Staff Analyst

Analyze and optimize dial strategy including when to dial, how frequently to attempt contact, and resting strategy (when to temporarily pause outreach on a prospect) — using profitability and conversion data to maximize return on rep time and phone capacity.

Design and evaluate territory alignment and lead allocation strategies, including vertical-based routing (e.g., CHL vs. general floor), rep tier-based lead assignment, and Primary Work Category-level segmentation, ensuring the right prospects reach the right reps at the right time.

Build and maintain sales performance reporting across the full hierarchy from individual rep metrics (dials, dial penetration, dial saturation, submit conversion) up through manager and director views enabling leadership to quickly identify performance gaps and coaching opportunities.

Conduct prospect database quality analysis, including segmentation of the prospect pool by quality category (Good, Bad, Unsure), vertical assignment, and score-based profitability — informing headcount planning, dialing prioritization, and pipeline health.

Partner with data engineering to maintain and evolve the automated pipelines that generate daily prospect scores, distribute scored prospects to the sales floor, and replicate scoring data into downstream CRM and sales systems.

Present analytical findings and strategic recommendations directly to sales executives and operations leaders, translating model outputs and data into clear narratives that drive decisions on rep headcount, prospect mix, and outreach strategy.

Continuously evaluate model performance and iterate on scoring methodology — incorporating new feature signals (e.g., enrichment data, transcript features, affiliate/source encoding) and improving model explainability so sales reps and leaders understand why a prospect scores the way it does.

Leverage AI tools (e.g., Claude, ChatGPT, Cursor, Gemini) to accelerate the analytical workflow — from faster hypothesis generation and code authoring to synthesizing large volumes of sales data into actionable insights with greater speed and precision.

Automate repetitive analytical tasks — data pulls, report refreshes, QA, and ad hoc summarization — using AI-assisted scripting and workflow tools to maximize time spent on high-value analysis.