Analyst

؜ - ؜القاهرة ؜ -

تفاصيل الوظيفة

Daily Operations:



  • Read data appropriately from different file format and run data sanity checks.

  • Explore datasets and recommend actionable based on insights generated from the datasets.

  • Automate set of codes for recurring activities/reporting.

  • Statistical analysis and hypothesis testing.

  • Develop and implement the desired statistical/non-statistical methodologies in alignment with CRIF approach and standards.

  • Document the outcome of statistical/non-statistical outcome.

  • Present the analysis to clients/internal stakeholders.

  • Producing reports and charts communicating trends within data to non-specialists.


Knowledge / Skills :



  • Passionate about data and strong analytical and problem solving skills.

  • Good knowledge of statistical methodologies like Linear/Logistic regression, segmentation methodologies (CHAID, CART), Random Forest etc.

  • Good interpersonal skills.

  • Outstanding attention to detail.

  • Proven ability to meet established deadlines.

  • Good at programming in one of the language out of SAS, R, Python, PySpark

  • Quick learner and good at multitasking.

  • Written and verbal communication skills.

  • Proficient in MS Word, Excel, Access, and Power Point.


Preferred Qualifications :


- Edu
Daily Operations:



  • Read data appropriately from different file format and run data sanity checks.

  • Explore datasets and recommend actionable based on insights generated from the datasets.

  • Automate set of codes for recurring activities/reporting.

  • Statistical analysis and hypothesis testing.

  • Develop and implement the desired statistical/non-statistical methodologies in alignment with CRIF approach and standards.

  • Document the outcome of statistical/non-statistical outcome.

  • Present the analysis to clients/internal stakeholders.

  • Producing reports and charts communicating trends within data to non-specialists.


Knowledge / Skills :



  • Passionate about data and strong analytical and problem solving skills.

  • Good knowledge of statistical methodologies like Linear/Logistic regression, segmentation methodologies (CHAID, CART), Random Forest etc.

  • Good interpersonal skills.

  • Outstanding attention to detail.

  • Proven ability to meet established deadlines.

  • Good at programming in one of the language out of SAS, R, Python, PySpark

  • Quick learner and good at multitasking.

  • Written and verbal communication skills.

  • Proficient in MS Word, Excel, Access, and Power Point.


Preferred Qualifications :


- Education: Bachelor/Masters in Statistics/Maths/Economics/Operation
Research, Engineering from leading institutions, or equivalent to these
degrees.
* Spoken Language: English (mandatory), Arabic (mandatory), French (mandatory).


cation: Bachelor/Masters in Statistics/Maths/Economics/Operation Research,
Engineering from leading institutions, or equivalent to these degrees.
* Spoken Language: English (mandatory), Arabic (mandatory), French (mandatory).

ملخص الوظيفة

  • المُعلن : CRIF
  • تاريخ الإعلان : 23/06/2023
  • نوع العمل : -
  • مستوى الخبرة : -
  • المستوى التعليمي : -
  • مكان العمل : القاهرة
  • الراتب : -
  • الهاتف : -

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