Atlassian is looking to solve the business and technical problem of supporting a strategic, mission-critical cloud migration initiative by leveraging strong data acumen.
Requirements
- Must have (5) five years of experience in SQL programming and working with relational databases (e.g., Redshift, Databricks, PostgreSQL) for large-scale data querying, transformation, and analysis and in designing and implementing end-to-end ETL pipelines using tools such as Airflow, or custom SQL-based workflows, including data ingestion, transformation, and validation
- Must have (5) five years of experience in data visualization and reporting using tools like Tableau, or Power BI, including building interactive dashboards and defining key business KPIs to monitor performance and trends and in data analytics and statistical analysis, including cohort analysis, A/B testing, hypothesis testing, and regression modeling to support business decisions
- Must have (5) five years of experience working with cloud-based data platforms utilizing knowledge of data modeling and data warehousing concepts, including schemas and dimensional modeling to support scalable analytical environments
- Must have (5) five years experience working with large-scale structured and semi-structured datasets, applying data cleaning, transformation, and integration techniques and implementing data quality checks, monitoring data consistency, and ensuring high-integrity analytics through validations
- Must have five (5) years of experience collaborating cross-functionally with product, engineering, and business stakeholders to gather requirements, define success metrics and deliver actionable insights and with programming languages used for analytics such as Python or SQL, including exploratory data analysis, statistical modeling, and data visualization.
- Must pass technical interview.
Responsibilities
- Leverage strong data acumen to support a strategic, mission-critical cloud migration initiative.
- Collect and integrate data from multiple sources, including relational databases, spreadsheets, APIs, and third-party platforms.
- Perform exploratory data analysis on large-scale datasets using advanced SQL to extract, filter, and retrieve relevant information.
- Analyze, manipulate, and clean data using Excel or Python to identify discrepancies, resolve data quality issues, and improve data reliability.
- Investigatedata anomalies and missing results, identify and resolve errors in data processing and visualization, and document implemented technical solutions.
- Drive analytical efforts by identifying business gaps, drafting clear problem statements, testing hypotheses, conducting root cause analyses, and developing scalable analytical solutions that support transformative changes across cross-functional initiatives.
- Apply statistical methods such as hypothesis testing and regression to recognize patterns and predict business outcomes.
Other
- Must have a Master’s degree in Business Analytics or Analytics Engineering.
- Atlassians can choose where they work – whether in an office, from home, or a combination of the two.
- 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.
- Deliver concise written and verbal updates summarizing analytical outcomes, methodologies, and business implications.
