InfoStride
GTM Data Analyst Internal Data Products (Sunnyvale)
InfoStride, Sunnyvale, California, United States, 94087
Senior GTM Data Analyst
Internal Data Products (Contract) Duration:
46 months (extendable) Start Date:
Mid-January Location Preferences: Onsite:
2 days/week in San Francisco Remote:
PST time zone only
Though the role says salesforce and other skills, main one is strong SQL and if they have tableau for data visualization, that is ideal SaaS/GTM exp needed
Notes collected when speaking to the manager
Someone that has experience building internal tooling using SQL - understand saas, business sales funnel and how that contributes to revenue etc. someone that can translate customer need to tech reqts and go back and explain it to the customer Strong SQL query experience needed. Tableau is a big plus for visualization The ideal candidate understands sales marketing, GTM, Saas and uses that knowledge to provide market insights.
Senior GTM Data Analyst
Internal Data Products
The Senior GTM Data Analyst will design, build, and scale internal data products that power GTM planning, resourcing, segmentation, and performance visibility. This role combines technical expertise with deep understanding of SaaS GTM operations to translate business needs into reliable, scalable data assets. Own end-to-end data product development
from business requirements and technical design to build, deployment, documentation, and maintenance. Partner with GTM 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. Evaluate, contextualize, and translate business processes (e.g., lead routing, account whitespace) into accurate and maintainable data logic. Perform rigorous testing to ensure data accuracy and reliability Serve as the SME for internal GTM models Operate independently with minimal oversight
Requirements
5+ years of experience in GTM Operations, Revenue Operations, Sales Operations, or similar data-intensive role within a large or high-growth SaaS company; Background creating datasets and tools supporting territory planning, segmentation, scoring models, capacity planning, or pipeline health. Expert-level proficiency in SQL (complex joins, window functions, CTEs), Snowflake, and Salesforce data model navigation. Advanced experience with Tableau (LOD expressions, parameters, complex calculations, performance optimization). Demonstrated ability to translate business processes into data structures, including operational edge cases and exception logic. Comfortable operating autonomously in ambiguous environments; able to prioritize and deliver high-quality work independently. Understanding of SaaS unit economics (ARR, ACV, retention, funnel metrics, productivity metrics). Experience building models in SQL or equivalent.
Thanks Harpreet Email : Harpreet.kaur2@infostride.com
Internal Data Products (Contract) Duration:
46 months (extendable) Start Date:
Mid-January Location Preferences: Onsite:
2 days/week in San Francisco Remote:
PST time zone only
Though the role says salesforce and other skills, main one is strong SQL and if they have tableau for data visualization, that is ideal SaaS/GTM exp needed
Notes collected when speaking to the manager
Someone that has experience building internal tooling using SQL - understand saas, business sales funnel and how that contributes to revenue etc. someone that can translate customer need to tech reqts and go back and explain it to the customer Strong SQL query experience needed. Tableau is a big plus for visualization The ideal candidate understands sales marketing, GTM, Saas and uses that knowledge to provide market insights.
Senior GTM Data Analyst
Internal Data Products
The Senior GTM Data Analyst will design, build, and scale internal data products that power GTM planning, resourcing, segmentation, and performance visibility. This role combines technical expertise with deep understanding of SaaS GTM operations to translate business needs into reliable, scalable data assets. Own end-to-end data product development
from business requirements and technical design to build, deployment, documentation, and maintenance. Partner with GTM 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. Evaluate, contextualize, and translate business processes (e.g., lead routing, account whitespace) into accurate and maintainable data logic. Perform rigorous testing to ensure data accuracy and reliability Serve as the SME for internal GTM models Operate independently with minimal oversight
Requirements
5+ years of experience in GTM Operations, Revenue Operations, Sales Operations, or similar data-intensive role within a large or high-growth SaaS company; Background creating datasets and tools supporting territory planning, segmentation, scoring models, capacity planning, or pipeline health. Expert-level proficiency in SQL (complex joins, window functions, CTEs), Snowflake, and Salesforce data model navigation. Advanced experience with Tableau (LOD expressions, parameters, complex calculations, performance optimization). Demonstrated ability to translate business processes into data structures, including operational edge cases and exception logic. Comfortable operating autonomously in ambiguous environments; able to prioritize and deliver high-quality work independently. Understanding of SaaS unit economics (ARR, ACV, retention, funnel metrics, productivity metrics). Experience building models in SQL or equivalent.
Thanks Harpreet Email : Harpreet.kaur2@infostride.com