- Design and deliver models, analytics, and insight frameworks for faster decision-making within Finance and G&A; teams
- Lead forecasting, planning, and performance management efforts, embedding models in key operational cycles
- Build solutions independently as part of a high-impact team
- Mentor analysts and data scientists across G&A; to enhance AI and advanced analytics application
- Collaborate with teams to create usable models and dashboards from complex data
Requirements
- Strong SQL skills for extracting, wrangling, and analyzing large, complex datasets
- Solid Python or R experience across the full data science workflow, from feature engineering to model deployment
- Positive grounding in statistical and machine learning techniques, including time-series forecasting, regression, classification, and causal inference
- Comfortable with data visualisation tools like Tableau to communicate complex analysis to non-technical stakeholders
- Strong problem-framing skills to translate ambiguous business questions into clear analytical problems
- Experience partnering with Finance or a similar corporate function
Core Competencies
Demonstrates expertise in SQL and Python or R for data analysis and model deployment, with a strong foundation in statistical and machine learning techniques. Capable of mentoring teams and translating complex data into actionable insights for Finance and G&A; functions.
Highest-signal resume keywords
- SQL Data Extraction
- Python Data Science Workflow
- Statistical Analysis
- Machine Learning Techniques
- Data Visualization with Tableau