Revenue Analytics Analyst
J
JobgetherB2B SaaS
Work remotely from IndiaFull-TimeMiddle
Salary1,500,000 - 2,500,000 INR per year
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Job Details
- Experience
- At least two years of relevant professional experience
- Required Skills
- SQLBusiness IntelligenceSalesforceNetSuite
Requirements
- Have at least two years of relevant professional experience in revenue analytics, business intelligence, data analytics, financial analytics, or a related field.
- Have experience defining, managing, or governing company-wide business metrics in a B2B SaaS environment.
- Understand subscription metrics, including ARR, ACV, NDR, GDR, customer counts, and related revenue indicators.
- Bring advanced practical SQL skills to query, analyze, reconcile, and validate complex datasets across business systems.
- Have experience working with CRM, finance, customer success, and product platform data; Salesforce and NetSuite are preferred.
- Understand data quality management, metric standardization, reporting governance, data lineage, and source-of-truth management.
- Be able to investigate data discrepancies, identify root causes, and implement sustainable reporting improvements.
- Be familiar with business intelligence tools, data products, data engineering workflows, and reporting automation initiatives.
- Be able to translate complex data issues into clear, actionable recommendations.
- Bring communication and stakeholder management abilities to align cross-functional teams on metric definitions and governance standards.
- Work independently, manage competing priorities, and take ownership of business-critical data accuracy and consistency.
Responsibilities
- Define, document, and certify company-wide metrics, including ARR, ACV, NDR, GDR, customer count, and employee count.
- Certify metrics used in company-wide and executive reporting across reporting cycles and business reviews.
- Investigate and resolve data discrepancies across Salesforce, NetSuite, customer success platforms, and product data.
- Establish data quality controls, data lineage documentation, metric ownership frameworks, and scalable governance processes.
- Partner with business intelligence, data products, AI, and data engineering teams on reporting automation.
- Serve as the primary contact for Finance, GTM, G&A, Product, and Engineering stakeholders on metric definitions and reporting questions.
- Identify and close gaps between departmental reporting practices to standardize shared performance indicators.
- Evaluate reporting processes and implement scalable improvements to data reliability and accessibility.
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