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Key job responsibilities
- Design, development, and ongoing operations of scalable, performant data warehouse (Redshift) tables, data pipelines, reports, and dashboards.
- Development of moderately to highly complex data processing jobs using appropriate technologies (e.g., SQL, Python, Spark, AWS Lambda, etc.).
- Collaborating with stakeholders to understand business domains, requirements, and expectations. Additionally, working with owners of data source systems to understand capabilities/limitations and to address data issues.- Actively managing the timeline and deliverables of projects, anticipating risks and resolving issues.
- Adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
A day in the life1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
Learn more about our benefits here:
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with one or more analytics visualization tools (e.g., Excel, Tableau, QuickSight, MicroStrategy, PowerBI)
- Experience with scripting language (e.g., Python, Java, or R)
- Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries)
- Master's degree
- Experience with statistical analysis, co-relation analysis
- Knowledge of data modeling and data pipeline design
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