
Data Engineer (Women In Tech Internship)
Who we are
Moniepoint Inc. is Africa’s all-in-one financial ecosystem, helping 10 million businesses and individuals access seamless payments, banking, credit, and business management tools since 2019.
As Nigeria’s largest merchant acquirer, it powers most of the country’s Point of Sale (POS) transactions. Through its subsidiaries, Moniepoint Inc. processes $22 billion monthly for its customers while operating profitably.
Curious about what makes Moniepoint an incredible place to work? Check out posts on how we cultivate a culture of innovation, teamwork, and growth.
About the role
We're in search of the next Dream 15 to join our team!
Get mentored for 6 months, work on real life-changing projects and get paid at one of Africa’s most prominent Fintechs.
Join the Moniepoint Women in Tech Internship Programme by applying below.
What you’ll get to do
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Develop company A/B testing framework and test model quality.
- Coordinate with different functional teams to implement models and monitor outcomes
To succeed in this role, we think you should have:
- At least 1 year proven learning experience as a Data Engineering Intern.
- Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
- A drive to learn and master new technologies and techniques.
Some of the technologies you’ll get to work with:
- SQL, Python
- GCP
- Apache Airflow
Apply for this job
*
indicates a required field