Senior Data Analyst
Tasks
- Architect and maintain Salesforce data integrations
- Build and optimize automated audience generation engines
- Build dimensional data models
- Create dashboards for commercial stakeholders
- Design, build, and maintain ETL pipelines
- Develop API integrations for ad buying platforms
- Implement data validation and testing checks
- Lead end-to-end data migration projects
- Manage secure data sharing pipelines
- Perform data validation testing
- Remap downstream dependencies
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | APIs | Audience Segmentation | B testing | Cloud Storage | Data Quality | Data Quality Testing | Data Validation | Data Warehousing | Dimensional Modeling | ETL | First-party data | Looker | Multivariate Testing | Pandas | Party data | PowerBI | Python | Quality testing | SFTP | SOQL | SQL | Salesforce | SciPy | Seaborn | Tableau
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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