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[Remote] Associate Data Analyst, DX Research
Note: The job is a remote job and is open to candidates in USA. Atlassian is a leading SaaS company focused on enhancing developer experience and productivity. They are seeking an Associate Data Analyst to support external research and reports, ensuring data consistency and transparency while collaborating with marketing teams to deliver actionable insights.
Responsibilities
- 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 that methodologies, definitions, and calculations are consistent across time so readers can trust trends and comparisons
- Clean, transform, and validate data from multiple sources to ensure accuracy and reliability
- Document assumptions, methods, and data sources so our analyses are transparent and reproducible
- 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) that can be used in drafts and visualizations
- Respond to follow-up questions like 'Is this real?', 'What happens if we slice it this way?', or 'How does this compare to last quarter?'
- When time allows, dig into the data to surface interesting patterns, anomalies, or emerging trends that could be valuable to our customers
- Propose additional analyses or angles that might strengthen a report or inspire new content
Skills
- 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) to clean, transform, and analyze datasets
- Obsessed with accuracy and consistency: you care about definitions, edge cases, and making sure the same question gets the same answer every time
- Able to clearly document how an analysis was done so others can understand and reproduce it
- Curious about the 'why' behind the numbers and willing to dig deeper when something looks off or interesting
- Comfortable working with stakeholders who are not data experts and explaining your work in plain language
- Self-motivated, reliable, and able to manage recurring deadlines (e.g., quarterly reporting cycles) without heavy oversight
- 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 (beyond spreadsheets)
- Ability to write about data and trends in a clear, conversational way that helps readers understand what's happening and why it matters to them
- Prior experience contributing to external-facing reports, blog posts, or thought leadership content
Benefits
- Health and wellbeing resources
- Paid volunteer days
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