Data Analyst (Databricks & Power BI

Our client is seeking experienced Data Analysts with Databricks exposure to support a high-impact data and analytics initiative. The successful candidates will work alongside the client's existing engineering team and play a key role in delivering actionable business insights through dashboard development, analytics, and cloud-based data solutions.

The role requires individuals who can comfortably operate in both technical and business environments, translating complex data into meaningful insights for business stakeholders, including executive leadership.

• Design, develop, and maintain interactive dashboards and reports using Power BI
  .
• Analyse business and operational data to identify trends, patterns, and opportunities for improvement.
• Work with cloud-based data platforms, particularly Databricks
  , to access, transform, and analyse data.
• Collaborate with the client's Data Engineering team to support data integration and pipeline initiatives.
• Support data governance, quality, security, and compliance requirements.
• Assist in implementing analytics best practices, standards, and reporting frameworks across business divisions.
• Provide meaningful insights and recommendations to support strategic decision-making.
• Engage with senior stakeholders and executives to communicate findings and project progress.
• Contribute to GenAI and advanced analytics initiatives where applicable.
• Ensure successful delivery of project outcomes within agreed timelines and quality standards.

• Proven experience as a Data Analyst
  .
• Strong experience with Power BI dashboard and report development.
• Exposure to Databricks and cloud-based data environments.
• Strong SQL skills.
• Experience working with data models, datasets, and reporting frameworks.
• Understanding of ETL/ELT processes and data engineering concepts.
• Experience working in Agile delivery environments.
• Ability to interpret business requirements and translate them into analytical solutions.
• Strong stakeholder management and communication skills.

• Experience with:
  • Azure Data Services
  • Py Spark
  • Data Lakes / Lakehouse environments
  • Data Governance and Data Quality frameworks
  • Generative AI or AI-enabled analytics solutions
• Experience with in:
  • Hospitality
  • Gaming
  • Entertainment
  • Retail
  • Financial Services

• Strong analytical and problem-solving abilities.
• Excellent verbal and written communication skills.
• Ability to engage confidently with C-suite executives.
• Attention to detail and commitment to quality.
• Ability to manage project deliverables and outcomes.
• Strong collaboration and teamwork skills.
• Self-driven and capable of working in a fast-paced environment.

The engagement will consist of three phases:

• Phase 1: One Data Analyst allocated full-time.
• Phase 2 & 3: Two Data Analysts allocated full-time.

Resources will be deployed at 8 hours per day for the duration of the project and will provide expertise in:

• Data Analysis
• Dashboard Development
• Databricks-enabled Analytics
• Cloud Data Engineering Support
• Data Governance & Security
• GenAI Support Initiatives
• Best Practice Implementation

Working closely with the Senior Data Engineer, the consultants will help establish standards, improve reporting capabilities, and deliver high-quality analytics solutions across multiple business divisions.