Sales Operations & Business Intelligence Analyst

Core Responsibilities

• Analyze commercial and transformation data to identify performance gaps, early-warning risks, and growth opportunities
• Strengthen forecasting accuracy and pipeline visibility through Salesforce reporting, CRM data governance, and improved data discipline
• Build, maintain, and enhance Power BI dashboards supporting performance reviews, strategic initiatives, and transformation execution
• Conduct deep-dive analyses on bookings, revenue, margin, backlog, funnel health, and project profitability
• Prepare executive-ready presentations and data visualizations for regional and country leadership reviews
• Collaborate with Growth, CI, Sales, and country leaders to support transformation workshops, execution tracking, and follow-through
• Drive reporting automation and continuous improvement initiatives to reduce manual effort and improve insight quality
• Support adjacent analytical missions including inventory turnover, funnel reviews, channel performance, and execution effectiveness

Stakeholder Engagement

• Act as a trusted business partner to Sales, Finance, Inside Sales, Operations, Channel Strategy, Growth, and CI teams
• Present structured, actionable insights to regional and country leadership, supporting strategic and operational decision-making

Required Qualifications

• Bachelor’s degree in Business Analytics, Data Science, Economics, Finance, or a related field
• 4–8 years of experience in Sales Operations, Business Analytics, or transformation support within a B2B or industrial environment
• Strong proficiency in Power BI, including dashboard development and data modeling
• Advanced experience using Salesforce and CRM-driven sales processes
• Proven ability to structure, analyze, and interpret complex datasets
• Experience supporting forecasting, performance management, and commercial review cycles

Preferred Qualifications

• Proficiency with SQL, Tableau, and additional BI or analytics tools
• Familiarity with Lean / Continuous Improvement frameworks (e.g., Bowler charts, X-matrix, A3s, TLIP, GDP)
• Experience working with ERP systems (e.g., SAP) and multi-source data environments
• Interest in AI tools, advanced analytics, and reporting automation