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Mid-level Bangalore Sr Data Analyst with generalist PLG and Snowflake skills increases applicant competition.
Skills are transferable across SaaS and GTM teams but require PLG and revenue analytics domain knowledge.
Explicit 5–9 years plus mandatory Snowflake, dbt, and expert SQL make filters stringent.
Own the analytics roadmap and data models for the Pave product-led growth (PLG) funnel and associated Sales domain, including defining and measuring key metrics like trial volume, activation, conversion, and retention.
Design, build, and maintain Snowflake data models and dbt workflows supporting PLG and Sales analytics while ensuring high standards of testing, documentation, and cross-team alignment.
Serve as senior analytics partner to Sales and Revenue Operations leadership, providing actionable insights from ambiguous business questions and driving consensus on metric definitions across stakeholders.
5 to 9 years of experience in data analytics, business intelligence, or GTM/sales analytics with domain ownership experience.
Expert SQL skills and strong dimensional data modeling experience on cloud platforms, ideally Snowflake.
Hands-on dbt experience including model design, testing, dependency management, and code review.
Experience supporting Sales, Revenue Operations, or GTM teams in a SaaS environment with involvement in business reviews and forecasting; located in Bangalore, India (Hybrid).
Experienced in product-led growth analytics within SaaS organizations, able to independently scope ambiguous problems and deliver data-driven business impact.
Strong collaborator and influencer able to resolve conflicting metric definitions and maintain trustworthiness of critical sales and product data among cross-functional teams.
Technically proficient in building scalable, reusable analytics models and mentoring other analysts, with a balance of close partnership with Data Engineering and business stakeholders.