Position Details

Salary $120K – $135K USD / year

Type Full-Time

Experience mid

Exp. Years Not specified

Education Not specified

Category System Administration

About this role

Own the analytics engine behind Sales and Customer Service performance, driving headcount modeling, CAC reporting, commissions, and operational insights. Provide monthly end-to-end reporting and translate complex data into recommendations that improve performance, forecasting, staffing decisions, and customer outcomes.

Key Responsibilities

Own monthly reporting end-to-end: validate data and explain trends/variances
Manage commission payouts and commission platform with Sales leadership
Build and evolve Sales, Customer Service, and Underwriting headcount models for forecasting accuracy
Analyze conversion rates, call volume, talk time, and sales behaviors to identify insights
Facilitate cross-functional discussions across Operations, Growth, and Finance

Technical Overview

Lead operations analytics for growth by validating data and producing monthly insight-driven memos, dashboards/reporting, and models. Build and evolve headcount models (including underwriting) and analyze performance metrics such as conversion rates, call volume, and talk time to inform forecasting accuracy and strategic decisions with RevOps and Finance.

Ideal Candidate

The ideal candidate is a mid-level analytics leader who can own operations analytics for Sales and Customer Service performance. They have strong experience with headcount modeling, CAC reporting, commissions/commission platform operations, and forecasting to improve staffing decisions and unit economics. They translate complex operational data into monthly reporting, memos, and cross-functional recommendations in partnership with RevOps, Finance, and Data.

Must-Have Skills

own monthly reporting end-to-endheadcount modelingCAC reportingcommission payouts managementcommission platform managementforecastingdata validationanalysis of conversion ratescall volumetalk timeand sales behaviorscross-functional collaboration with SalesCustomer ServiceRevOpsFinanceand Data

Tools & Platforms

commission platformdata

Required Skills

Analytics engineheadcount modelingCAC reportingcommissionscommission platformmonthly reportingdata validationforecastingconversion ratescall volumetalk timesales behaviorsstaffing decisionsunderwriting headcount modelsunit economics

Hard Skills

analytics engineSales and Customer Service performance analyticsheadcount modelingCAC reportingcommissionscommission platform managementforecastingoperational insightsmonthly reporting end-to-enddata validationbuilding headcount modelsassumptionsforecasting accuracyconversion rates analysiscall volume analysistalk time analysissales behaviors analysisstaffing decisionsunderwriting headcount modelsmemosreportingrecommending actions to improve performanceunit economicsfinancial rigorcustomer outcomes optimization

Soft Skills

own end-to-end reportingexplain key trends and variancesfacilitate cross-functional discussionspartner closely with Sales leadershipresolve issues proactivelyturn complex operational data into clear reportingmodelsand recommendationscross-functional collaboration (SalesCustomer ServiceRevOpsFinanceData)communication

Industry & Role

Industry Insurance

Job Function Lead growth operations analytics to improve forecasting, staffing, and performance using CAC, commissions, and headcount modeling.

Role Subtype Analytics Engineer

Tech Domains Power BI, Tableau, SQL / PostgreSQL, Python, Amazon Web Services

Keywords for Your Resume

Growth Strategy & Analytics ManagerOperations Analytics Manageranalytics engineheadcount modelingCAC reportingcommissionscommission platformmonthly reportingdata validationforecasting accuracyconversion ratescall volumetalk timesales behaviorsstaffing decisionsSalesCustomer ServiceUnderwritingRevOpsFinanceDataunit economicsforecasting

Deal Breakers

Must be able to own monthly reporting end-to-end with data validation, Must have headcount modeling and forecasting experience, Must have commissions/CAC analytics experience

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