iGaming – MarTech & Data Engineer

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Company NameCazzyGames
Company TypeNGO
Job TypePart-Time
Salary RangeMarket Competitive
LocationUganda
QualificationsNone / No Formal Education
ExperienceNo Experience / Fresh

Job Overview

CazzyGames is seeking an iGaming – MarTech & Data Engineer for a part-time, entry-level position in Uganda. This role offers an opportunity to work at the intersection of marketing technology and data within the dynamic gambling and casino industry.

Company Overview

CazzyGames operates within the Gambling Facilities and Casinos sector in Uganda, focusing on the iGaming industry. The company leverages technology to enhance gaming experiences and optimize marketing strategies.

Quick Details

  • Salary Range: Market Competitive
  • Job Type: Part-time
  • Qualifications: None / Open to all applicants
  • Experience: No Experience / Fresh

Key Responsibilities

  • Assist in the collection, processing, and analysis of iGaming marketing data.
  • Support the implementation and optimization of various MarTech tools and platforms.
  • Contribute to maintaining high data quality and integrity across systems.
  • Collaborate with marketing and development teams on data-driven initiatives.
  • Generate basic reports and provide insights from marketing performance data.
  • Participate in data-related projects to support business growth.

Requirements

  • Entry-level understanding of data engineering principles or related IT fields.
  • Familiarity with marketing technology (MarTech) concepts is a plus.
  • Strong analytical mindset and problem-solving abilities.
  • Ability to work effectively in a part-time capacity.
  • Interest in the iGaming and online casino industry.
  • Good communication and teamwork skills.

Benefits

  • Opportunity to gain hands-on experience in a niche and rapidly evolving industry.
  • Flexible part-time work schedule.
  • Exposure to cutting-edge MarTech and data engineering practices.
  • Potential for learning and professional development.
  • Work in a collaborative and supportive team environment.
  • Contribute to data-driven decision-making processes.

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