Data & Analytics Reporting Lead - Contract - Sydney

Overview

Urgent requirement of Data & Analytics Reporting Lead - Contract - Sydney

Key Responsibilities

1. 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. 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. 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. 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. 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

Duration: 06 Months and possible extension

Eligibility: Australian/NZ Citizens/PR Holders only

Contact: Email:

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