Senior Data Analyst

Provide data-driven insights for marketing strategy.

Measure impact of community programs on adoption.

Provide data-driven insights for marketing strategy.

Measure impact of community programs on adoption.

Define a research roadmap for strategic questions.

Lead quantitative research on user behavior.

Recruit a remote People Team Data Analyst.

Focus on Talent Acquisition.

Optimize marketplace performance across ad products.

Develop and execute yield strategies for revenue growth.

Manage WHOOP Live broadcast experiences.

Develop broadcast integrations and partnerships.

Lead HR systems strategy and operations.

Ensure compliance and security of HR systems.

Design analytical frameworks for auctions.

Run experiments to evaluate auction changes.

Support budgeting and forecasting for revenue.

Analyze results against targets to identify risks and opportunities.

Design high-quality print and digital materials.

Translate complex data into clear visuals.

Provide data-driven insights for marketing strategy.

Measure impact of community programs on adoption.

Construct statistical or optimization models for decision-making.

Identify growth opportunities through data analysis.

Deliver analytics solutions at scale.

Manage data access and presentation.

Serve as a strategic finance partner.

Own growth and monetization models.

Leverage complex data sets for insights.

Apply economic frameworks in various contexts.

Optimize Zendesk and support systems.

Manage AI tools for efficiency.

Atlassian is hiring a Data Engineer Intern for Summer 2026.

The position is remote and available to candidates in Australia.

Develop and implement a VoC program.

Analyze consumer research to inform strategies.

Own insights for a major business unit.

Support data-driven decisions through analysis.

Monitor media and social channels for real-time insights.

Measure share of voice and diagnose drivers.

Build and maintain end-to-end data solutions.

Collaborate with global teams.

Develop analytics capabilities across business units.

Improve development patterns and foundational datasets.

Define and execute data science strategy.

Lead AI/ML initiatives in healthcare/insurance.

Design and maintain marketing analytics data models.

Collaborate with cross-functional teams to define data needs.

Lead the centralized analytics function.

Develop and execute analytics vision and strategy.

Lead the company's analytics function.

Oversee data use cases and analytics platforms.

Define a research roadmap for strategic questions.

Lead quantitative research on user behavior.

Lead a team of product analysts.

Define and drive the analytical vision.

Lead and develop multiple data sub-teams.

Manage Data Lakehouse architecture and tooling decisions.

Design systems for product telemetry and analytics.

Ensure data reliability and scalability.

Lead the analytics engineering team to scale the data warehouse.

Mentor and provide feedback to junior engineers.

Design and maintain scalable data models.

Apply software engineering practices to analytics code.

Own end-to-end data architecture.

Build and manage batch data pipelines.

Lead and develop data teams.

Own and manage Data Lakehouse architecture.

Design and maintain data pipelines.

Optimize SQL queries and data models.

Provide data-driven insights for marketing strategy.

Measure impact of community and advocacy programs.

Lead and develop data teams.

Manage Data Lakehouse architecture.

Provide data-driven insights for marketing strategy.

Measure impact of community and advocacy programs.

Partner with teams for data-driven insights.

Develop scoring models for lead prioritization.

Collaborate with healthcare clients.

Translate data challenges into insights.

Design and maintain data models.

Collaborate with teams for metric translation.

Build a self-service analytics system for the GTM team.

Integrate CRM, product usage, and marketing signals into a reporting model.

Provide data-driven insights for marketing strategies.

Measure impact of community and advocacy programs.

Lead and develop data engineering and analytics teams.

Manage the Data Lakehouse architecture and tooling decisions.

Transform questions into analytics recommendations.

Build models and conduct analyses for roadmap items.

Design and maintain scalable data pipelines.

Ensure data reliability, accuracy, and timeliness.

Design and maintain scalable data pipelines.

Write clean and well-documented code.

Provide data-driven insights for marketing strategy.

Measure impact of community and evangelism programs.

Build and lead the Data & ML team.

Own and manage the revenue data layer.

Lead and develop data teams.

Manage data architecture and tooling decisions.