Senior Analytics Engineer
Tasks
- Analyze AUM flows adviser productivity client segmentation charging and process performance
- Apply accessible consistent UX in reporting
- Apply data warehousing principles dimensional modelling SCDs and conformed dimensions
- Collaborate with architects and engineers to validate technical solutions
- Create DAX measures and high quality reports
- Design Power BI semantic models using star schema
- Design data lake datasets for analytics and self service reporting
- Develop self service data capability for business teams
- Ensure analytical assets are secure traceable and reusable
- Identify and resolve data quality issues
- Maintain reusable datasets in SQL Server and Azure Fabric
- Optimize SQL query performance
- Partner with business stakeholders to deliver actionable insight
- Perform testing reconciliation validation and release processes
- Prepare and validate datasets for data scientists
- Use Git for source control and peer review
- Write SQL to extract transform and validate data
Perks/Benefits
- 25 days annual leave
- Buy and sell holidays
- Confidential Employee Assistance Programme
- Flexible benefits
- Further education and training support
- Group life insurance
- Hybrid working
- Income protection insurance
- Office Christmas close
- Private medical insurance
- Voluntary work days
Skills/Tech-stack
Azure Fabric | Conformed Dimensions | DAX | Data Lake | Data Lineage | Data Quality | Data Validation | Data Warehousing | Dimensional Modelling | Git | Indexing | Power BI | Query Optimization | SQL | SQL Server | Semantic Model | Slowly Changing Dimensions | Source Control | Star Schema | Stored Procedures
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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