Sand Technologies
Reward Data Analyst Intern – Remote – Sand Technologies
About Us
Sand Technologies is at the forefront of creating work opportunities for millions of Africa’s youth by harnessing the untapped talent pool across the continent. With a rapidly growing workforce projected to surpass India and China by 2035, Sand Technologies aims to solve the world’s technology talent shortage while empowering African professionals to thrive in global tech industries.
Our mission is to become a multi-billion-dollar global technology services provider, employing over 100,000 people across the globe. We have two key brands shaping our ecosystem:
- ALX – Building the world’s fastest-growing pool of technology talent, training young professionals across Software Engineering, Data Science, Cloud Computing, and Salesforce. We are shaping the next generation of technology professionals in over 60 countries.
- Sand Technologies – Supporting enterprises and scale-ups globally to develop top-tier technology products, form exceptional teams, and deliver outstanding customer experiences. With expertise in software development, data, cloud, AI, and machine learning, we are redefining industries and unlocking new growth opportunities.
About the Team
Our Data Team is a dynamic, collaborative group of data engineers, analysts, and product managers committed to leveraging data to drive actionable insights. We play a pivotal role in shaping the future of the ALX community by analyzing learner engagement, academic performance, and reward metrics. We aim to empower our internal teams with robust data insights and decision-making tools, driving us toward the ambitious goal of educating 2 million learners by 2030.
About the Role
We are seeking a highly motivated Reward Data Analyst Intern to join our team and contribute to our Legacy Rewards Program. This role is ideal for candidates passionate about data analytics and keen to contribute to our engagement and rewards strategy.
As a Reward Data Analyst Intern, you will collaborate with the Legacy Rewards Team, engineers, and product managers to ensure that the data driving our rewards programs is accurate, up-to-date, and strategically utilized.
Key Responsibilities
Legacy Point Allocation
- Collaborate with the Legacy Reward Team to define new Legacy Point Actions and calculate points allocation across various reward initiatives.
- Calculate and ensure appropriate points allocation, aligning it with program goals and metrics.
- Award points within the system based on calculations, ensuring accuracy and alignment with strategic objectives.
- Test point allocations to verify correct distribution, identifying and resolving discrepancies where necessary.
- Engage stakeholders to obtain input and sign-off on points allocation before final implementation.
Data Management, Reporting & Insights
- Manage and integrate data within the Rewards Dashboard, ensuring it accurately reflects current program activities and key metrics.
- Regularly update and maintain the Rewards Dashboard, incorporating new data and generating timely insights.
- Enhance the Legacy Rewards Dashboard, providing actionable insights that allow the team to monitor daily operations and track user engagement.
- Build and develop reporting structures to deliver clear, actionable insights, including regular and ad-hoc reports tailored to the needs of the Legacy Rewards Program.
- Analyze data to inform point allocation, reward decisions, and strategic initiatives, providing detailed assessments to the Legacy Reward Team.
- Collaborate with cross-functional teams to refine data processes and ensure comprehensive, clear insights in reporting structures.
Operations & Support
- Address and resolve backlog issues related to incorrect point logging or allocations.
- Support servicing queries related to incorrect or missing point allocations, ensuring timely and accurate resolution.
- Streamline data processes, identifying inefficiencies and improving the operational efficiency of the Legacy Reward Program.
- Clean and validate data to ensure accuracy and integrity, contributing to reliable reporting and informed decision-making.
Qualifications
Educational Background
- Pursuing or recently completed a degree in Data Science, Statistics, Computer Science, or a related field.
- A passion for data manipulation and analytics, with a desire to learn and grow within the field.
Technical Skills
- Proficiency in Excel, SQL, or other data management tools.
- Familiarity with data visualization tools such as Tableau or Power BI is a plus.
- Strong analytical skills with attention to detail and accuracy in data handling.
Soft Skills
- Strong communication skills to effectively convey complex data insights to both technical and non-technical stakeholders.
- Collaborative mindset, able to work seamlessly with cross-functional teams and stakeholders.
- Problem-solving mindset with a proactive approach to identifying issues and implementing solutions.
What We Offer
- Hands-on experience with a leading rewards program.
- Mentorship and guidance from experienced data professionals.
- An opportunity to make a tangible impact on our engagement strategies.
- A collaborative and supportive environment, working alongside talented individuals passionate about data and technology.
Why Join Sand Technologies?
At Sand Technologies, you’ll be part of a mission-driven company transforming Africa’s tech landscape while solving global talent shortages. We are committed to fostering a culture of innovation, learning, and continuous improvement, offering our employees opportunities to grow and make meaningful contributions to our multi-billion dollar global company.
Whether you’re looking to build a career in data analytics or to gain valuable experience within a fast-growing tech ecosystem, Sand Technologies is the place to grow, innovate, and make an impact.
How to Apply
Apply Now and become part of an exciting journey to transform technology talent in Africa and beyond. Submit your application via the link below:
Company Culture and Values
We believe in the power of diversity and inclusion. At Sand Technologies, our culture emphasizes collaboration, respect, and continuous learning. We encourage innovation, provide mentorship, and strive to empower every team member to reach their fullest potential.
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We are also committed to being an equal opportunity employer, and we welcome applications from individuals of all races, genders, and backgrounds. Our work environment is dynamic, exciting, and full of opportunities for growth.
To apply for this job please visit job-boards.greenhouse.io.
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