Rohit Abbireddi

GTM Engineer and Revenue Analytics professional with 4+ years of experience building the systems, analytics, and automation frameworks that power revenue growth, pipeline visibility, and go-to-market execution. Proven track record of developing scalable GTM infrastructure, optimizing revenue workflows, and delivering actionable insights across product, sales, marketing, and finance teams, supporting business decisions for organizations ranging from high-growth startups to enterprises serving 50M+ users. Combines expertise in SQL, Python, Salesforce, HubSpot, APIs, and workflow automation with strong analytical skills in funnel performance, customer lifecycle behavior, segmentation, and revenue optimization to translate complex data into measurable business outcomes.

Analyst (GTM Consultant) - Mozilla - San Francisco, CA

(2025-12 - 2026-07)

• Partnered with Revenue and Product teams to analyze user engagement and monetization metrics (DAU/MAU, CTR, partner yield) across 50M+ users, identifying key drivers of revenue performance.
• Built and maintained automated revenue analytics pipelines (Python, SQL, Snowflake) to track GTM performance and enable real-time decision-making.
• Developed GTM dashboards (Looker, Power BI) integrating product, revenue, and partner datasets, improving visibility into funnel performance and reducing reporting turnaround time by 30%.
• Conducted customer segmentation, cohort, retention, and customer journey analysis across user segments and geographies, generating voice-of-customer insights that informed GTM messaging, positioning strategies, and monetization initiatives.
• Delivered variance analysis and performance deep-dives, translating insights into actionable GTM recommendations adopted by leadership in revenue planning cycles.
• Standardized KPI definitions and metric governance across Product, Finance, and Data teams, improving reporting consistency and reducing data discrepancies by 25%.

GTM Data Analyst (Revenue Systems) - Morgan Stanley - Dallas, TX

(2025-04 - 2025-09)

• Automated revenue and performance reporting workflows using SQL, Python, and Oracle ERP, reducing manual effort by 35–40% and improving data accuracy across reporting cycles.
• Built GTM dashboards (Power BI) integrating revenue, product, and risk datasets to track funnel performance, revenue trends, and key drivers, reducing reporting turnaround time by 30%.
• Implemented data validation and anomaly detection frameworks across revenue pipelines, reducing discrepancies by 25% and improving the reliability of GTM reporting.
• Conducted funnel and cohort analysis across financial products, identifying bottlenecks in revenue generation and contributing to improved monetization strategies.
• Standardized GTM KPI definitions (conversion rates, yield, revenue contribution) and reporting logic across teams, improving alignment and consistency in performance tracking.

GTM Engineer - Myma.Ai - College Park, MD

(2024-01 - 2024-12)

• Analyzed customer behavior, product adoption, and revenue datasets to identify key performance drivers, supporting customer segmentation, GTM positioning, and pricing strategy decisions that improved revenue efficiency by 15%.
• Built real-time GTM dashboards (Tableau, Power BI) tracking acquisition, engagement, and revenue metrics, reducing reporting latency by 40% and enabling faster decision-making for leadership teams.
• Supported revenue cycle and GTM optimization initiatives by analyzing regulatory changes and payment flows, contributing to 12% improvement in operational efficiency and reduced revenue leakage.
• Led data migration and transformation efforts for cost allocation and revenue tracking systems across 12+ entities, ensuring continuity of reporting and improving data accessibility for GTM and finance teams.

GTM Strategy Analyst - LTI Mindtree - India

(2021-06 - 2023-07)

• Owned GTM forecasting and pipeline analytics for strategic business units, developing revenue models that improved forecast accuracy by 15% and enabled better alignment between sales targets, resource planning, and execution strategies.
• Conducted market, customer, and pipeline analysis to identify conversion opportunities, pricing optimization strategies, and competitive positioning improvements that increased revenue efficiency across key accounts.
• Built automated reporting and pipeline-tracking workflows using Power Automate and CRM reporting tools, reducing reporting errors by 15% and improving visibility into sales and GTM performance metrics.
• Analyzed billing and revenue operations data to identify process bottlenecks, reducing revenue leakage by 20% and improving end-to-end revenue realization through workflow optimization.
• Delivered pipeline performance insights and variance analysis to business leaders, highlighting gaps between targets and actuals and enabling corrective actions in GTM execution.
• Partnered with sales, operations, and finance teams to align pipeline metrics, revenue targets, and reporting frameworks, improving consistency and decision-making across functions.

Master of Science - Information Systems - University of Maryland, College Park (2023-08 - 2024-12)