To extract meaningful insights from complex data sets, developing robust decision models, and presenting actionable recommendations to stakeholders across the departments.
Identification and extraction of relevant data from various internal and external sources.
Performing sensitivity analysis and scenario planning.
Monitoring and evaluation of the performance of existing models.
Development and implementation of data quality control procedures.
Building and validation of quantitative models to support decision-making across different business areas.
Collaborate closely with other functions/ business divisions.
Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function.

Proficiency in SAS, SQL and Python.
Excellent analytical skills with the ability to interpret complex data, draw meaningful conclusions, and make actionable recommendations to support decision-making.
Ability to translate data into clear, insightful narratives that drive business outcomes.
Excellent communication skills, with the ability to story-tell and present findings to both technical and non-technical audiences.
Proficient in using Microsoft Excel for data analysis and reporting.
Degree in Mathematics, Engineering, Data Science, or a related field.

Commercial Analyst – Savings

Key skills