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Principal Sales Infrastructure Analyst, Analytics Engineering

Atlassian

New
Senior 129,978 - 204,450 USD/year 🇬🇧 English
SQL Python Tableau Looker Salesforce HubSpot Oracle NetSuite ETL/ELT Data warehousing Data lake

Job description

About the role

Atlassian is looking for a seasoned sales data analyst or analytics engineer to drive data alignment between enterprise go-to-market and finance. You will design clean, robust data pipelines and infrastructure to monitor data drift between systems such as Salesforce, Oracle Fusion, Gainsight and Databricks, and help evolve the data stack so that AI agents can interact safely.

Key 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 scales analytics and data access across the company.
  • Build and maintain canonical datasets with high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts.
  • Partner with finance, data engineering and other cross-functional teams to track and flag data inconsistencies that affect accurate closing of books.
  • Run sizing analyses and impact assessments for infrastructure changes, and investigate source data quality.
  • Own the full lifecycle of core system data transformations and develop SME-level knowledge for them.
  • Use available tools to remove manual processes and improve source data accuracy, and investigate bugs with business analysts and data engineering.

Required profile

  • 6+ years of experience in analytics engineering, data engineering, data science, business intelligence or a similar field.
  • Senior leadership-level independence in structuring complex, ambiguous problems and collaborating across many partners (sales systems, sales enablement, sales compensation, marketing, product, finance).
  • Proactive engagement with management to improve data and decision-making.

Required skills

  • Expert SQL and data modeling; ability to architect data models and influence engineering teams.
  • Quantitative programming language, preferably Python.
  • BI tools such as Tableau and Looker, and CRM systems like Salesforce or HubSpot and ERP systems like Oracle or NetSuite.
  • Understanding of software and analytics engineering practices, including safe use of AI tools.

What we offer

  • Base pay for new hires in the United States: Zone A $156,600-$204,450, Zone B $140,940-$184,005, Zone C $129,978-$169,694.
  • Possible eligibility for benefits, bonuses, commissions and equity.
  • Health and wellbeing resources and paid volunteer days.

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Le salaire proposé pour ce poste est de 130-204k USD par an. Le détail figure dans l'annonce.
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Published 15 hours ago

Expires 1 month from now

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