GTM Data & AI Analyst - Night Shift

Orcaworks · India

Key Responsibilities:

• Analyze account, prospect, pipeline, and market data to identify trends, opportunities, and gaps.
• Build and maintain datasets for account prioritization, segmentation, prospecting, and GTM planning .
• Use AI and data tools to enrich accounts, research companies, identify buying signals, and improve lead intelligence.
• Develop and refine ICP models, account scoring, segmentation, and prioritization frameworks .
• Analyze sales funnel performance, conversion rates, pipeline movement, and campaign effectiveness.
• Turn complex data into clear, actionable recommendations for GTM leadership.
• Improve data quality, accuracy, enrichment, and reporting across GTM systems.
• Apply GenAI/LLMs and automation to prospect research, lead qualification, data enrichment, and GTM workflows.
• Build dashboards and reporting to track GTM performance and proactively surface insights.

What We're Looking For:

• Bachelor's or Master's degree in Data Science, AI/ML, Computer Science, Business Analytics, Statistics, Engineering, or a related field .
• 2–5 years of experience in data analytics, data science, business analytics, GTM analytics, revenue operations, or a related role.
• Strong working knowledge of SQL, Python, Excel/Google Sheets, and BI/visualization tools .
• Familiarity with AI/ML, GenAI/LLMs, and automation tools .
• Ability to work with large datasets and translate data into meaningful business insights.
• Understanding of B2B SaaS, sales funnels, CRM data, or GTM processes is strongly preferred.
• Exposure to Salesforce, HubSpot, Apollo, ZoomInfo, Clay, or similar GTM platforms is a plus.
• Experience with ICP development, account scoring, intent data, lead enrichment, or sales analytics is a strong advantage.
• Strong communication skills and the ability to explain analytical findings to non-technical stakeholders.
• A proactive, commercially curious mindset ; someone who can independently investigate a business problem, identify opportunities, and recommend what the GTM team should do next.