Principal Sales Infrastructure Analyst - Analytics Engineering
Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Oct 4, 2026. Atlassian scores A on the Alion truth index.
Working at Atlassian
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We’re looking for a versatile, seasoned sales data analyst or analytics engineer that will focus on driving data alignment (improving business processes and production systems) between enterprise go-to-market and finance. You’ll design clean, robust data pipelines and infrastructure to monitor data drift between systems/applications like Salesforce, Oracle Fusion, Gainsight, and Databricks. As an experienced senior analytics engineer on our team, you’ll help evolve our data stack, champion best practices in data processing + analytics design, and build a robust context layer on top of our data that enables AI agents to interact safely.
Responsibilities
Design, build, and maintain data infrastructure that ensures data quality, consistency, and accessibility for analytical workflows
Lead the development of data products and an AI context layer that enables analytics and data access to scale across the company
Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
Partner with finance, data engineering, and other x-functional teams to track and flag data inconsistencies that obscure the company’s ability to accurately close our books
Execute sizing analyses for transformational and ad-hoc data infrastructure changes, including well-defined impact analyses to support new and ongoing initiatives and product launches, conducting investigations and QA on source data quality
Develop SME-level knowledge and ownership for core system data transformations (owning the
requirements → UAT → DE implementationcycle for a new product or data structure)Leverage available tools to find efficiencies and process improvements to help us and our partner teams (deal desk, central analytics) remove manual processes and improve source data accuracy
Investigate reported bugs or deficiencies, working with business analysts and data engineering to do UAT/QA on simple bug-fix & feature releases
Qualifications
6+ years of experience in Analytics Engineering, Data Engineering, Data Science, Business Intelligence, or similar field.
Expert level proficiency with SQL and data modeling. You know how to architect data models and influence engineering teams to build for scale and consistency
Proficiency in a quantitative programming language, preferably Python
Experience with BI tools such as Tableau, Looker, and know how to enable self-service analytics
Experience with CRM systems like Salesforce or Hubspot and ERP systems like Oracle or Netsuite
Understand effective software and analytics engineering practices and can use AI tools to move faster without creating brittle systems, unclear code, or unnecessary complexity.
Ability to independently structure complex, ambiguous problems from initial framing through delivery and execution with diverse teams up to the senior leadership level
Proactive engagement with the management team to identify, prioritize, develop, and execute strategies that improve our data to enable better decisionmaking
Comfortable collaborating across numerous horizontal partners (sales systems, sales enablement, sales compensation) as well as departmental/vertical stakeholders (marketing, product, finance) to build alignment and deliver results
Excellent problem-solving skills with a focus on delivering business impact through reliable systems
Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh .
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.