Senior Data Analyst — Power BI & Predictive Analytics Lead

Cleanaway Waste Management; City of Melbourne; On-site; AUD 110,000 - 150,000; Full time

Benefits offered by this job

Annual employee share plan

Novated leasing

Paid parental leave

EAP access

Discounts on private health insurance

Job summary

Cleanaway Waste Management in Melbourne, VIC, is seeking a Senior Data Analyst to transform complex data into actionable insights. You will lead the design, development and delivery of advanced reporting, dashboards, predictive analytics and data models to support decision-making.

This role partners with stakeholders across the business to improve data processes, reporting efficiency and analytical capability, using Power BI, SQL and modern data techniques.

Qualifications

• Proven experience in data analysis and data preparation.
• Strong SQL skills and handling large datasets.
• Experience developing reporting and visualisation solutions, especially Power BI.
• Experience cleansing, transforming and validating data from multiple sources.
• Ability to translate requirements into practical reporting solutions.

Responsibilities

• Analyse complex datasets to identify trends, risks and opportunities.
• Gather, cleanse, transform and wrangle data from multiple sources.
• Develop and maintain reports, dashboards and visualisations (Power BI).
• Support data quality, governance, reconciliation and data integrity.
• Collaborate with stakeholders to define analytical requirements and communicate insights.

Skills

SQL

Data wrangling

Analytical thinking

Stakeholder engagement

Problem solving

Data visualization

Tools

Power BI

Power Query M

DAX

ERD concepts

Dimensional modelling

Job description

Cleanaway Waste Management in Melbourne, VIC, is seeking a Senior Data Analyst to transform complex data into actionable insights. You will lead the design, development and delivery of advanced reporting, dashboards, predictive analytics and data models to support decision-making.

This role partners with stakeholders across the business to improve data processes, reporting efficiency and analytical capability, using Power BI, SQL and modern data techniques.