Data Analyst - GTM Strategy & Operations
About the position
We’re looking for a Data Analyst I to join our growing GTM Strategy & Operations team. Our team tackles complex, high-impact problems that require insight, creativity, and precision to build scalable processes, tools, and systems for a rapidly expanding global business.
In this role, you’ll help architect, enrich, and optimize the data that powers our go-to-market strategy. You’ll work across systems and teams to design and maintain scalable data pipelines, ensure the accuracy and reliability of core datasets, and enable actionable insights for the Sales and Marketing organizations. Your work will directly influence how the organization uses GTM data to drive strategy, measure performance, and accelerate growth.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
Responsibilities
• Design, build, and maintain scalable data pipelines and workflows that power the GTM organization
• Own the operational data layer that supports core GTM metrics, dashboards, and automation workflows
• Develop robust data models in dbt (or similar tools) to transform raw data into clean, reliable datasets used across teams
• Partner with internal stakeholders to define and implement business logic that improves data quality, accuracy, and consistency across systems
• Manage and optimize ETL processes to integrate data from multiple internal and external sources into centralized repositories
• Build repeatable frameworks for data validation, monitoring, and enrichment to ensure reliable insights
• Collaborate closely with Sales, Marketing, and Customer Success to identify data needs, define metrics, and enable self-service analytics
• Work cross-functionally to improve how GTM data flows between Salesforce, Snowflake, and visualization tools like Metabase, Tableau, or Power BI
• Contribute flexibly to high-priority projects that require rapid data-driven problem-solving in a fast-paced environment
Requirements
• Bachelor’s Degree in Computer Science, Data Analytics, Information Systems, or equivalent
• Minimum two years of relevant professional experience, including at least one year supporting sales teams or working with CRM tools (e.g., Salesforce)
• Proficiency in SQL, with the ability to write and optimize complex queries independently
• Experience with ETL tools such as dbt or similar frameworks for transforming and modeling data
• Comfort working in spreadsheets like Google Sheets or Excel for data analysis and reporting
• Experience with modern data warehouses such as Snowflake, Redshift, or BigQuery
• Familiarity with Python, including an understanding of core data concepts, scripting fundamentals, and automation
• Strong communication skills, with the ability to clearly present data-driven insights to both technical and non-technical audiences
• Experience using visualization tools such as Metabase, Tableau, or Power BI
• A naturally curious, analytical mindset with a drive to uncover the “why” behind the data
Benefits
• Continuous training and career growth
• New hire stock equity (RSUs) and employee stock purchase plan
• Generous and competitive US benefits
• Friendly and inclusive workplace culture
Apply Now
Apply Now
We’re looking for a Data Analyst I to join our growing GTM Strategy & Operations team. Our team tackles complex, high-impact problems that require insight, creativity, and precision to build scalable processes, tools, and systems for a rapidly expanding global business.
In this role, you’ll help architect, enrich, and optimize the data that powers our go-to-market strategy. You’ll work across systems and teams to design and maintain scalable data pipelines, ensure the accuracy and reliability of core datasets, and enable actionable insights for the Sales and Marketing organizations. Your work will directly influence how the organization uses GTM data to drive strategy, measure performance, and accelerate growth.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
Responsibilities
• Design, build, and maintain scalable data pipelines and workflows that power the GTM organization
• Own the operational data layer that supports core GTM metrics, dashboards, and automation workflows
• Develop robust data models in dbt (or similar tools) to transform raw data into clean, reliable datasets used across teams
• Partner with internal stakeholders to define and implement business logic that improves data quality, accuracy, and consistency across systems
• Manage and optimize ETL processes to integrate data from multiple internal and external sources into centralized repositories
• Build repeatable frameworks for data validation, monitoring, and enrichment to ensure reliable insights
• Collaborate closely with Sales, Marketing, and Customer Success to identify data needs, define metrics, and enable self-service analytics
• Work cross-functionally to improve how GTM data flows between Salesforce, Snowflake, and visualization tools like Metabase, Tableau, or Power BI
• Contribute flexibly to high-priority projects that require rapid data-driven problem-solving in a fast-paced environment
Requirements
• Bachelor’s Degree in Computer Science, Data Analytics, Information Systems, or equivalent
• Minimum two years of relevant professional experience, including at least one year supporting sales teams or working with CRM tools (e.g., Salesforce)
• Proficiency in SQL, with the ability to write and optimize complex queries independently
• Experience with ETL tools such as dbt or similar frameworks for transforming and modeling data
• Comfort working in spreadsheets like Google Sheets or Excel for data analysis and reporting
• Experience with modern data warehouses such as Snowflake, Redshift, or BigQuery
• Familiarity with Python, including an understanding of core data concepts, scripting fundamentals, and automation
• Strong communication skills, with the ability to clearly present data-driven insights to both technical and non-technical audiences
• Experience using visualization tools such as Metabase, Tableau, or Power BI
• A naturally curious, analytical mindset with a drive to uncover the “why” behind the data
Benefits
• Continuous training and career growth
• New hire stock equity (RSUs) and employee stock purchase plan
• Generous and competitive US benefits
• Friendly and inclusive workplace culture
Apply Now
Apply Now