Senior Data Analyst
Tasks
- Architect Salesforce and data warehouse integrations
- Build and optimize audience generation engines
- Build dimensional data models
- Create dashboards for business stakeholders
- Design and build ETL pipelines
- Develop secure data sharing pipelines
- Integrate first party data with ad buying platforms
- Manage data migrations using Python and SQL
- Perform data validation and testing
- Remap downstream dependencies after migrations
Perks/Benefits
- Discounts on Kindergarten Expenses
- Discounts on food
- Enhanced parental leave
- Flexible time off
- Learning budget
- Monthly meal credits
- Office nursery
- Online therapy and wellbeing benefits
- Private health insurance
- Transportation discounts
- Wellhub Membership
- Work From Anywhere Up To Three Weeks Per Year
- Work From Home Two Days Per Week
Skills/Tech-stack
A/B | A/B Testing | API Integrations | B testing | Cloud Storage | Cloud Storage Buckets | DV360 | Data Modeling | Data Pipelines | Data Validation | Dimensional Modeling | ETL | Looker | Multivariate Testing | Pandas | PowerBI | Python | SFTP | SQL | Salesforce | Salesforce SOQL | SciPy | Seaborn | Storage buckets | Tableau | Testing | The Trade Desk | Trade Desk
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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