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Associate Data Analyst, DX Research

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Atlassian

1mo ago

  • Job
    Full-time
    Mid Level
  • Data
    Marketing
  • Austin
    Remote

AI generated summary

  • You need 4+ years in an analytical role, proficiency in SQL and BI tools, a keen eye for accuracy, strong communication skills, and experience with SaaS or B2B data.
  • You will analyze data for reports, maintain benchmarks, ensure consistent methodologies, clean multiple data sources, document processes, summarize findings, and explore trends for insights.

Requirements

  • 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

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

FAQs

What is the primary focus of the Associate Data Analyst role at DX Research?

The primary focus of the Associate Data Analyst role is to power the data behind DX's external research and industry reports, ensuring that the data is consistent, reliable, and transparent for analyses on developer experience, productivity, and the impact of AI.

What type of experience is required for this position?

A minimum of 4+ years of experience in an analytical role, such as a data analyst, business analyst, or marketing analyst, or equivalent experience is required for this position.

What tools and technologies should a candidate be familiar with?

Candidates should be comfortable working with data tools such as spreadsheets, SQL, BI tools, and should ideally have experience using SQL, Python, R, or similar tools for analysis beyond spreadsheets.

Is experience in the SaaS or B2B sector preferred?

Yes, experience working with SaaS or B2B data, especially in a product, engineering, or developer-focused context, is considered a plus for this role.

How will success in the Associate Data Analyst role be measured?

Success will be measured by the accuracy and consistency of analyses, the ability to document methodologies clearly, and the effectiveness of communication with stakeholders, ensuring that insights help drive performance in external reports.

What opportunities for growth are available in this role?

There are opportunities to grow into deeper analysis, storytelling with data, or more senior analytics roles as skills develop over time.

What kind of support will the Associate Data Analyst provide to lead authors and marketing?

The Associate Data Analyst will partner with lead authors and marketers to scope analyses, provide first-pass cuts of data for reports, and respond to follow-up questions to enhance the quality and depth of the final outputs.

What types of projects will the Associate Data Analyst work on?

The Analyst will work on recurring analyses and benchmarks, data quality and documentation, support for authors, and exploration of interesting data patterns or trends that could be valuable to customers.

Are there any specific characteristics or traits that would make a candidate a good fit for this role?

Candidates who are detail-oriented, curious about data, self-motivated, reliable in managing deadlines, and capable of explaining complex data concepts in plain language would be a good fit for this role.

What kind of reports will the analyses contribute to?

The analyses will contribute to widely read, external-facing reports on developer experience, developer productivity, and the impact of AI in engineering organizations.

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Atlassian

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