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Datadog

GTM Strategy and Operations Analyst - EMEA

Posted 3 Hours Ago
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Hybrid
Dublin
Junior
Easy Apply
Hybrid
Dublin
Junior
As a Data Analyst on the GTM Strategy & Operations team, you'll optimize data pipelines, ensure data quality, and enable analytics for sales and marketing. You'll collaborate across teams to support strategic initiatives with reliable data insights.
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 GTM Strategy & Operations, Data Analyst

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.


What You’ll Do:

  • 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

Who You Are:

  • 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

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.


Benefits and Growth:

  • 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

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

About Datadog: 

Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center.

Equal Opportunity at Datadog:

Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. 

Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. 

Privacy and AI Guidelines:

Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

Top Skills

Dbt
Excel
Google Sheets
Metabase
Power BI
Python
Snowflake
SQL
Tableau

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