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Role Description
We’re looking for a Marketing Data Analyst to power the data behind DX’s external research and industry reports. You’ll report into the marketing team and be responsible for running the recurring analyses that underpin our widely read, external-facing reports on developer experience, developer productivity, and the impact of AI in engineering organizations.
• Ensure our numbers are consistent, reliable, and transparent.
• Own the data pulls, cleaning, and baseline analyses on DX’s customer base and external benchmarks.
• Support lead authors and senior stakeholders in focusing on interpretation, narrative, and strategic questions.
This role is ideal for someone early in their analytics career who loves working with data, cares about getting the details right, and is excited by the idea that their work will be seen and used by leaders across the software industry.
• Run and maintain the core analyses that power our quarterly AI Impact reports and other external research.
• Produce and update industry benchmarks for developer experience and developer productivity using DX’s customer data and external sources.
• Ensure methodologies, definitions, and calculations are consistent across time.
• Clean, transform, and validate data from multiple sources to ensure accuracy and reliability.
• Document assumptions, methods, and data sources for transparency and reproducibility.
• Partner with lead authors and marketers to scope analyses that answer specific questions for each report.
• Provide first-pass cuts of the data (tables, charts, segment breakdowns) for drafts and visualizations.
• Respond to follow-up questions regarding data insights.
• Dig into the data to surface interesting patterns, anomalies, or emerging trends.
• Propose additional analyses or angles to strengthen reports or inspire new content.
Qualifications
• 4+ years of experience in an analytical role (e.g., data analyst, business analyst, marketing analyst, or similar), or equivalent experience.
• Comfortable working with data tools (spreadsheets, SQL, BI tools, or similar).
• Obsessed with accuracy and consistency.
• Able to clearly document how an analysis was done.
• Curious about the “why” behind the numbers.
• Comfortable working with non-data experts and explaining your work in plain language.
• Self-motivated, reliable, and able to manage recurring deadlines.
Requirements
• Experience working with SaaS or B2B data, especially in a product, engineering, or developer-focused context.
• Familiarity with survey data, time-series data, or benchmarking studies.
• Experience using SQL, Python, R, or similar tools for analysis.
• Ability to write about data and trends in a clear, conversational way.
• Prior experience contributing to external-facing reports, blog posts, or thought leadership content.
Compensation
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. The baseline of our range is higher than that of the typical market range, but we expect to hire most candidates near this baseline. Base pay within the range is determined by a candidate's skills, expertise, or experience.
• Zone A: $127,800 - $166,850
• Zone B: $115,200 - $150,400
• Zone C: $106,200 - $138,650
This role may also be eligible for benefits, bonuses, commissions, and equity.
Benefits
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 more.
Company Description
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.