Mobile Communications America, Inc., a leader in wireless communications, data, and security solutions is seeking a data-driven Sales Data Analyst to join the Sales Strategy & Operations team within our Central Division. This position needs to be located within our footprint of Dallas, TX; Indianapolis, IN; Charlotte, NC; or Spartanburg, SC. This role turns sales data into decision-ready insight — building and improving the forecasting, pipeline, and performance analytics that guide how the business sells. The ideal candidate pairs strong quantitative and statistical skills with commercial fluency, and is comfortable working independently to translate complex data into clear, actionable recommendations for sales leadership.
KEY RESPONSIBILITIES:
Forecasting & Predictive Analytics
- Measure and report forecast accuracy across teams, segments, and time horizons, identifying drivers of variance and recommending methodology improvements.
- Develop, test, and maintain forecast weighting algorithms that translate pipeline stage, deal age, and historical conversion into reliable predictions.
- Apply regression and other statistical methods to quoted and won/lost activity to surface the factors that most influence close rates and deal velocity.
- Partner with sales leadership to refine forecasting methodology and strengthen commit and upside discipline.
Pipeline & Funnel Analytics
- Assess funnel sufficiency against quota and coverage targets, flagging gaps in pipeline volume, velocity, or conversion early enough to act.
- Analyze stage-to-stage conversion, sales cycle length, and win rates across divisions, segments, and reps to identify performance trends.
- Quantify pipeline health and recommend where to focus pipeline-generation and deal-progression efforts.
Reporting & Visualization
- Build and maintain Tableau dashboards, scorecards, and recurring reporting that give sales leaders a clear, current view of performance.
- Translate analysis into concise, executive-ready narratives and visualizations that drive decisions rather than simply describe data.
- Leverage automation and AI tools to streamline data preparation, reporting, and analysis — reducing manual effort, accelerating turnaround, and improving consistency.
- Identify opportunities to apply AI and automation to recurring analytical and reporting workflows, and help bring those improvements into production.
Data Management & Cross-Functional Partn