Data Analyst (mid level)
Tasks
- Apply regression and time series analysis
- Build automated Looker dashboards
- Clean and model data from WMS ERP and tracking systems
- Create semantic models for business metrics
- Design test and document LLM assisted analytical workflows
- Optimize SQL queries in Google BigQuery
- Perform diagnostic analyses to find root causes
- Recommend actions to product and warehouse stakeholders
- Track post implementation efficiency metrics
- Translate supply chain telemetry into KPI narratives
Perks/Benefits
- Company shares
- English classes
- Home-office equipment
- Hybrid work
- Learning platform access
- Life insurance
- Lunch vouchers
- Parental leave
- Private health care
- Work-life balance
Skills/Tech-stack
Cloud platform | Google BigQuery | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | Looker | Power BI | Prompt engineering | Python | Regression Analysis | SQL | Semantic Model | Series analysis | Tableau | Time Series | Time Series Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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