We are looking for a mid-level Data Analyst to join a small team to support the migration of data from Domo to Google BigQuery and Looker, with potential alternative delivery into AWS QuickSight. This role will focus on rebuilding existing Domo dataflows, ensuring continuity of reporting for business users.

Scope of Wor

• kMigration from Domo (Analyze existing Domo dataflows Magic ETL, datasets; Rebuild in BigQuery Looker and/or AWS Redshift for QuickSight; Ensure parity between legacy and new platform outputs; Support phased decommissioning of Domo Data
• )Data Modelling for BI Consumption (Prepare datasets for consumption in Looker third party data, QuickSight internal data, Support semantic layer development, Ensure consistency with existing reporting logic
• )Validation & QA (Reconcile outputs between Domo and target platforms during migration, Identify and resolve data quality issues, Document transformations and logic clearly
• )Collaboration (Work closely with a small team, Engage with business stakeholders where required, Provide pragmatic input into cross-platform decisions

)Required Skill

• sStrong SQL (BigQuery, Redshift, or similar warehouse
• )Experience building ETL/ELT pipelines in cloud environment
• sHands-on experience with Domo (Magic ETL / datasets) OR similar legacy BI toolin
• gExperience with BigQuery and/or AWS Redshif
• tUnderstanding of data modelling for BI/reportin

gDesirabl

• eExperience with Looker / LookM
• LExperience with AWS QuickSigh
• tPython (or similar) for data processin
• gExperience with data platform migration
• sExposure to music / media / rights data (nice to have

)AI / Forward-Looking Work (Optional but valuable

• )Interest in AI/LLM use cases (e.g. chat over data, semantic querying
• )Ability to help prepare datasets for AI-driven exploratio
• nNot core to role, but relevant to upcoming workstream

sProfil

• eMid-level Data Analyst (comfortable working independently within defined scope
• )Pragmatic and delivery-focuse
• dAble to operate across multiple tools/platforms where require
• dComfortable in a small, fast-moving tea

mKey Outcome

• sSuccessful migration of priority datasets from Domo to BigQuery and/or AWS stac
• kReliable, documented pipelines replacing legacy workflow
• sClean, reusable data models supporting Looker and/or QuickSigh
• tMinimal disruption to existing reporting during transitio

n
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