Information technology, software development, data Jobs for Mid-level in Africa

4 jobs found

Ezra

Business Intelligence Specialist

Nairobi Kenya
Ezra

Data Engineer

Nairobi Kenya
Ezra

Principal Architect

Nairobi Kenya
Unifi

IT Officer

Kampala Uganda
M-KOPA

Senior Enterprise Solutions Architect - MS Dynamics 365

Nairobi Kenya
Closed for applications
M-KOPA

Senior Solutions Architect - MS Dynamics 365

Nairobi Kenya
Closed for applications
M-KOPA

Data Scientist - Credit Eligibility

Nairobi Kenya
Closed for applications
M-KOPA

Senior Data Scientist - Credit

Nairobi Kenya
Closed for applications
Moniepoint Incorporated

Senior Application Security Engineer

Lagos Nigeria
Closed for applications

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Moniepoint Incorporated

Senior Cloud Engineer

Lagos Nigeria
Closed for applications
Ezra

Finance & FinTech

Business Intelligence Specialist

Job details

Contract Type

Description

Minimal Qualifications and Experience:

  • Working proficiency with Python or any other programming or scripting language
  • Advanced working proficiency with SQL
  • Working proficiency with any RDBMS, including performance optimizations.
  • Experience with GIT.
  • Experience with Excel.
  • Familiarity with report creation via Tableau.
  • Familiarity with the Linux environment as a user and developer (Debian is a plus).
  • Being familiar with the Windows environment as a user and developer.
  • Minimum of 2+ years of working experience

Ideal Qualifications:

  • Deep understanding of the PostgreSQL database system
  • Experience with software development best practices.
  • Experience with Windows Server administration.
  • Experience with Debian server administration and setup.
  • Working proficiency in Java or C/C++ is a plus.
  • Proficiency with Docker or other container solutions.
  • Deep knowledge of the Tableau ecosystem.


Responsibilities
  • Collaborate with the key business stakeholders, gathering reporting requirements, and implementing the desired reports.
  • Develop, deploy, and maintain ETL pipelines in Python.
  • Creating various data visualizations in Tableau is a major part of the work.
  • Suggest appropriate statistical approaches to the measurement of company KPIs.
  • Assist in the evaluation of new technologies for adoption.


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