BI Data Engineer
Skills
- Proficiency in SQL querying and BI tool usage.
- Strong Python scripting skills for ETL development.
- Experience with command line and Git version control.
- Sound statistical knowledge and data analysis expertise.
- Ability to develop data visualizations and models in BI platforms like Looker.
Responsibilities
- Build and maintain Python-based ETL pipelines to gather, process, and deliver data.
- Develop and optimize data models and schemas for efficient analysis in the data warehouse.
- Create end-to-end reporting solutions, including data ingestion and dashboard generation.
- Collaborate with business leaders to define key metrics and reporting needs.
- Perform in-depth data analyses to improve infrastructure and product performance.
- Become an expert on Credible's data and analytics systems.
- Drive company-wide adoption and efficient use of BI tools.
Education
- Bachelor's degree in a quantitative field.
Benefits
- Remote work flexibility across multiple US states.
- Opportunity to influence and optimize business-critical data systems.
- Collaborative environment promoting the use of data across teams.
- Equal opportunity employer with inclusive hiring practices.
Average salary estimate
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