Data Automation Analyst

Role Overview
We're looking for a Data Automation Analyst who is strong in data analysis and can build and manage automated data systems end-to-end. You'll work with data from various business platforms, connecting different tools and systems so data flows automatically without manual work, while using that data to generate meaningful analysis and insights.

Key Responsibilities
-Analyse data from connected platforms to generate insights and support business decisions - this is the core focus of the role.
-Build and maintain automated workflows end-to-end using tools like Zapier, Make.com, or similar, connecting different systems and data sources through connectors and APIs.
-Own the complete ETL process - extract, clean, standardise, and load data into a central database.
-Use AI tools like Claude Code to support automation and data workflow tasks.
-Understand business problems first, and based on that, decide what actually needs to be automated and how.
-Clearly communicate the automation process and technical work to clients in a non-technical, easy-to-understand way, explaining what is being automated, how it's being automated, and how the tools are being used end-to-end.
-Maintain and improve the overall data setup as data volume and requirements grow.

Must-Have Requirements
-Minimum 2+ years of hands-on experience in data analysis and automation.
-Strong hands-on data analysis skills, with a clear understanding of how to work with and interpret data - his is the primary requirement for the role.
-Proven, end-to-end hands-on experience with automation tools like Zapier, Make.com, or similar, including setting up connectors and integrations between multiple platforms.
-Practical, working experience with the full ETL process - not just theoretical knowledge - extracting, cleaning, standardising, and loading data.
-Genuine, hands-on experience using Claude Code (not just familiarity).
-Working knowledge of databases such as Supabase, PostgreSQL, BigQuery, or Snowflake.
-Basic understanding of marketing data (e.g., Google Ads, Meta Ads metrics) as a general example of the type of data you may work with.
-Strong communication skills to explain technical/automation work to non-technical clients clearly.