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
    
  • PySpark
    
  • Data Lakes / Lakehouse environments
    
  • Data Governance and Data Quality frameworks
    
  • Generative AI or AI-enabled analytics solutions
    
• Experience within:
  • 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.