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GTM Data Analyst – Go To Market

Likely ghost job

🕒 April 20

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

📉 Data Analyst

Where this job comes from

Posted on ADV TECHMINDS PVT LTD's careers page, not through a job board

First seen by Remote Rocketship April 20

Still open on ADV TECHMINDS PVT LTD's site. Checked 4 hours ago.

Logo of ADV TECHMINDS PVT LTD

ADV TECHMINDS PVT LTD

11 - 50 employees

Founded 2015

💼 Consulting

🤝 B2B

🤖 Artificial Intelligence

Consulting • B2B • Artificial Intelligence

ADV TECHMINDS PVT LTD is an IT services and consulting firm that provides IT solutions and digital transformation services to businesses. The company focuses on IT strategy and planning, cloud enablement, project management, and security consulting. Its specialties include . NET, SAP consulting, Salesforce consulting, data engineering & analytics, cloud engineering, Java full‑stack development, quality assurance & automated testing, generative AI/LLM, and providing remote contract developers and user support.

📋 Description

• Own end-to-end data product development—from business requirements and technical design to build, deployment, documentation, and maintenance. • Partner with GTM teams (Planning, Sales Ops, Marketing Ops, and Finance) to translate ambiguous business questions into clear data requirements and analytical frameworks. • Develop scalable pipelines and models in SQL/Snowflake to support territory design, capacity planning, coverage models, segmentation, and forecasting workflows. • Build intuitive dashboards and self-serve assets in Tableau that increase operational visibility and reduce ad-hoc requests. • Perform rigorous testing to ensure data accuracy and reliability across all GTM data products.

🎯 Requirements

• 8+ years of experience in a similar GTM Operations, Revenue Operations, or Sales Operations role. • Deep expertise in SQL (Snowflake), Tableau, and the Salesforce data model. • Demonstrated ability to work autonomously and manage your own time effectively to meet project goals. • Experience with translating complex business processes into data structures, including operational edge cases and exception logic.

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