Data Visualization Specialist

5 hours ago

Sydney, New South Wales, Australia 764f3f54-6f18-4eb6-b6fa-4811014c2344 Full time $80,000 - $120,000 per year

Data Visualization Specialist

Location:
Australia

Employment Type:
Full-time / Hybrid / On-site

About the Role

We are seeking a Data Visualization Specialist based in Australia to turn raw data into meaningful insights that support business decision-making. The ideal candidate enjoys transforming numbers into visual stories and developing dashboards that allow teams to track performance and make informed decisions. You will work closely with analysts, engineers and cross-functional business units to deliver high-quality visual solutions.

Key Responsibilities

  • Design and build dashboards and data visual reports using tools such as Power BI, Tableau or Looker.
  • Translate complex datasets into clear, visually engaging formats.
  • Collaborate with stakeholders across Australia to understand business needs and KPIs.
  • Present data findings through storytelling and best practice visualisation techniques.
  • Maintain data integrity and ensure consistency across reporting outputs.
  • Streamline and automate reporting processes for improved efficiency.
  • Develop prototypes and mockups for data-driven initiatives.
  • Stay updated on emerging trends in data analytics and UI/UX design.

Skills & Qualifications

Required:

  • Bachelor's degree in Data Analytics, Computer Science, Statistics, Business or related field.
  • Proven experience with visualisation platforms (Power BI, Tableau, Looker, Qlik, etc.).
  • Strong SQL skills and ability to prepare datasets for visualisation.
  • Understanding of data metrics, KPIs and dashboard structure.
  • Ability to communicate insights clearly to both technical and non-technical stakeholders.

Preferred:

  • Experience with Python or R for data manipulation.
  • Familiarity with user experience (UX/UI) design principles.
  • Knowledge of data warehousing tools (BigQuery, Snowflake, Redshift).
  • Understanding of ETL and data pipeline concepts.

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