As a Principal Data Analyst, you will join the Gain Theory Data Practice and be embedded within one of our client-focused squads. You will collaborate on some of the world's top brands, gaining hands-on experience with diverse data sources and applying data processing techniques such as SQL, ETL and Python to manage, clean, and transform data.
Requirements
- Manage data extraction, manipulation, and validation
- Manage data extraction, manipulation, validation, and interrogation using SQL, Python, and other relevant tools
- Build data QA insights relevant to the project
- Ensure that all data is systematically checked and passes all QA steps
- Execute and update data pipelines
- Build data ingestion and transformation pipelines using all the tools that Gain Theory has at your disposal
- Propose better approaches to help improve internal procedures
- Share techniques and ideas with the wider data community
- Initiate and engage with internal project meetings
- Collaborate with the Data Manager to coordinate with client and agency partners
- Engage with the wider Gain Theory data community, including the Data Centre of Excellence (DCOE)
- Mentor and support junior analysts on their projects
- Manage and motivate Gain Theory team members
Benefits
- Flexible by design
- Brilliant benefits
- Culture with Heart
- Growth and development
- Meaningful work