Cloud Leader -Data Analyst

Overview

The resource will support a Managed Services portfolio for a large retail client in Australia, covering multiple data products including BI platforms, data pipelines, and ML / GenAI solutions. This role is hands-on and operational in nature, with a strong focus on incident troubleshooting, root cause analysis (RCA), and requirement articulation for enhancements and change requests.

Key Responsibilities

• Act as the first line of technical analysis for support tickets related to:
• BI and reporting platforms
• Data pipelines and batch/stream processing
• ML / GenAI models and data-driven applications
• Perform initial Root Cause Analysis (RCA) for technical issues, including:
• Data correctness and data quality issues
• Pipeline failures or performance degradation
• Model behavior, inference issues, or unexpected outputs
• Use hands-on technical skills (Python, SQL, GCP services) to investigate issues, validate data, and identify root causes.
• Work closely with the Australian client stakeholders to:
• Clarify issue details and business impact
• Gather additional requirements for fixes or enhancements
• Communicate findings clearly and professionally
• Convert resolved issues or RCA outcomes into:
• Requirement documents
• User stories for enhancements or Change Requests (CRs)
• Clear acceptance criteria and technical notes for implementation teams
• Collaborate with engineering, ML, and platform teams to ensure:
• Smooth handover from support to enhancement delivery
• Proper documentation and knowledge capture
• Participate in service reviews, incident reviews, and continuous improvement discussions as part of the Managed Services model.
  

• Strong hands-on experience with:
• SQL (for data analysis, validation, and troubleshooting)
• Python (for debugging, scripting, and analysis)
• Good working knowledge of Google Cloud Platform (GCP) services such as:
• BigQuery
• Dataflow / Dataproc
• Cloud Functions / Cloud Run
• Vertex AI (basic understanding for ML/GenAI support)
• Understanding of:
• Data pipelines and ETL/ELT concepts
• BI and analytics workflows
• ML / GenAI solution lifecycles (training, inference, monitoring – conceptual + operational)
  

• SQL (BigQuery or equivalent)
• Python
• Google Cloud Platform (GCP)
• BI tools (Looker, Power BI, Tableau – user/support level)
• Ticketing & tracking tools (Jira, ServiceNow, or equivalent)
  
  

• Prior experience in Managed Services / L2–L3 support roles
• Exposure to Retail domain data (sales, inventory, customer analytics)
• Experience supporting ML or GenAI-based data products in production
• Working with offshore teams supporting APAC / ANZ clients
• Documentation tools (Confluence, Google Docs)