Sustainability Data Analyst: Power BI & ESG Reporting

OceanaGold Corporation; Brisbane; Hybrid; AUD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Wellness room

Employee Assistance Program (EAP)

Discounts on retail and services

Office surrounded by amenities

Job summary

OceanaGold is seeking a Sustainability Analyst to join our corporate Sustainability team. You will coordinate ESG data across global operations, validate data quality, and support reporting and assurance processes.

You will build Power BI reports and help strengthen data governance and reporting controls across the sustainability data lifecycle. This role requires a degree in a relevant field and 2–3 years’ experience in sustainability/ESG, with strong Excel and data analytics skills.

Qualifications

• Degree in sustainability, environmental science, accounting, finance, technology, engineering or data analytics.
• 2–3 years’ experience in sustainability/ESG/finance/audit/data analytics.
• Experience with data collection, governance and controls; understanding of assurance/audit.

Responsibilities

• Coordinate sustainability and ESG data across global operations and corporate functions.
• Validate and analyse data, investigate variances and resolve data quality issues.
• Maintain methodologies and definitions for sustainability metrics.

Skills

Power BI

Excel

Tableau

SQL

Data analytics

Problem solving

Education

Degree in sustainability/environmental science/accounting/finance/tech/data analytics

Tools

Workiva ESG

EnviroSys

Snowflake

Pronto

Job description

OceanaGold is seeking a Sustainability Analyst to join our corporate Sustainability team. You will coordinate ESG data across global operations, validate data quality, and support reporting and assurance processes.

You will build Power BI reports and help strengthen data governance and reporting controls across the sustainability data lifecycle. This role requires a degree in a relevant field and 2–3 years’ experience in sustainability/ESG, with strong Excel and data analytics skills.