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data analyst

perth, western australia
posted 19 june 2026
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this job offer closes 20 july 2026

job details

this job offer closes 20 july 2026

summary

  • perth, western australia
  • Randstad Digital
  • au$ 800 - au$ 900 per day
  • contract

posted 19 june 2026

reference number
90M0710639_7063581145833154198

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randstad professional

randstad professional

we bring diverse and pre qualified professional talent and businesses together to connect the right people with the right roles. by building specialized teams, we help individuals flourish in their careers and businesses succeed.

job details

About the Role

We are partnering with a leading asset-intensive organisation to find a sharp, technically sound Data Analyst to join their mature Maintenance Centre of Excellence.

Reporting directly to a highly respected leader in the reliability engineering and data space, you will join a high-performing, diverse national team of 20+ data professionals. This is an environment that truly values scientific, deep-dive analysis, and actively champions diversity and inclusive engineering practices.

Your mission will be to turn massive, complex operational and maintenance data into clear, predictive insights that keep heavy machinery running safely and efficiently.

What You’ll Do

  • Mine & Model: Write clean, efficient Python scripts and SQL queries to wrangle and analyse large-scale, complex industrial data sets.

  • Warehouse Strategy: Work closely within an enterprise Snowflake and AWS data environment to optimise data pipelines for maintenance analytics.

  • Visualize: Design and build robust, intuitive Power BI dashboards that help reliability engineers and operational managers make split-second, high-impact decisions.

  • Collaborate: Partner with an advanced team of data scientists and engineering peers across QLD and national sites to drive continuous improvement in asset performance.

What We Are Looking For

  • Heavy Industry DNA: You have a solid background working in mining, utilities, oil & gas, manufacturing, or heavy logistics. You understand what a maintenance schedule looks like and how equipment downtime impacts the bottom line.

  • The Core Stack:

    • Snowflake: Proven hands-on experience querying and modelling in a Snowflake environment.

    • Power BI: Ability to create advanced DAX calculations and data models that tell a compelling story.

    • Python: Strong scripting skills for data manipulation and analysis (Pandas, NumPy).

    • AWS: Familiarity with cloud data architecture and storage.

  • Analytical Mindset: You treat data analysis like a science—looking for root causes, patterns, and anomalies, rather than just building basic surface-level reports.

Why You’ll Love This Contract

  • Mature Data Culture: No legacy spreadsheets here—you will be working with a cutting-edge cloud stack alongside an incredibly supportive, modern management team.

  • Diverse & Inclusive Environment: Join a workplace that actively prioritizes diversity, featuring strong leadership and an inclusive, collaborative team dynamic.

  • High-Impact Work: Your data directly influences massive physical operations and safety outcomes.

At Randstad Digital, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.

...

About the Role

We are partnering with a leading asset-intensive organisation to find a sharp, technically sound Data Analyst to join their mature Maintenance Centre of Excellence.

Reporting directly to a highly respected leader in the reliability engineering and data space, you will join a high-performing, diverse national team of 20+ data professionals. This is an environment that truly values scientific, deep-dive analysis, and actively champions diversity and inclusive engineering practices.

Your mission will be to turn massive, complex operational and maintenance data into clear, predictive insights that keep heavy machinery running safely and efficiently.

What You’ll Do

  • Mine & Model: Write clean, efficient Python scripts and SQL queries to wrangle and analyse large-scale, complex industrial data sets.

  • Warehouse Strategy: Work closely within an enterprise Snowflake and AWS data environment to optimise data pipelines for maintenance analytics.

  • Visualize: Design and build robust, intuitive Power BI dashboards that help reliability engineers and operational managers make split-second, high-impact decisions.

  • Collaborate: Partner with an advanced team of data scientists and engineering peers across QLD and national sites to drive continuous improvement in asset performance.

What We Are Looking For

  • Heavy Industry DNA: You have a solid background working in mining, utilities, oil & gas, manufacturing, or heavy logistics. You understand what a maintenance schedule looks like and how equipment downtime impacts the bottom line.

  • The Core Stack:

    • Snowflake: Proven hands-on experience querying and modelling in a Snowflake environment.

    • Power BI: Ability to create advanced DAX calculations and data models that tell a compelling story.

    • Python: Strong scripting skills for data manipulation and analysis (Pandas, NumPy).

    • AWS: Familiarity with cloud data architecture and storage.

  • Analytical Mindset: You treat data analysis like a science—looking for root causes, patterns, and anomalies, rather than just building basic surface-level reports.

Why You’ll Love This Contract

  • Mature Data Culture: No legacy spreadsheets here—you will be working with a cutting-edge cloud stack alongside an incredibly supportive, modern management team.

  • Diverse & Inclusive Environment: Join a workplace that actively prioritizes diversity, featuring strong leadership and an inclusive, collaborative team dynamic.

  • High-Impact Work: Your data directly influences massive physical operations and safety outcomes.

At Randstad Digital, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.

  • qualification

    • na

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