Conduct quantitative analyses to monitor performance (financial and operational metrics), identify deviations, and generate MECE root-cause hypotheses.
Develop forecasts and scenarios with clear assumptions, track accuracy, and refine models.
Perform benchmarks and data analyses (segmentation, outliers, correlations) to uncover improvement opportunities.
Prepare business cases and prioritize opportunities by impact, effort, and risk.
Support pilot execution: sample definition, data collection/quality, KPI design, and results monitoring.
Document learnings and deliver repeatable materials (dashboards, playbooks).

Bachelor's degree in Engineering, Economics, Business Administration, Statistics, Data Science, or related fields.
Minimum 2–4 years in an analytical/operational role or internal consulting.
Advanced knowledge of Excel, SQL, and BI tools (Power BI/Tableau).
Structured thinking (MECE), attention to data/outliers, and strong communication skills to translate analysis into action.
Familiarity with Python or R is desirable.

Mid-level Transformation Analyst

Key skills