems, opportunities, and risks.
β’ A sense of ownership over outcomes and the ability to work autonomously.
β’ High attention to detail, practical prioritization skills, and a structured, dependable working style.
β’ A strong interest in AI-driven tools and automation.
β’ A growth mindset for learning new tools, technologies, and business processes.
β’ Effective collaboration skills with both technical teams and commercial stakeholders.
β’ Proficiency in English.
β’ German language skills are a plus.
β’ Competitive salary and performance-based bonuses.
β’ Opportunities for professional development and growth.
β’ Flexible working arrangements to support work-life balance.
β’ Access to cutting-edge technology and tools.
β’ Collaborative and inclusive company culture.
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