Revenue Operations Analyst, Reporting & Data
New
J
JobgetherVertical SaaS
Based in CanadaFull-TimeMiddle
SalaryCompetitive base salary with potential bonus compensation.
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Job Details
- Required Skills
- SQLMicrosoft Power BISalesforceSnowflakeTableauHubSpotdbtLooker
Requirements
- Have experience in revenue operations, business intelligence, data analytics, or a related field.
- Bring strong SQL skills.
- Have experience querying cloud data warehouses such as Snowflake.
- Have experience with modern data transformation workflows such as dbt.
- Have practical experience with CRM platforms such as HubSpot or Salesforce, including data structures, field mapping, pipeline management, data-quality controls, and workflow optimization.
- Demonstrate experience supporting recurring production reporting, including data extraction, report development, quality assurance, and publication for stakeholders.
- Be proficient with reporting and visualization platforms such as Sigma, Looker, Tableau, or Power BI.
- Have experience using AI tools such as Claude, Replit, or OpenAI for prototyping, analysis, and problem-solving.
- Bring attention to detail, analytical judgment, and the ability to work with structured and unrefined data.
- Familiarity with go-to-market reporting, financial analysis, accounting reconciliations, revenue operations metrics, or acquisition-related data integration is preferred.
Responsibilities
- Support and progressively own recurring revenue operations dashboards, KPI reporting, and performance analyses.
- Assist Finance and Accounting with revenue-sharing reports, reconciliation activities, and reporting for embedded financing products.
- Respond to ad hoc data and reporting requests from executives, program leaders, and cross-functional teams.
- Audit CRM pipelines and fields, standardize and consolidate CRM fields, and address data-quality gaps.
- Collaborate with Product Analytics to integrate product usage and adoption metrics into the CRM.
- Identify and automate manual, spreadsheet-based workflows and enable CRM information to update automatically.
- Prototype reports and analytical solutions with AI-powered tools and help implement approved improvements in the production BI environment.
- Support reporting for new initiatives and acquisition-related data matching, migration, and reconciliation.
- Develop understanding of customer and revenue data structures, including customer identity resolution across systems.
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