Remote Sales Analytics & Ops Specialist

YO AI Labs; Boston (MA); À distance; USD 70 000 - 100 000; Plein temps

Résumé du poste

YO AI Labs is seeking a Sales Operations & Business Analytics Specialist to improve CRM operations, pipeline visibility, forecasting, and business reporting. The role focuses on turning sales data into actionable insights and scalable processes.

You will build dashboards, analyze sales performance, and develop forecasting models using historical and predictive data. Collaboration with sales and cross-functional teams is required to drive data-driven decisions.

Qualifications

• 2–4+ years in Sales Operations, Revenue Operations, Business Analytics, or related roles.
• Experience with CRM platforms; HubSpot preferred.
• Strong Excel/Google Sheets skills.
• Experience with SQL and/or BI tools such as Tableau, Looker, or Power BI.
• Knowledge of forecasting, data modeling, and sales analytics.
• Strong communication, analytical, and problem-solving skills.

Responsabilités

• Manage and optimize CRM operations, data quality, workflows, and reporting.
• Monitor sales pipelines and support forecasting.
• Build dashboards and analyze sales performance, conversion, and quota attainment.
• Develop forecasting models using historical and predictive data.
• Support sales tools, processes, and CRM improvements.
• Provide data-driven recommendations to leadership and cross-functional teams.
• Conduct ad hoc analysis for KPIs, incentives, lead generation, and business operations.

Connaissances

2–4+ years experience

CRM operations

HubSpot

Excel/Google Sheets

SQL

BI tools

Forecasting

Data modeling

Sales analytics

Communication

Outils

HubSpot

Tableau

Looker

Power BI

Description du poste

YO AI Labs is seeking a Sales Operations & Business Analytics Specialist to improve CRM operations, pipeline visibility, forecasting, and business reporting. The role focuses on turning sales data into actionable insights and scalable processes.

You will build dashboards, analyze sales performance, and develop forecasting models using historical and predictive data. Collaboration with sales and cross-functional teams is required to drive data-driven decisions.