Atlassian provides tools to help every team unleash their full potential.
The Role
Designs and maintains scalable data infrastructure, ETL/ELT pipelines, canonical datasets, and AI context layers. The role improves data quality and alignment across sales and finance systems, investigates data inconsistencies, leads requirements through UAT and implementation, supports analytics self-service, and partners with cross-functional teams to deliver process improvements and reliable business data.
Summary Generated by Built In
Analytics & Data Science | Remote, Americas | Remote, Remote | Austin, United States | Salt Lake City, United States
Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
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.
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit
Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
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.
- 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 cycle 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
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit
Skills Required
- 6+ years of experience in analytics engineering, data engineering, data science, business intelligence, or a similar field
- Expert-level proficiency with SQL and data modeling
- Ability 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 and Looker
- Knowledge of self-service analytics enablement
- Experience with CRM systems such as Salesforce or HubSpot
- Experience with ERP systems such as Oracle or NetSuite
- Understanding of effective software and analytics engineering practices
- Ability to use AI tools without creating brittle systems, unclear code, or unnecessary complexity
- Ability to independently structure complex, ambiguous problems through delivery and execution with diverse teams
- Ability to collaborate with senior leadership and cross-functional stakeholders
- Proactive engagement with management to identify, prioritize, develop, and execute data improvement strategies
- Excellent problem-solving skills focused on business impact and reliable systems
What the Team is Saying
Tiffany
Engineering Senior Associate, United States
Gautam
Software Engineer, United States
Tygrr
Product Manager, United States
Ashleigh
Frontend Engineer, United States
Jensen
Senior Frontend Software Engineer, United States
Javier
Senior Solutions Engineer, United States
Atlassian Compensation & Benefits Highlights
-
Parental & Family Support — Parental leave spans 26 weeks for birthing parents and 20 weeks for non-birthing parents, alongside inclusive family-formation benefits such as fertility treatment, adoption, and surrogacy. Additional supports include menopause resources and caregiving-related programs.
-
Retirement Support — Retirement programs include a U.S. 401(k) company match with immediate vesting and multiple contribution options. These are complemented by other financial wellbeing tools like HSAs/FSAs.
-
Healthcare Strength — Medical coverage is paired with mental-health resources, disability and life insurance, and options such as HSA/FSA. Descriptions also point to solid plan choices with access to counseling, coaching, and 24/7 support.
Atlassian Insights
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Atlassian creates teamwork solutions for high-performing teams. Our portfolio of collaboration and work management software products includes Jira, Confluence, Trello, Loom and Rovo. More than 300,000 businesses worldwide rely on Atlassian’s technology, including 80 percent of Fortune 500 companies. Our solutions support various business teams and they help organizations plan, track, and deliver their biggest ideas together.
Why Work With Us
At Atlassian, we believe we can accomplish so much more together than apart — which is why everything from our tooling — to our distributed workforce — to how our teams are structured is rooted in collaboration. Come join us and help unleash the potential of every team.
Gallery
.png)
.png)
Atlassian Teams
Atlassian Offices
Remote Workspace
Employees work remotely.
Atlassians have flexibility in where they work to support their family, personal goals, and other priorities. Our approach to distributed work allows us to tap into talent beyond our office locations, and to reimagine how work gets done.
Typical time on-site:
None
San Francisco, CA
Australia
Japan
Canada
Netherlands
Amsterdam, NL
Austin, TX
Austin, TX
Bellevue, WA
India
Boston, Massachusetts
Boston, MA
Chicago, IL
Poland
Mountain View, CA
New York, NY
Australia
Learn more
