Senior Revenue Operations Analyst

Wagepoint

7h•Remote

About The Position

Wagepoint is seeking a Senior Revenue Operations Analyst to serve as the analytical engine of its Revenue Operations team. The role owns the reporting, models, and definitions that Marketing, Sales, and Customer Support use to decide where to focus their time. It is data-focused and combines SQL work in the Databricks data warehouse with Revenue Operations judgment to turn ambiguous business questions into actionable answers. The analyst will connect data across the go-to-market (GTM) technology stack, investigate changes in performance, and proactively provide recommendations to team leads. The role also involves hands-on system configuration and troubleshooting to maintain data accuracy, and using AI to improve the speed and effectiveness of analysis. The position reports directly to the Director of Revenue Operations. Wagepoint is a remote-first company building payroll software for small businesses across Canada. The role partners closely with Marketing, Sales, Customer Support, and leadership to improve data quality, streamline processes, and enable better decision-making. It also leads cross-functional operational initiatives and builds documentation and processes that support consistency and scalability.

Requirements

At least 4 years of experience in Revenue Operations, Sales Operations, Marketing Operations, or a data or business analyst role supporting go-to-market teams, within a SaaS or high-growth company.
Strong working 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 and the ability to solve ambiguous business problems using data.
Working knowledge of CRM data structures, including objects, associations, and lifecycle stages.
Strong Google Sheets or Excel skills for modeling and reconciliation work.
Comfort using AI tools such as ChatGPT, Claude, or embedded platform AI to improve workflows and productivity.
Excellent communication skills, including the ability to explain technical concepts and data insights to a range of stakeholders.
A continuous improvement mindset, strong attention to detail, and an interest in building scalable processes.
Post-secondary education in Business, Analytics, or a related field, or equivalent practical experience.

Nice To Haves

HubSpot experience; exposure to Zendesk and Gong is also an asset.
Experience with a cloud data warehouse such as Databricks, Snowflake, or BigQuery, or a BI tool such as Looker, Tableau, or Power BI.
Python experience for data work.
Experience building lead scoring models, lifecycle management, or marketing attribution reporting.
HubSpot certifications or deep CRM administration experience.
Experience designing and implementing AI-enabled operational workflows that improved team efficiency.
Interest in improving how teams work through automation, documentation, and operational excellence.

Responsibilities

Design, build, and maintain reporting and dashboards that provide meaningful insights across Marketing, Sales, and Customer Support.
Analyze GTM performance, identify trends, and translate complex data into actionable recommendations for business leaders.
Build and maintain SQL queries and spreadsheet models for commission tracking, pipeline analysis, forecasting, capacity planning, and CRM data reconciliation.
Pull together data from the GTM technology stack, including Databricks, HubSpot, Zendesk, and Gong, to provide a reliable, unified view of the business.
Work hands-on in GTM systems to configure, troubleshoot, and maintain data accuracy.
Identify opportunities to improve operational efficiency through automation and AI, and help the broader GTM organization adopt new capabilities.
Lead cross-functional Revenue Operations initiatives, including CRM improvements, reporting enhancements, process redesigns, and system implementations.
Create and maintain clear documentation, standard operating procedures, and knowledge resources that improve consistency and scalability.
Partner with Marketing, Sales, Customer Support, and leadership to improve data quality, streamline processes, and enable better decision-making.
Proactively investigate changes in business metrics and present recommendations to team leads.