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.

Duties  and  responsibilities:
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.

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.

Desired  competencies  and  knowledge:
• Data  Analytical  skills
• A  high  level  of  mathematical  ability
• Good  written  and  verbal  communication  skills.
• Strong  attention  to  details  and  technicalities.
• Excellent  organizational  and  technical  skills.
• Good  interpersonal  and  multi-tasking  skills.