Analytics & Insights, Traineeship [GRIT@Gov]

[What you will be working on]

Main Responsibilities:

1.Develop Statistical Models and Imputation Methods

a)Conduct statistical analysis (such as multivariate modelling), to identify and establish visitor profile groups across multiple dimensions, and attribute the spending patterns accordingly

b)Design and implement imputation models for missing values using advanced statistical techniques

c)Validate findings and model performance, by applying statistical tests such as Kruskal-Wallis Test and One-Way ANOVA

2.Data Preparation and Integration

a)Integrate and standardise multiple datasets, with large number of fields and records

b)Reconcile differences in field names, value encodings, and business logic across tables

c)Ensure data integrity and consistency by implementing quality assurance processes

d)Document data transformation procedures, and maintain comprehensive data dictionaries

[What we are looking for]

-Trained in a quantitative discipline: Business Analytics, Statistics, Applied

Mathematics, Economics, Computer Science, Data Science, or a related discipline

-Experience with statistical analysis and model validation

-Experience working across large datasets, ensuring data quality and deriving meaningful insights

-Proficient in statistical programming tools (e.g., Python, R), and database scripting languages (e.g., SQL)

-Strong research, planning, organisational, and time management skills.

-Good presentation and communication skills