Revenue Operations & Data Analyst (Remote)

Jobgether SRL; Canada; Hybrid; CAD 70,000 - 110,000; Full time

Benefits offered by this job

Remote-friendly

Learning & development budget

Flexible PTO

Healthcare benefits

Job summary

Jobgether SRL seeks a Revenue Operations Analyst, Reporting & Data based in Canada. This remote-friendly role will transform complex datasets into actionable insights, supporting Revenue Operations, Finance, Product, and executives.

You will own BI reporting, data quality, and product adoption analytics while leveraging SQL, CRM platforms, and modern BI tools to automate workflows and enhance efficiency. Grow with acquisitions and data infrastructure evolution.

Qualifications

• Proven experience in revenue operations, BI, data analytics in a SaaS setting.
• Strong SQL skills and experience with Snowflake and dbt.
• Practical CRM experience with HubSpot or Salesforce and data-quality controls.
• Experience creating production reports and dashboards for executives.

Responsibilities

• Support and own recurring revenue operations dashboards and KPI reporting across marketing, sales, and customer success.
• Assist with revenue-sharing and financial reporting for partner/affiliate agreements.
• Respond to ad hoc data requests from executives and cross-functional teams.
• Improve CRM data quality and standardize fields across product lines.
• Collaborate with Product Analytics to integrate usage metrics into CRM.

Skills

SQL

CRM

BI tools

Data quality

AI/automation

Communication

Tools

Snowflake

dbt

HubSpot

Salesforce

Looker

Tableau

Power BI

Job description

Jobgether SRL seeks a Revenue Operations Analyst, Reporting & Data based in Canada. This remote-friendly role will transform complex datasets into actionable insights, supporting Revenue Operations, Finance, Product, and executives.

You will own BI reporting, data quality, and product adoption analytics while leveraging SQL, CRM platforms, and modern BI tools to automate workflows and enhance efficiency. Grow with acquisitions and data infrastructure evolution.