Revenue Operations Analyst

Trademo; Gurugram District; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Trademo is seeking a Revenue Operations Analyst to join the Marketing team in Gurugram, India, focusing on Salesforce reporting, dashboards, and data analysis to drive revenue performance.

You will work with Marketing, Sales, and leadership to deliver accurate insights into pipeline, lead performance, conversions, and revenue, translating business questions into clear metrics.

Qualifications

• 1-2 years of experience in Revenue Operations, Sales Operations, Marketing Operations or similar analytical role.
• Strong hands-on experience with Salesforce reports and dashboards.
• Ability to translate business questions into metrics and reporting.

Responsibilities

• Build, maintain, and improve Salesforce reports and dashboards for Marketing, Sales, and leadership.
• Track the revenue funnel across leads, MQLs, opportunities, pipeline, and revenue.
• Create dashboards for pipeline performance, lead source attribution, campaign performance, and revenue forecasting.
• Ensure Salesforce data is accurate, complete, and consistently structured across teams.
• Identify data quality issues such as duplicates, missing fields, and inconsistent stage management.
• Define reporting requirements, KPIs, and performance benchmarks with Marketing and Sales.
• Analyze campaign and channel performance to understand contribution to pipeline and revenue; support lead management processes.
• Conduct ad hoc analyses to answer business questions related to pipeline, accounts, territories, and sales performance.

Skills

Salesforce reporting

Dashboard design

Data analysis

Cross-functional collaboration

Tools

Salesforce

Job description

About the Role

We are looking for a Revenue Operations Analyst to join our Marketing team and strengthen how we track, analyze, and improve revenue performance across marketing and sales. This role will primarily own Salesforce reporting, dashboards, data analysis, and funnel visibility. You will work closely with Marketing, Sales, and leadership to ensure teams have accurate, actionable insights into pipeline, lead performance, conversion, sales activity, and revenue. The ideal candidate is highly proficient in Salesforce reporting and dashboards, comfortable working with large datasets, and able to translate business questions into clear metrics and reporting.

Key Responsibilities

• Build, maintain, and improve Salesforce reports and dashboards for Marketing, Sales, and leadership.
• Track the complete revenue funnel across leads, MQLs, opportunities, pipeline, and closed revenue. Monitor key conversion metrics across different stages of the funnel and identify areas for improvement.
• Create dashboards for pipeline performance, lead source attribution, campaign performance, sales productivity, and revenue forecasting.
• Ensure Salesforce data is accurate, complete, and structured consistently across teams.
• Identify data quality issues such as duplicate records, incorrect fields, missing information, and inconsistent stage management.
• Partner with Marketing and Sales teams to define reporting requirements, KPIs, and performance benchmarks.
• Analyze campaign and channel performance to understand contribution to pipeline and revenue. Support lead management processes including lead routing, lifecycle stages, source tracking, and attribution.
• Conduct ad hoc analysis to answer business questions related to pipeline, conversions, accounts, territories, and sales performance.

What We're Looking For

• 1-2 years of experience in Revenue Operations, Sales Operations, Marketing Operations, Business Operations, or a similar analytical role.
• Strong hands-on experience with Salesforce reports and dashboards.
• Strong understanding of Salesforce objects including Leads, Contacts, Accounts, Opportunities, Campaigns, and Activities.
• Ability to build complex Salesforce reports using filters, cross-filters, summary formulas, joined reports, and dashboard components.
• Good understanding of B2B SaaS revenue funnels and metrics such as MQLs, SQLs, opportunities, pipeline, conversion rates, win rates, and revenue.
• Strong analytical skills with the ability to interpret data and communicate insights clearly.