Cloud Leader -Data Analyst

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.

• Required Skills & Experience

Technical Skills

• 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)

Tools & Platforms

• 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)

Preferred Experience (Good to Have)

• 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)