Revenue Operation Analyst

Apex Analytix Technology; Dadri; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Apex Analytix Technology is seeking a Revenue Operations Analyst to own Salesforce data integrity and reporting for Sales, BD, Finance, and leadership. You will build and maintain reports and dashboards and ensure trusted numbers across platforms.

The role is hands-on, requiring you to answer the question behind the request, not just deliver the numbers, and collaborates daily with Marketing, Sales, and Finance.

Qualifications

• 4–5+ years in revenue/sales operations or data analysis supporting a commercial team.
• Hands-on Salesforce experience: reports, dashboards, data imports, list views, and Flow Builder or similar automation.
• Demonstrated analytical ability: structure a question, select data, and explain meaning beyond the numbers.
• Experience using AI-assisted tools for data analysis and data exploration (SOQL/SQL, Python, Excel).
• Advanced Excel/Google Sheets and working SQL skills to query databases.

Responsibilities

• Build and maintain Salesforce reports, dashboards for reps, managers, and executives.
• Own funnel reporting (Lead to MQL to SAL to SQL) with defined metrics.
• Analyze BD activity and marketing-sourced leads to surface trends and actions.
• Create analyses beyond native Salesforce using SQL and BI dashboards.
• Reconcile data across Salesforce, HubSpot, and engagement tools for a single source of truth.
• Document report definitions and recurring processes for repeatability.
• Calculate monthly commissions from Salesforce data.

Skills

Salesforce reports and dashboards

Data analysis

SQL queries

Excel/Google Sheets

AI-assisted data analysis

What-if modeling

Data quality discipline

Written and verbal English

Interpretation of metrics

Problem solving

Tools

Salesforce

HubSpot

Groove

Koncert

Seismic

Job description

Job Summary

We're seeking a Revenue Operations Analyst to own both sides of Salesforce: the integrity of the data going in and the reporting coming out. You will build the reports and dashboards that Sales, Business Development, Finance, and leadership run on, and keep the underlying data accurate so those numbers are trusted. This is a hands-on analyst role - we expect you to answer the question behind the request, not just deliver the number. The position reports to the Senior Manager of Revenue Operations and works daily with Marketing, Business Development, Sales, and Finance.

Responsibilities

Reporting Analytics

• Builds and maintains Salesforce reports, custom reports, and dashboards for frontline reps, managers, and executives
• Owns recurring funnel reporting - Lead to MQL to SAL to SQL conversion, speed-to-lead, stage progression, and pipeline creation - with documented, consistent metric definitions
• Analyzes Business Development activity (outreach, response times, meeting conversion) and marketing-sourced lead quality - surface trends, outliers, and recommended actions
• Builds analysis beyond native Salesforce reporting using Excel models, SQL queries, and BI dashboards
• Reconciles data across Salesforce, HubSpot, and the sales engagement stack to ensure one source of truth
• Turns ad hoc questions from Sales, Marketing, and Finance leadership into repeatable reporting with documented methodology
• Calculates monthly commissions and commission statements from Salesforce data
• Performs cohort and trend analysis (retention/expansion by segment, YoY, seasonality) and detect anomalies using statistical methods
• Evaluates data quality before analysis - identify root causes vs. symptoms and drive ambiguous metric definitions to precise, documented terms
• Builds decision frameworks with trade-offs, run scenario/what-if modeling, and redirect stakeholders when the wrong analysis is requested (core skills, ask right questions)
• Breaks down complex problems into the right data sources and metrics; apply statistical fundamentals (mean, median, percentiles, standard deviation, correlation) with documented methodology

Salesforce Data Automation

• Maintain accurate, consistent records across accounts, contacts, leads, and opportunities - including data cleansing, deduplication, and field standardization
• Monitor and enforce data quality standards; build reporting that makes data quality gaps visible
• Own lead import, routing, and assignment for marketing-sourced and third-party contacts to business development reps and sellers
• Design and maintain Salesforce Flows and declarative automation for lead management, data quality, and reporting
• Integrate data across sales technologies (HubSpot, Groove, Koncert, Seismic) for a holistic view of engagement and pipeline effectiveness
• Understand object relationships, data model architecture, and the security model (profiles, permission sets, roles, sharing rules) and how they affect report visibility
• Implement validation rules and duplicate management to prevent bad data at entry; use enrichment tools to fill data gaps
• Manage change (sandbox deployments, change sets) and use audit fields for change tracking and troubleshooting

Go-to-Market Support

• Build targeted audience lists for outbound campaigns and event follow-up, aligned to account segmentation, buying personas, and intent data
• Document report definitions, data logic, and recurring processes so the work is repeatable and not person-dependent

Qualifications

• 4 - 5+ years in relevant revenue operations, sales operations, or business/data analysis supporting a commercial team
• Hands-on Salesforce expertise - reports, custom report types, dashboards, data imports, list views, and Flow Builder or comparable declarative automation
• Demonstrated analytical ability - able to structure a question, choose the right data, and explain what the result means, not just produce the output
• Experience using AI-assisted tools for data analysis (SOQL/SQL generation, Python scripts, Excel formulas) and data exploration (summarize datasets, identify patterns, generate hypotheses)
• Write effective AI prompts with context and constraints; verify generated output and recognize AI limitations and hallucinations
• Advanced Excel or Google Sheets - Power Query, Power Pivot, advanced lookups, string manipulation, and data modeling
• Working SQL skills - able to query a database or warehouse
• Experience building and maintaining dashboards in a BI tool (Power BI, Tableau, or similar)
• Clear written and verbal English and strong asynchronous communication habits

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.