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Data Analyst

1 month ago

Parramatta Park, Queensland, Australia NSW Department of Customer Service Full time

Data Analyst

  • Full-Time (35hpw) temporary opportunity until 30 June 2026, with the potential for ongoing employment
  • Salary range starting from $110,266 pa + super
  • Parramatta location with hybrid working

About the role:

  • We are seeking a Data Analyst with practical experience in a commercial or government environment to join our Compliance Assurance team.
  • In this role, you will work with large and complex datasets, extracting insights that drive decision-making and enhance customer experiences.

Key Responsibilities:

  • Analysing large, disparate datasets to uncover trends and business opportunities
  • Developing reports, dashboards, and data visualizations using Tableau or Power BI
  • Using SQL and PySpark (essential), along with R, Python, KNIME, or RedPoint DM to process and analyse data
  • Supporting continuous improvement initiatives through data-driven insights
  • Fostering effective working relationships with internal and external stakeholders to ensure high-quality data-driven solutions

Requirements:

  • Practical experience in a commercial or government environment, working with large datasets
  • Advanced conceptual, analytical, and problem-solving skills, with the ability to interpret complex data and uncover insights
  • Proficiency in SQL and PySpark (essential)
  • Experience in R, Python, KNIME, RedPoint DM, Tableau, or Power BI is also desirable
  • Excellent communication skills, with the ability to translate complex data into clear insights and collaborate effectively with stakeholders
  • A degree in analytics, data science, or a related field - or equivalent hands-on experience

What we need from you:

  1. Your application should include an up-to-date CV (no more than 5 pages), a brief one-page cover letter outlining how your skills and experience are aligned to the role.
  2. You also need to respond to the following two targeted questions

TARGETED QUESTIONS:

  1. Describe a project or task where you used PySpark in a professional setting. What problem were you solving, what approach did you take, and what was the outcome?
  2. Give an example of a complex data-related problem you had to investigate. What was your role, what challenges did you face, and how did you overcome them?

Why work for us?:

  • Meaningful Work: Help drive positive outcomes for businesses and individuals across NSW
  • Work-Life Balance: Hybrid work arrangements, compressed hours, and generous leave options
  • Career Growth: A role that's more than just a job - build a career with us
  • Forward-Thinking Team: Be part of a collaborative environment that embraces new ideas, technologies, and continuous improvement.