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

43 jobs found

The Federation of Uganda Football Associations (FUFA)

Competitions Data Officer

Kampala Uganda
Closed for applications
Population Services International

Associate, Data Engineering - DISC Project

Nairobi Kenya
Closed for applications
Stanbic Bank

Data Privacy Specialist

Kampala Uganda
Closed for applications
UN Women

IT Associate, NPPSA-6, Nairobi

Nairobi Kenya
Closed for applications
UNICEF

Consultant for EJRF Support and Immunization Data Analysis, CoE, Nairobi

Nairobi Kenya
Closed for applications
Evidence Action

Senior Associate, Innovation and Data Integration

Mbale Uganda
Closed for applications
Raising The Village

Data Scientist

Mbarara Uganda
Closed for applications
PATH

IT Officer

Abuja Nigeria
Closed for applications
KenGen Staff Retirement Scheme

ICT & Database Assistant

Nairobi Kenya
Closed for applications

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Kiira Motors Corporation

Senior Data Analyst

Jinja, Kampala, Nakasongola Uganda
Closed for applications

Country / Region

Profession (Mid-level)

Seniority (Information technology, software development, data)

© Fuzu Ltd

Competitions Data Officer

Closed for applications
Job details

Contract Type

Description

Requirements

  • Bachelor’s degree in IT, Data Science, Statistics, or related field
  • At least 3 years’ experience in a data-related role
  • Proficiency in SQL and database systems
  • Strong data validation and reporting skills.
Responsibilities
  • Match Reporting and Digital Data Collection: Overseeing the systematic gathering and validation of real-time match data to ensure accuracy and high quality digital output.

  • Match Reporting & Strategic Data Collection: Overseeing the systematic gathering and validation of real-time match data to ensure accuracy and high quality digital output.

  • Regulatory Compliance & Player Eligibility: Managing rigorous verification processes to ensure all participants and competitions adhere to established legal and governing body regulations.

  • Data Governance & Quality Assurance: Implementing robust frameworks to maintain data integrity, security, and standardization across all organizational platforms.

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