Key skills
PythonSQLMachine LearningData EngineeringAnalyticsBIPower BIAgileProject Management
About this role
Role Overview
- Deliver analytics solutions, including data modeling, semantic layer development, predictive analytics, dashboards, and self‑service capabilities.
- Partner closely with Data Engineering, IT, and Finance Operations to ensure robust data pipelines, data quality, and model governance.
- Build forecasting models, scenario analyses, profitability analytics, and performance management frameworks.
- Ensure analytical rigor, validation, and ongoing performance monitoring of models used across forecasting, commercial insights, and operational planning.
- Drive standardization and reuse of analytical components across divisions.
- Work within agile methodologies to drive transparency, responsiveness, and continuous improvement.
Requirements
- Advanced degree (phd preferred) in Statistics, Engineering/Bioengineering, Economics, Mathematics or related field.
- Minimum of 2 years professional or educational experience in Machine Learning, Data Analysis, Outlier Analysis, Data Curation/Engineering, Story-Telling and Data Visualization.
- Experience working in a team environment and related skills (People Management, Project Management).
- Expertise in advanced data analysis, data modeling, and modern BI/analytics tools (Power BI, SQL/Python).
Tech Stack
- Python
- SQL
Benefits
- medical, dental, vision healthcare and other insurance benefits (for employee and family)
- retirement benefits, including 401(k)
- paid holidays
- vacation
- compassionate and sick days