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Associate Data Analyst, DX Research

Job in Magna, Salt Lake County, Utah, 84044, USA
Listing for: Atlassian
Full Time position
Listed on 2026-02-17
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

About DX

DX is one of the fastest-growing SaaS companies in the country, helping engineering leaders build high‑performing, productive teams. Our platform delivers actionable insights into developer experience and productivity – empowering companies like Netflix, Uber, Dell, Pfizer, and Vanguard to operate at their best. DX has grown from a bootstrapped startup into a category‑defining company with a customer base that spans some of the most sophisticated engineering organizations in the world.

We recently closed on our acquisition by Atlassian, which means more resources behind our mission, faster product innovation, and an even bigger impact for the teams who rely on us.

How We Work At DX

We want to be very clear about what we care about and how we judge performance. For us, it all boils down to individual mastery, becoming the best at your craft. Those who exhibit this quality will thrive here and be appropriately rewarded. We can’t control outcomes due to competitors, the economy, decision‑makers, etc., but what we can control is doing our jobs at the highest level possible.

Responsibilities

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.

Your primary job is to make sure our numbers are consistent, reliable, and transparent. You’ll own the data pulls, cleaning, and baseline analyses on DX’s customer base and external benchmarks, so lead authors and senior stakeholders can focus 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.

What you’ll work on Recurring analyses and benchmarks
  • 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.
Data quality, transparency, and documentation
  • 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.
Support for lead authors and marketing
  • 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?”
Exploration and trend‑spotting
  • 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.
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) 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…
Position Requirements
10+ Years work experience
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