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Sales Operations Analyst - Remote​/Telecommute

Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94199, USA
Listing for: Cynet systems Inc
Remote/Work from Home position
Listed on 2026-01-16
Job specializations:
  • Business
    Sales Analyst, Business Development
Salary/Wage Range or Industry Benchmark: 34.31 - 39.31 USD Hourly USD 34.31 39.31 HOUR
Job Description & How to Apply Below
Position: Sales Operations Analyst - Remote / Telecommute

Job Description:

Pay Range: $34.31hr - $39.31hr

Requirements / Must Have
  • Strong proficiency with data modeling, data extraction, and business intelligence tools.
  • Excellent analytical skills with the ability to translate data into actionable insights.
  • Strong communication and collaboration skills.
  • High attention to detail with the ability to manage multiple priorities.
Experience
  • Three to five years of experience in a similar role in a fast-paced business environment.
Responsibilities
  • Drive analytics for territory planning, segmentation, capacity modeling, and quota setting.
  • Partner with sales leadership and sales operations teams on forecasting, pipeline analysis, and process improvements.
  • Develop and refine forecasting methodologies and align with key stakeholders.
  • Develop and manage dashboards, reports, and KPIs to monitor sales performance.
  • Generate weekly regional insights and reports to identify process gaps and drive resolutions.
  • Conduct ad hoc analyses to support business initiatives and leadership inquiries.
  • Support sales managers and leaders with analytical insights and operational improvement recommendations.
  • Ensure data accuracy and integrity in sales tools.
  • Collaborate with Sales, Marketing, Finance, and other teams to improve sales efficiency.
  • Participate in and drive cross-functional projects with strong accountability.
  • Collaborate with sales operations to design and execute sales compensation and incentive strategies.
Skills
  • Data modeling.
  • Business intelligence and reporting.
  • Forecasting and pipeline analysis.
  • Dashboard development.
  • Data accuracy and integrity management.
  • Cross-functional collaboration.
  • Analytical problem solving.
Qualification and Education
  • Degree in Applied Mathematics, Marketing, Finance, Statistics, Computational Sciences, or a related field.
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