Global Data Analytics Lead – Hybrid Finance Platform

Dyno Nobel Inc.

Brisbane

Hybrid

AUD 120,000 - 150,000

Full time

2 days ago
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Benefits offered by this job

Hybrid work model at Brisbane HQ
Salary packaging options
Parental leave (18 weeks) and other福利

Job summary

Dyno Nobel Limited in Brisbane is leading the implementation of a modern data platform to transform global finance data and reporting. This role is hybrid and based at the Brisbane HQ, focusing on turning multi-source data into reliable datasets for monthly reporting, forecasting and analysis.

You will collaborate with Finance and IT to design scalable data solutions, own data quality, and deliver standardized data models and Power BI reports while automating manual processes with strong

Qualifications

  • Bachelor’s degree in finance, finance systems or related field.
  • Experience transforming data from multiple systems into reporting-ready datasets.
  • Strong knowledge of accounting, financial reporting and reconciliation.

Responsibilities

  • Partner with IT to design and implement the Group’s modern data platform.
  • Translate finance requirements into scalable data and reporting solutions.
  • Own the accuracy, completeness and integrity of Finance data.
  • Develop standardised datasets, data models and Power BI reports.
  • Automate manual reporting processes while maintaining financial controls.
  • Coordinate solution design, testing, implementation and improvement.

Skills

SQL
Databricks
Snowflake
Power BI
Finance reporting
Data transformation
Stakeholder management

Education

Bachelor’s degree in finance, finance systems or related field

Tools

Databricks
Snowflake
Power BI

Job description

Dyno Nobel Limited in Brisbane is leading the implementation of a modern data platform to transform global finance data and reporting. This role is hybrid and based at the Brisbane HQ, focusing on turning multi-source data into reliable datasets for monthly reporting, forecasting and analysis.

You will collaborate with Finance and IT to design scalable data solutions, own data quality, and deliver standardized data models and Power BI reports while automating manual processes with strong

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