New exciting opportunity at Mastercard Foundation: Mastercard Foundation seeks a world where everyone has the opportunity to learn and prosper. New exciting opportunity at Mastercard Foundation Through its Young Africa Works strategy and Canadian EleV program, the Foundation works with partners to ensure that millions of young people, especially young women, access quality education, financial services, and dignified work. Mastercard Foundation was established in 2006 through the generosity of Mastercard when it became a public company. The Foundation is independent with its own Board of Directors and CEO.
We are currently in an exciting period at the Mastercard Foundation as we intensify implementing the Young Africa Works strategy, aiming to empower 30 million young people throughout Africa to access dignified and fulfilling employment. To ensure the Foundation’s accessibility to our partners and program participants, we have established offices in Rwanda, Kenya, Ghana, Senegal, Ethiopia, Nigeria, and Uganda. These offices provide strong in-country support for the implementation of Young Africa Works. We collaborate with governments, the private sector, educators, and other funders to enhance the quality of education and vocational training, equip young individuals with the necessary skills for the workforce, expand access to financial services for entrepreneurs and small businesses, and facilitate connections between job seekers and meaningful employment opportunities.
Our values serve as our guiding principles, transcending and surpassing all other considerations. We wholeheartedly encourage you to bring your bold ideas, curiosity, and expertise to your work.
The successful candidate will be based in one of our Africa offices (Kenya, Uganda, Ethiopia, Ghana, Nigeria, Senegal and Rwanda).
WHO YOU ARE
- Bachelor’s degree in Data Science, Information Management, Computer Science, or a related field (Master’s degree preferred).
- Minimum of 7 years of experience in data architecture, data engineering, or a related role.
- Experience designing and implementing data architectures for enterprise environments, particularly building capabilities within an immature organization.
- Familiarity with project management tools, Microsoft Office Suite, and collaboration platforms.
- Proficiency in database design, data modelling, and data management technologies (e.g., SQL, NoSQL, data warehousing, data lakes).
- Experience with cloud data platforms, including Microsoft Azure.
- Hands-on expertise with ETL tools and data integration platforms.
- Strong analytical, problem-solving, and decision-making skills.
- Comfortable working flexibly and taking on a range of responsibilities to support their team.
- Excellent organizational skills, with the ability to prioritize competing demands, manage multiple projects simultaneously, and meet deadlines in a fast-paced environment.
- Excellent communication and interpersonal skills, with the ability to communicate effectively across a large, multi-cultural organization.
- Demonstrated commitment to the Foundation’s equity, inclusion, and social impact values, with a passion for driving positive change and empowering underserved communities globally.
Deadline for Applications is January 31, 2025.
WHO YOU ARE
- Bachelor’s degree, preferably in Computer Science, Electrical Engineering, Information Technology, or a related field.
- 7 years’ experience in data engineering, ETL development, or a related role.
- Comprehensive understanding of data pipeline development and data modeling principles.
- Comfortable developing and maintaining data pipelines using programming languages like Python and SQL to extract, transform, and load data from various sources.
- Familiarity/experience with cloud-based data warehousing and platform technologies (e.g. SQL server, Microsoft Azure DW/Data Lake, AWS Redshift, etc.) and their data services.
- Comfortable working flexibly and taking on a range of responsibilities to support their team.
- Excellent organizational skills, with the ability to prioritize competing demands, manage multiple projects simultaneously, and meet deadlines in a fast-paced environment.
- Excellent communication and interpersonal skills, with the ability to communicate effectively across a large, multi-cultural organization.
- Familiarity with project management tools, Microsoft Office Suite, and collaboration platforms.
- Demonstrated commitment to the Foundation’s equity, inclusion, and social impact values, with a passion for driving positive change and empowering underserved communities globally.
WHO YOU ARE
- Bachelor’s degree in Data Science, Information Management, Computer Science, or a related field (Master’s degree preferred).
- Minimum of 7 years of experience in data science and/or analytics, business intelligence, or a related role.
- Proven experience in a Data Science role, ideally with semi and unstructured data (e.g. paragraphs of text).
- Demonstrable skills in preparing, analyzing, and visualizing data, with experience in data visualization tools like PowerBI.
- Strong understanding of data science lifecycle methodologies.
- Experience working with Python or other scripting languages and SQL.
- Strong analytical, problem-solving, and decision-making abilities.
- Comfortable working flexibly and taking on a range of responsibilities to support their team.
- Excellent organizational skills, with the ability to prioritize competing demands, manage multiple projects simultaneously, and meet deadlines in a fast-paced environment.
- Excellent communication and interpersonal skills, with the ability to communicate effectively across a large, multi-cultural organization.
- Demonstrated commitment to the Foundation’s equity, inclusion, and social impact values, with a passion for driving positive change and empowering underserved communities globally.
Deadline for Applications is January 31, 2025.
N.B.
Applicants must follow the link and fill out the application form to be considered for the role.
You should read the vacancy announcement carefully, check the vacancy details, prepare your CV or Application details, and submit your application as instructed by the organization.
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