Data Analyst @ Peoplebank
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About Peoplebank’s Data Analyst Role
Leading multinational software company with over 150,000 customers and millions of users, Peoplebank aims to change the way people work together with customer experience at the forefront.
About The Role
The Data Analyst will oversee the management and enhancement of our client’s database systems. Starting with the Migration Data Science team, you will help enterprise customers move from on-prem data centres to the cloud, build datasets, analyse customer journeys, and create dashboards that deliver real insights to improve the cloud migration experience. You’ll collaborate closely with Data Scientists and stakeholders in a highly data-driven environment.
Key Responsibilities
- Migrate existing dashboards to a new data system
- Build robust datasets and ETL processes to streamline analysis
- Generate insights to uncover patterns and trends
- Develop and maintain dashboards in Databricks or Tableau
- Communicate findings clearly to technical and non-technical audiences
- Provide regular progress updates and manage deliverables
About You
8+ years’ experience in data analysis, BI, or analytics roles, advanced SQL skills, strong experience in Python or R, proficient in Tableau or Databricks, excellent written communication and stakeholder engagement skills, and strong organisational and project management abilities.
Why You’ll Love It
- Work 100% remotely from anywhere in Australia
- Join a global high-performing SaaS organisation
- Collaborate with world-class Data Scientists and engineers
- Work on meaningful projects with tangible impact
Key skills/competency
Data Analysis, SQL, Python, R, Tableau, Databricks, ETL, Cloud Migration, Data Visualization, Stakeholder Engagement
How to Get Hired at Peoplebank
🎯 Tips for Getting Hired
- Research Peoplebank's culture: Study their mission, values, and news online.
- Customize your resume: Highlight advanced SQL and analytics skills.
- Prepare data projects: Showcase successful ETL and dashboard projects.
- Practice communication: Be clear for technical and non-technical audiences.