Remote Sales Analytics & Ops Specialist

YO AI Labs

Boston (MA)

Remote

USD 70,000 - 100,000

Full time

2 days ago
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Job summary

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.

Responsibilities

  • 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.

Skills

2–4+ years experience
CRM operations
HubSpot
Excel/Google Sheets
SQL
BI tools
Forecasting
Data modeling
Sales analytics
Communication

Tools

HubSpot
Tableau
Looker
Power BI

Job description

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.

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