About the role
A core function of pricing and revenue management.
Roles and Responsibilities:
- Provide
analytical consultation, statistical/mathematical modelling, and solutions
to achieve business objectives
- Research, design,
develop, implement, and support decision-science models
- Conduct research
on analytical techniques and translate that research into usable and
sustainable solutions for users of production systems
- Design and
develop advanced analytical data mining, forecasting, estimation,
simulation, and/or optimization models
- Perform
exploratory data analysis to identify patterns and trends in customer
behavior
- Lead the analysis
and validation of statistical, forecasting, and optimization models.
- Provide ad-hoc reporting, advanced analysis and support to Commercial
stakeholders and senior leadership
Requirements
- Expert‐level fluency in applying advance multivariate
statistical analysis (logistic & linear regression, decision tree,
cluster analysis) to categorize, classify, and detect relationships in
large datasets
- Proficiency in
extracting and cleansing large datasets from different data sources
- Expertise of
using advanced BI tools like Power BI/Tableau
- Mastery of
analytical tools, including spreadsheet modelling, relational
databases/SQL, and statistical analysis tools
- Demonstrated
proficiency in programming with knowledge of SQL, R, Python
- Good command over
Machine Learning and Data Science
- Ability to
understand complex business requirements and define key performance
metrics to measure benefits and communicate complex quantitative analysis
in a clear, precise, and actionable manner.
- Strong, demonstrated problem solving skills involving both business
problems and people interactions