Lead Data Analyst - Hybrid - Permanent
Lead Data Analyst - Hybrid - Permanent
Role Overview
Lead the delivery of end-to-end analytics solutions across data platforms and transformation programmes. You will manage cross-functional teams, engage stakeholders, and ensure high-quality analytical outputs that drive business value.
Key ResponsibilitiesOwn and deliver the analytics roadmap within broader data programmes.
Lead teams of analysts, data engineers, and analytics engineers to deliver data workflows, platforms, and reporting solutions.
Define standards for requirements, documentation, code quality, and release management.
Partner with stakeholders to prioritise work, run workshops, and drive adoption.
Ensure quality through validation, reconciliation, and clear "definition of done."
Contribute to pre-sales, proposals, and development of reusable analytics assets.
Required Experience
Experience leading analytics delivery in complex environments (3+ years).
Proven delivery on modern data platforms (cloud DWH, lakehouse, BI modernisation).
Strong stakeholder management and team leadership experience.
Experience with data validation, controls, and go-live readiness.
Core Skills
Advanced SQL and Python
Strong data modelling (dimensional; Data Vault a plus)
BI & analytics (Power BI, Tableau, Looker)
Agile delivery (Scrum/SAFe)
Strong communication and problem-solving skills
Technical Stack
Snowflake, Databricks, Fabric (or similar)
dbt, CI/CD, version control
Airflow, ADF, Dagster
Power BI, Tableau, Looker
JIRA, Confluence, DevOps
Qualifications
Relevant degree or equivalent experience
Cloud or analytics certifications preferred
Agile certifications desirable
To apply for this role please submit your CV or contact Dillon Blackburn (see below)
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