Analytics Developer

About the position

A global freight forwarding and logistics leader operating in over 100 countries, leveraging cutting-edge technology to transform global supply chains through collaboration, continuous learning, and excellence, is seeking an Analytics Developer to design and deploy advanced analytics solutions. You will focus on building scalable data pipelines in Databricks, implementing BI frameworks in Power BI/Fabric, and delivering actionable insights that drive strategic decision-making.

Responsibilities:

• Pipeline Development: Build and optimize scalable batch and real-time pipelines using Databricks, Python, and Scala.
  
  
• Environment Management: Design ETL workflows in Notebooks and manage clusters for performance and cost efficiency.
  
  
• Orchestration: Integrate Databricks with Azure Data Factory and other enterprise platforms for seamless data flow.
  
  
• Innovation: Drive organizational maturity by integrating AI/ML capabilities into analytics workflows.
  
  
• Visualization: Create high-impact dashboards and reports to enable global self-service analytics.
  
  
• Modeling: Design optimized data models (Star/Snowflake schemas) and develop complex measures using advanced DAX.
  
  
• Governance: Manage workspaces and implement Row-Level Security (RLS) and data masking to ensure compliance.
  
  
• Support: Provide end-user training to foster a data-driven culture across the organization.
  
  
• ETL/ELT Excellence: Maintain high data quality and lineage across data lakes and warehouses.
  
  
• Collaboration: Partner with IT and business stakeholders to integrate analytics with ERP and CRM systems.
  
  
• Troubleshooting: Resolve complex technical challenges related to data integration and reporting accuracy.
  
  

Minimum Requirements:

• Degree: Bachelor’s in Computer Science, Data Science, or a related field.
  
  
• Experience: 4+ years in analytics and data integration; 3+ years specifically with Databricks.
  
  
• Cloud Proficiency: Strong experience within the Azure ecosystem.
  
  
• Languages: Expert-level SQL and Python (or Scala).
  
  
• BI Tools: Advanced Power BI, Power Query, and DAX.
  
  
• ETL Tools: Azure Data Factory, Informatica, or Talend.
  
  
• Preferred Certifications
  • Azure Data Engineer Associate
    
    
  • Databricks Certified Data Engineer Professional
    
    
  • Microsoft Certified: Power BI Data Analyst Associate
    
    

Benefits:

• Competitive salary based on experience (salary can potentially be more based on experience/skills)

IF you meet the above requirements and want to make a career-changing move, apply today by emailing your CV to [Email Address Removed].com

Desired Skills:

• Analytics Developer
• Analytics Developer
• Analytics Developer