BI Developer

We have an urgent need for a Data & Analytics person in Brisbane to work 3 days in the office for 6-12 months on a project. Here is what we are looking for.

Job Brief: Data Engineer / BI Developer (Contractor)

We are seeking a skilled mid-career Data Engineer / Business Intelligence Developer to support our reporting and data integration needs primarily using Cognos and Tableau. The immediate focus will be on maintaining and enhancing legacy ETL processes and report development within our established BI environment, with a focus on finance data, including Oracle E-Business Suite and related financial auxiliary systems.

Key Responsibilities:

Develop, maintain, and optimize Cognos reports and dashboards to deliver actionable insights within the finance domain.

Build and support ETL workflows using legacy data integration technologies for financial systems.

Collaborate with finance business users to understand reporting requirements and translate them into technical solutions.

Assist with data validation, troubleshooting, and performance tuning of finance-related BI assets.

Support preparation for future platform migration by gaining familiarity with modern data engineering concepts and tools.

Required Skills & Experience:

Strong experience in Cognos report writing and development, including dashboard and administration.

Hands-on experience with Tableau for visualization and reporting.

Proven ability to create and maintain ETL pipelines using legacy technologies.

Solid SQL skills and familiarity with relational databases, preferably Oracle.

Experience working with finance data, including Oracle E-Business Suite and related auxiliary finance systems.

Ability to work effectively in a hybrid or collaborative environment.

Ability to obtain and maintain a baseline AGSVA security clearance (Australian Government Security Vetting Agency).

Desirable:

Exposure to modern cloud-based data warehousing, data cataloging, and serverless querying technologies (such as cloud data lake querying services, managed data warehouse solutions, and cloud-native ETL orchestration).

Familiarity with end-to-end data pipeline development, data ingestion, transformation, and curation using cloud services.

Experience with scripting languages (Python, etc.) for automation and data processing.