CRB Data Officer

Main purpose of the job:

The main role of the CRB-Data Officer will be to support Pride’s CRB operations by analyzing and providing insights from company data.

Minimum academic qualifications and experience:

• Bachelor’s degree in Data Science, Computer Science, Engineering, Information Science or related Mathematics field.

• Strong mathematical skills to enable collection, measurement, organization and analyzing of data.

• Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analyzing.

• A minimum of 2 years professional work experience in the field of data extraction and analysis.

Main purpose of the job:

The main role of the CRB-Data Officer will be to support Pride’s CRB operations by analyzing and providing insights from company data.

Minimum academic qualifications and experience:

• Bachelor’s degree in Data Science, Computer Science, Engineering, Information Science or related Mathematics field.

• Strong mathematical skills to enable collection, measurement, organization and analyzing of data.

• Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analyzing.

• A minimum of 2 years professional work experience in the field of data extraction and analysis.

1. Analyse input and output CRB files for identification and data gaps and following up on data correction by branches.

• Performing analysis to assess quality and meaning of data.

• Clear data files and submit data files to CRBs for validation.

• Filter Data by reviewing reports and performance indicators to identify and correct data problems

• Retrieve results of validation.

• Appraise results for any rejections, identify the cause of rejections and make necessary corrections.

2. Identify aspects in processes and systems that can affect the data quality and raise these aspects to management for resolution.

• Carryout a review of regulations against current Pride’s policies.

• Preparing reports for the management stating trends, patterns, and predictions using relevant data.

• Review the data submission manual against core banking system whenever an updated version is released.

• Working with ICT to identify process improvement opportunities, propose system modifications, and devise data governance strategies.

• Review the loan application process whenever policy reviews are done to ensure compliance.

• Advice on required system changes to align loan processes with BOU regulations.