Analyze internal and external data (generally with SQL, Python, Excel).
Apply structured framework to estimate hard-to-find information and deliver original insights.
Improve existing estimation and forecast solutions by scrutinizing current assumptions, identifying how our understanding would change if assumptions change, and quantifying these uncertainty (i.e. sensitivity analysis).
Translate complex data analysis into accessible business-focused reports and recommendations.
Present results to senior management on a regular basis.
Serving as in-house consultant for data-driven solutions.
Collaborate with stakeholders to build analytics capabilities.
Requirements
Bachelor degree or higher in a relevant field of study.
3–5 years of experience with one or more languages for data querying and analysis (e.g., SQL, Python).
Strong analytical skills and must be comfortable with analysis of quantitative data.
Good structural thinker.
Experience working with multiple stakeholders across various divisions.
Satisfactory understanding in English.
Self-driven with willingness to learn and improve.
Strong sense of responsibility and ability to work in fast-paced and growth changed environment.
Experience working with unstructured data is not necessary but is a plus.
