Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
PTV Logistics

Sales Operations Analyst

PTV Logistics

. Design, develop, and continuously improve standardized sales reports and dashboards covering ACV, ARR, NRR, pipeline, bookings, churn, and sales productivity .

Posted 10/30/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates strong analytical skills and problem-solving abilities to design and improve sales reports and dashboards. Proficient in BI tools, Excel, and SQL, with a solid understanding of SaaS business models and commercial metrics.

Highest-signal resume keywords
Sales Reporting and Dashboard DevelopmentBusiness Intelligence Tools (Power BI)SQL Query LanguageSaaS Business Model UnderstandingCollaboration with Cross-Functional Teams

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Sales ReportingDashboard DevelopmentData AnalysisSQLExcelKPI DefinitionData Quality ManagementForecastingScenario AnalysisAutomation Tools
Soft Skills
Analytical SkillsProblem-SolvingEffective CommunicationCuriosityAttention to Detail
Tools & Technologies
Power BIMicrosoft DynamicsCRM SystemsAI ToolsData Quality Checks
Industry Keywords
ACVARRNRRSales ProductivityPipelineBookingsChurnLead-to-Cash ProcessRevenue MetricsCommercial Business Processes

Tech Stack

Tools & technologies
SQL

About the role

Key responsibilities & impact
  • Design, develop, and continuously improve standardized sales reports and dashboards covering ACV, ARR, NRR, pipeline, bookings, churn, and sales productivity
  • Monitor sales performance, identify underlying drivers and root causes, and provide practical recommendations to sales leadership and stakeholders
  • Flag performance risks, process inefficiencies, and data quality issues, and drive follow-up actions through sustainable resolution
  • Prepare, validate, and govern sales commission and bonus calculations in alignment with Finance and HR
  • Partner with Finance on forecasting inputs and models, reconcile revenue metrics, and conduct scenario analyses
  • Establish consistent KPI definitions, maintain data dictionaries and reporting-logic documentation, and support data quality through checks and alerts
  • Deliver ad-hoc analyses and business cases for sales initiatives and strategic projects
  • Present concise, executive-ready insights in leadership meetings
  • Improve sales processes and use automation and AI tools to reduce manual effort and scale reporting and analytics
  • Collaborate with Sales, Customer Success, Professional Services, Finance, HR, RevOps, and IT/Data teams across the Lead-to-Cash process, including retention, utilization, revenue, and margins

Requirements

What you’ll need
  • Strong analytical and problem-solving skills
  • Hands-on experience building reports and dashboards with BI tools such as Power BI or similar platforms
  • Strong Excel skills and experience working with large datasets
  • Experience with SQL or comparable query languages is a plus
  • Understanding of SaaS business models and commercial metrics, including ACV, ARR, NRR, pipeline, bookings, and churn
  • Knowledge of CRM systems, ideally Microsoft Dynamics, and commercial business processes
  • Ability to explain complex analyses clearly to non-technical audiences and translate data into actionable business recommendations
  • Curiosity and proactive investigation of problems, opportunities, and risks
  • Ownership of outcomes and ability to work independently
  • High attention to detail, pragmatic prioritization, and structured, reliable working style
  • Strong interest in AI-powered tools and automation
  • Growth mindset for learning new tools, technologies, and business processes
  • Effective collaboration with technical teams and commercial stakeholders
  • Fluency in English
  • German language skills are a plus