Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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92к-118к CAD/год
110к CAD120к CADмедиана180к CAD
По похожим ролям (25) ~ 120к CAD/год
На СНГ рынке: $3.2к/мес ($2.7к - $3.6к)
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Роль четко описана: она сочетает практическую работу с SQL и ответственность за RevOps-проекты, а также предлагает автономность и возможности развития в удаленной SaaS-компании.
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Современная работа с данными
Поддержка развития
Удаленная компания
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior Revenue Operations Analyst (SaaS): Building reporting, dashboards, SQL queries, and spreadsheet models that connect product, billing, CRM, and GTM data with an accent on revenue performance analysis, forecasting, data quality, and operational efficiency. Focus on integrating Databricks, HubSpot, Zendesk, and Gong data, leading cross-functional CRM and process improvements, and applying AI and automation to scalable revenue operations.
Location: Canada — fully remote
Salary: CAD 92,000–118,000/year
Company
hirify.global builds payroll software for small businesses across Canada.
What you will do
Design, build, and maintain reporting and dashboards for Marketing, Sales, and Customer Support.
Analyze GTM performance, identify trends, and provide actionable recommendations to business leaders.
Build SQL queries and spreadsheet models for commission tracking, pipeline analysis, forecasting, capacity planning, and CRM reconciliation.
Connect data from Databricks, HubSpot, Zendesk, and Gong into reliable business reporting and maintain data accuracy.
Lead cross-functional RevOps initiatives involving CRM improvements, reporting, process redesign, and system implementations.
Improve operational efficiency through automation and AI, while creating documentation, procedures, and knowledge resources.
Requirements
4+ years of experience in Revenue Operations, Sales Operations, Marketing Operations, or a data/business analyst role supporting GTM teams within a SaaS or high-growth company.
Strong SQL skills, including multi-table joins, CTEs, window functions, and validating results against source systems.
Experience independently managing projects across multiple business systems with minimal supervision.
Strong analytical skills for solving ambiguous business problems using data.
Working knowledge of CRM data structures, including objects, associations, and lifecycle stages; HubSpot experience is a strong asset, while Zendesk and Gong exposure is a plus.
Strong Google Sheets or Excel skills for modeling and reconciliation.
Comfort using AI tools such as ChatGPT, Claude, or embedded platform AI to improve workflows and productivity.
Excellent communication skills, attention to detail, a continuous improvement mindset, and the ability to explain technical concepts and data insights to varied stakeholders.
Post-secondary education in Business, Analytics, or a related field, or equivalent practical experience.
Nice to have
Experience with Databricks, Snowflake, BigQuery, or BI tools such as Looker, Tableau, or Power BI.
Python experience for data work.
Experience with lead scoring, lifecycle management, or marketing attribution reporting.
HubSpot certifications, deep CRM administration experience, or experience designing AI-enabled operational workflows.
Experience improving team operations through automation, documentation, and operational excellence.
Culture & Benefits
Fully remote work with flexibility and autonomy.
Collaborative, inclusive environment focused on impact, curiosity, kindness, and continuous improvement.
Professional development, new experiences, and career growth opportunities.
Responsible experimentation with AI and encouragement to challenge assumptions.
Virtual interviews and accommodation support throughout the hiring process.
Hiring process
Submit a resume; a formal cover letter is not required, though optional comments about the opportunity are welcome.
Selected candidates will be contacted to schedule a call. AI-based tools support the initial application review, with final progression decisions made by the People Ops team.
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