Lead Sales Strategy & Planning Analyst

Analyze pipeline, bookings, forecasts, activity, and agreed-upon business metrics. Identify trends, variances, anomalies, and performance patterns. Develop segment, partner, account, territory, and comparative analyses. Build and maintain recurring dashboards, scorecards, and performance views. Create repeatable weekly, monthly, and executive reporting outputs. Translate business requirements into clear analytical products and reporting specifications. Analyze pipeline composition, movement, coverage, and forecast signals. Surface material variances, risks, and areas requiring further business investigation. Provide analytical inputs for forecast and performance discussions without owning business commitments. Conduct whitespace, account-targeting, territory, and coverage analyses. Identify patterns that may represent growth opportunities, performance gaps, or resource needs. Support scenario modeling and strategic planning with fact-based analysis. Monitor data consistency, tagging, and reporting inputs. Document key performance indicator (KPI) logic, metric definitions, assumptions, and source lineage. Own reporting quality assurance and identify data-quality conditions that could affect decision-making. Produce Partner Ecosystem and Strategic Engagement dashboards, pipeline and forecast views, partner creation and co-sell measurement, trend and exception analyses, and executive analytical exhibits. Provide ad hoc strategic analysis and decision support as needed. You're an analytical and detail-oriented professional who can turn complex business data into clear, useful insights. You bring strong reporting and dashboard skills, structured problem-solving abilities, and the communication skills needed to explain findings to business and executive audiences. Experience in business analytics, sales operations analytics, GTM analytics, or a related discipline. Strong skills in data interpretation, dashboard design, reporting, and analytical storytelling. Experience working with CRM, forecasting, BI, or business-performance data. Ability to explain analytical findings clearly to business and executive audiences. Strong attention to detail, data-quality discipline, and structured problem solving.