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Business Intelligence Engineer Ii
Company | Chewy |
Address | Bellevue, WA, United States |
Employment type | FULL_TIME |
Salary | |
Category | Retail |
Expires | 2023-08-07 |
Posted at | 10 months ago |
Our Opportunity
- Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes
- Provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources
- Produce comprehensive, usable data set documentation, metadata, BI reports, Dashboards and insights
- Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data models, reports/dashboards/BI solutions for analytics and deep learning
- Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions that work well within the overall data architecture
- Advanced ability to draw insights from data and clearly communicate them to the stakeholders and senior management as required.
- Knowledge of data management fundamentals and data storage principles.
- 4+ years of industry experience in a role requiring application of analytic skills to integrate data into operational/business planning or advanced degree.
- Be self-driven, and show ability to deliver on ambiguous projects with incomplete or ‘dirty’ data.
- 4+ years of experience building automated data warehousing environments for production reports or tables. Familiarity with Redshift, Snowflake DWH’s and S3 or similar data lakes preferred
- Excellent communication skills, both written and verbal
- 3+ years’ experience with data visualization tools like Tableau, Looker, Quicksight or similar (familiarity with Tableau preferred).
- Ability and interest in working in a fast-paced and rapidly-changing environment.
- Advanced knowledge of SQL and data modeling
- 2+ years of experience on Python/ R or similar coding languages
- BA/BS in Computer Science, Engineering, Mathematics or related field.
- Experience building on AWS QuickSight, ElasticCache etc
- Experience in gathering requirements and formulating business metrics for reporting
- Experience with statistical models and building predictive models from scratch
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