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About WhiteCrow


We are global talent research, insight, and sourcing specialists with offices in the UK, USA, Singapore, Malaysia, Hong Kong, Dubai, and India. Our international reach has helped us to understand and penetrate specialist markets at a global level. In addition to this, our service is also extended to complement our client’s in-house talent acquisition teams.


About our client


Our client is a global leader in sustainable climate solutions, helping reduce carbon emissions and improve energy efficiency across commercial, industrial, residential, and refrigeration sectors. They tackle global challenges like climate change and energy demand through innovations in low-impact refrigerants and efficient heating, cooling, and cold chain systems.


With 18,000 employees across 40+ countries, they combine global reach with local expertise. Backed by over 200 million installations, their industry-leading brands deliver reliable, scalable solutions. Their commitment to innovation and sustainability makes them a trusted partner worldwide.


As a Revenue Operation Analyst, you will be responsible for...


  • CRM and data administration: Overseeing Salesforce and CRM data loading, updates, maintenance and audits.
  • Managing user onboarding and access, ensuring data quality, resolving sync errors and monitoring integrated system flows.
  • Data analysis and reporting: Using Excel, CRM and data analytics tools for data operations, analysis and dashboard reporting.
  • Performing audits and delivering actionable metrics for sales, marketing, product management, finance and operations.
  • Performance monitoring: Assisting in monitoring Salesforce MQL assignment and leading routing to ensure timely follow-up.
  • Supporting tracking and follow-up on incomplete tasks, past-due opportunities, inactive users and key reporting fields to maintain a healthy pipeline.
  • Pipeline and growth alignment: Assessing pipeline requirements to ensure alignment with growth targets.
  • Monitoring and analyzing realization of opportunities into revenue, identifying gaps and areas for improvement.
  • Operational improvement and collaboration: Working with Revenue Operations and Salesforce teams to resolve data or process gaps, validate workflows and contribute to ongoing system improvements.
  • Customer and campaign insights: Analyzing customer journeys, measure source attribution and evaluate conversion rates.
  • Evaluating acquisition costs, comparing performance between existing customers and prospects and providing insights into influence sources and metrics to optimize the customer lifecycle.
  • Win/loss and opportunity insights: Analyzing why deals are won or lost, identify key factors for success or failure, uncovering high-potential opportunities and providing insights for improving win rates, cross-selling and upselling.
  • Providing source attribution insights to refine targeting and resource allocation.
  • Continuous improvement: Analyzing key metrics, responding to data requests and supporting ongoing process optimization and data quality efforts.
  • Conducting routine audits and produce reports to identify and correct data quality issues.


What you already have...


  • A minimum of two years of experience in data analytics with sales, revenue operations, marketing, finance or related field.
  • Expertise in Salesforce reporting, dashboard creation and data management.
  • Exceptional analytical skills with the ability to solve complex problems using clear and actionable data.
  • Strong collaboration skills with a demonstrated ability to align cross-functional teams toward common revenue goals.
  • A relentless pursuit of excellence and a strong desire to build agile systems that support our commercial and operational excellence.
  • Deep commitment to ownership, continuous learning and taking proactive steps to improve business outcomes.
  • Bachelor’s degree in data analytics, finance, economics, business administration, marketing, information systems, or related field.
  • 5+ years of proven experience in data analytics.