SR. Power BI Developer

Full-time | Sydney/ Melbourne/Adelaide/ Brisbane Role Overview
The Data & Analytics Reporting Lead is responsible for leading the reporting and analytics team to deliver high-quality, scalable, and standards-compliant data solutions. This role combines technical leadership, stakeholder engagement, delivery management, and governance oversight across Power BI, Power Automate, and Data Engineering solutions.The successful candidate will ensure that all analytics deliverables meet business requirements, adhere to best practices, and are delivered on time within sprint cycles and BAU commitments.
Key Responsibilities 1. Team Leadership & Delivery Management

Manage day-to-day activities of the reporting and analytics team.

Oversee team deliverables, ensuring timely and high-quality completion.

Monitor and review team members' workload, time tracking, and task updates.

Ensure all BAU activities are completed within agreed SLAs.

Conduct sprint planning sessions, daily stand-ups, and sprint retrospectives.

Ensure accurate and consistent updates in sprint tracking tools.

Prepare and present sprint summary reports and presentation packs at sprint closure.

2. Stakeholder Engagement & Requirements Management

Lead stakeholder requirement gathering workshops and sessions.

Translate business requirements into clear technical specifications.

Ensure deliverables align with agreed business requirements.

Act as the primary escalation point for reporting-related issues.

3. Quality Assurance & Governance

Review all Power BI solutions to ensure:

Data models follow best practices (star schema, relationships, performance optimization).

DAX measures are efficient and optimized.

Power Query transformations are structured and maintainable.

Reports adhere to enterprise design templates and standards.

Review Power Automate flows to ensure:

Robust error handling.

Scalability and maintainability.

Compliance with governance and security standards.

Ensure all solutions are production-ready, robust, and well-documented.

4. Data Engineering Oversight

Review data pipelines built by Data Engineers (e.g., ingestion, transformation, orchestration).

Conduct code reviews to ensure adherence to best practices and coding standards.

Validate testing coverage and ensure appropriate QA processes are followed.

Optimize and improve pipeline performance where required.

Ensure solutions are scalable, maintainable, and aligned with architecture standards.

5. Technical Leadership & Hands-on Support

Provide technical guidance to the team on:

Power BI data modelling

Advanced DAX

Power Query

Data ingestion and transformation (Databricks)

Power Automate

Support development activities during peak workload periods or where capacity allows.

Identify opportunities for performance optimization and automation improvements.

Key Skills & Experience Technical Skills

Strong expertise in Power BI (Data Modeling, DAX, Power Query) and Databricks

Experience reviewing and optimizing complex Power BI data models.

Experience with Power Automate workflows and governance.

Strong understanding of data engineering concepts (ETL/ELT, pipelines, orchestration).

Experience reviewing code (SQL, Python, or relevant data engineering languages).

Knowledge of data architecture best practices and performance optimization techniques.

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
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