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Legacy Reward Modelling Specialist - Remote

Posted 20 hours ago
Data Analysis
Full Time
Worldwide

Overview

As a Legacy Reward Modelling Specialist, you will leverage data to optimize the Legacy Rewards Program, enhancing learner engagement and driving financial sustainability through predictive modelling and analytics.

In Short

  • Develop and refine data models and predictive analytics.
  • Optimize points allocation algorithms for fairness and sustainability.
  • Build dashboards to track program metrics.
  • Monitor and forecast reward budgets.
  • Provide insights for reward partnerships.
  • Conduct performance analysis and audits.
  • Deliver actionable insights for program enhancements.
  • Collaborate with cross-functional teams.
  • Ensure data integrity and compliance.
  • Support pilots and AB testing initiatives.

Requirements

  • Advanced analytics and predictive modelling expertise.
  • Proficiency in behavioral data analysis.
  • Experience in data visualisation tools.
  • Strong communication skills.
  • Proactive and self-driven approach.
  • High attention to detail.
  • Ability to work with multiple stakeholders.

Benefits

  • Opportunity to impact learner engagement.
  • Work in a mission-driven organization.
  • Collaborative work environment.
  • Access to professional development resources.
  • Flexible working arrangements.
ALX Africa logo

ALX Africa

ALX Africa is a non-profit organization under the ALX Foundation, focused on unlocking the potential of Africa's digital future. With a mission to bridge the digital divide, ALX Africa provides world-class tech skills training and career acceleration programs aimed at empowering 2 million Africans by 2030 to secure sustainable tech careers. Operating hubs in 8 cities across the continent, the organization equips learners with practical skills in software engineering, data science, and cybersecurity through rigorous coursework, industry partnerships, and hands-on projects. ALX Africa is dedicated to fostering a community of innovative leaders and technology professionals who can thrive in the rapidly evolving tech landscape.

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