Data Analyst
@ Peoplebank

New South Wales, Australia
A$120,000
On Site
Contractor
Posted 20 days ago

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Job Details

About The Role

The Data Analyst will oversee the management and enhancement of our client’s database systems. You’ll begin with the Migration Data Science team, helping enterprise customers move from on-prem data centres to the cloud. You’ll build datasets, analyse customer journeys, and create dashboards that deliver real insights and help improve the cloud migration experience. You’ll work closely with Data Scientists and stakeholders across the business in a highly collaborative, 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 effectively

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; 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 at the forefront of data innovation. Collaborate with world-class Data Scientists and engineers. Work on meaningful projects that make a tangible impact.

Application Information

Great chance to join a market leader! For more info contact Nic on nic.gulliver@peoplebank.com.au. Please click ‘apply now’ and quote #268473.

Key skills/competency

  • Data Analysis
  • SQL
  • Python
  • R
  • Tableau
  • Databricks
  • ETL
  • Dashboarding
  • Migration
  • Cloud
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How to Get Hired at Peoplebank

🎯 Tips for Getting Hired

  • Research Peoplebank's culture: Study their mission, values, and employee reviews.
  • Customize your resume: Highlight analytics and ETL project experience.
  • Showcase technical skills: Emphasize SQL, Python, and dashboard expertise.
  • Prepare for interviews: Practice explaining complex data projects clearly.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query optimization.
Practice Python and R scripting tasks.
Study ETL process frameworks.
Familiarize with Tableau/Databricks features.

Behavioral Questions

Describe a challenging data project.
Explain stakeholder communication methods.
Discuss collaboration in cross-functional teams.
Detail effective project management experience.

Frequently Asked Questions