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Atlassian

Data Scientist - People Analytics

Posted 3 Hours Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in San Francisco, CA
128K-200K Annually
Mid level
In-Office or Remote
Hiring Remotely in San Francisco, CA
128K-200K Annually
Mid level
The Data Scientist will analyze people data, design insights, and collaborate with various stakeholders to influence business decisions and improve programs at Atlassian.
The summary above was generated by AI
Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
Your future team
The People Insights team is a cross-disciplinary group of analysts, data scientists, behavioral scientists, researchers and business partners, who use data and research to inform strategic and operational issues facing our leaders, teams, and people.
In this role, you will:
  • Understand the people insights needed to drive decision making at Atlassian, and design products and insights in a way that inspires action
  • Scale actionable insights from people data by helping to enhance the data infrastructure, and innovating automated processes, reporting, and/or products
  • Evaluate the success of people programs and products by choosing appropriate analytical approaches, conducting rigorous analyses, and supporting measurement frameworks across key metrics and trends
  • Collaborate with business stakeholders, other data scientists, business partners, behavioral scientists, data engineers, and product and program managers
  • Influence business decisions, roadmaps, and execution through insights and recommendations

Minimum Qualifications:
  • Bachelor's degree or equivalent in a STEM field (e.g. statistics, mathematics, physics, econometrics, or computer science)
  • 2+ Years of Experience in Data Science or related fields
  • Proficiency in SQL or another data manipulation programming language (e.g. Python, R)
  • Familiarity with at least one visualization tool (e.g., Tableau, Power BI, Looker, Streamlit, Databricks, Hex)
  • Knowledge of statistics concepts and modeling, and how to apply them to practical questions
  • Strong written communication skills, verbal communication skills, and cross-functional collaboration skills
  • Experience with applying analytics skills to projects, which have had impact on business strategy and performance
  • Proven ability to translate data into compelling and easy-to-understand insights, stories, and narratives that resonate with technical and non-technical audiences

Desirable Qualifications:
  • 4+ Years of Experience in Data Science or related fields OR 2+ Years of experience in Data Science along with a post-graduate degree or equivalent in a related field
  • Experience with establishing metrics frameworks
  • Experience with data quality assessment, and the development of data infrastructure and downstream data solutions
  • Experience with work automation or AI implementation, report generation, and basic API interaction to solve business problems
  • Ability to use Git to collaborate with others and contribute to dynamic codebases
  • Experience working with people data (e.g., HR data, survey data, human behavior data) in an applied setting

Compensation
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience. In the United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $153,000 - $199,750
Zone B: $137,700 - $179,775
Zone C: $127,800 - $166,850
This role may also be eligible for benefits, bonuses, commissions, and equity.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
Benefits & Perks
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 so much more. To learn more, visit go.atlassian.com/perksandbenefits .
About Atlassian
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. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh .

Top Skills

Databricks
Hex
Looker
Power BI
Python
R
SQL
Streamlit
Tableau

Atlassian Boston, Massachusetts, USA Office

55 Causeway St, Boston, Massachusetts , United States, 02114

Atlassian Boston, Massachusetts, USA Office

Atlassian believes the future of work is distributed and offers our people the flexibility to help them do what’s important to them. And with few exceptions, we hire people anywhere we have a legal entity as long as they have eligible work rights and sufficient team time zone overlap.

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