Senior Data Platform & Data Product Analyst

Simple Machines; Sydney; On-site; AUD 150,000 - 190,000; Full time

Job summary

Simple Machines in Sydney, Australia offers a senior, technically credible analyst-advocate role focused on data platform engagements. You will act as the customer's proxy inside delivery and ensure data moves, structures, and business meanings are correctly understood, documented, and validated.

This consulting role blends data platform, data product and governance, requiring hands-on data exploration, modeling review, and collaboration with the tech lead to shape outcomes and value for

Qualifications

• Data-focused technical BA, engagement analyst or consultant background.
• Deep data understanding: movement, structure, sources, business meaning.
• SQL fluency essential: explore, profile, validate data independently.
• Reads data models and source-to-target mappings; familiar with cloud stacks and ETL/ELT.
• Strong requirements craft: elicitation, workshops, acceptance criteria, backlog.

Responsibilities

• Act as the customer's proxy inside delivery, shaping the solution with the tech lead.
• Turn client problems into actionable requirements and documentation.
• Explore and verify data to ensure credible engagements and outcomes.
• Balance data platform, data product and governance initiatives across engagements.

Skills

SQL fluency

Data modelling

Data platforms

Requirements elicitation

Stakeholder proxy

Data governance

Databricks

Snowflake

BigQuery

dbt

Azure / AWS / GCP

Jira / Confluence

Executive communication

Education

Data-focused BA/Consultant background

Tools

Databricks

Snowflake

BigQuery

dbt

Jira

Confluence

Job description

Simple Machines in Sydney, Australia offers a senior, technically credible analyst-advocate role focused on data platform engagements. You will act as the customer's proxy inside delivery and ensure data moves, structures, and business meanings are correctly understood, documented, and validated.

This consulting role blends data platform, data product and governance, requiring hands-on data exploration, modeling review, and collaboration with the tech lead to shape outcomes and value for