Atlassian is looking to leverage data and research to inform strategic and operational issues facing their leaders, teams, and people by enhancing data infrastructure, innovating automated processes, and evaluating the success of people programs and products.
Requirements
- 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
- 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
- Experience with establishing metrics frameworks
- Ability to use Git to collaborate with others and contribute to dynamic codebases
Responsibilities
- 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
- 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
Other
- Understand the people insights needed to drive decision making at Atlassian, and design products and insights in a way that inspires action
- Strong written communication skills, verbal communication skills, and cross-functional collaboration skills
- 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
- Experience working with people data (e.g., HR data, survey data, human behavior data) in an applied setting
