Senior Data Platform & Product Analyst

Simple Machines 3

Sydney

On-site

AUD 90,000 - 130,000

Full time

14 days+
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Job summary

Simple Machines seeks a senior, technically credible analyst-advocate for data platform and data product engagements, acting as the customer’s proxy inside delivery. This data specialist understands data movement, structure, where it comes from, and its business meaning; SQL fluency is essential.

You will shape solutions with the tech lead and translate business needs into clear requirements and documentation that keep engagements progressing, while exploring data products where appropriate

Qualifications

  • Data-focused technical BA, engagement analyst, consultant, or engineer/analyst who moved into the analyst seat
  • Deep data understanding: how data moves, is structured, where it comes from and what it means in business terms
  • SQL-fluent (must-have): explores, profiles and validates data independently
  • Reads and reasons about data models and source-to-target mappings; knows a modern cloud data stack and ETL/ELT
  • Strong requirements craft: elicitation, workshops, acceptance criteria, backlog, RAID
  • Not a software, process or ERP BA; user-story-only BAs without SQL are not a fit

Responsibilities

  • Act as the customer’s proxy inside delivery and shape the solution with the tech lead
  • Translate business needs into documentation and requirements that keep engagements moving
  • Consider data product outcomes, prioritisation and value where appropriate
  • Facilitate workshops, define acceptance criteria, and support validation and UAT

Skills

SQL fluency
Data modelling
Elicitation
Stakeholder proxy
Problem solving

Tools

Databricks
Snowflake
BigQuery
dbt
Azure
AWS
GCP
Jira
Confluence

Job description

Simple Machines seeks a senior, technically credible analyst-advocate for data platform and data product engagements, acting as the customer’s proxy inside delivery. This data specialist understands data movement, structure, where it comes from, and its business meaning; SQL fluency is essential.

You will shape solutions with the tech lead and translate business needs into clear requirements and documentation that keep engagements progressing, while exploring data products where appropriate

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