Analyst – Business Intelligence (BI) (Internal/External)

Safaricom Telecommunications Ethiopia PLCAddis Ababa, Addis AbabaOn-siteFull-timeNew grad, 0–1 yearsListed 4 hours ago

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About this role

At Safaricom Ethiopia, we are a purpose-led technology company dedicated to transforming lives through digital connectivity and inclusive financial services. In less than five years, we have grown to serve over 15 million 90 days active customers, with our network now reaching 60% of Ethiopia’s population; a testament to our bold vision and trusted partnerships.

Guided by our core values of Customer Obsession, Innovation, Integrity, and Get It Done Together, we are building a dynamic, inclusive, and empowering workplace. We believe our greatest strength lies in our people. That is why, for three consecutive years, we have proudly earned the Top Employer Award. In addition, we have received the African Top Employer recognition for the first time, reflecting our unwavering commitment to fostering a supportive, innovative, and inclusive work environment.

Join Safaricom Ethiopia and be part of a team shaping the digital future of Ethiopia. Here, your work has meaning, your voice matters, and your growth is our priority. Together, we are transforming lives for a digital future.

Role purpose:

The role holder is responsible for collecting, extracting, cleansing, structuring and analyzing data required for Credit Product performance reporting, portfolio monitoring and Credit Scoring.

Reporting to the Credit Scoring Manager, the role prepares reliable and well-structured datasets from GSM, M-PESA, Loan Management Platform, repayment and other internal or external sources, ensuring data is ready for business reporting, portfolio analysis and credit scoring model development.

The role works closely with the Product & Portfolio team, ML Engineers and other Data & Technology teams to provide timely and accurate insights for Credit Product management and credit decisioning.

Must have technical / professional qualifications:

- Bachelor's degree in Data Science, Statistics, Computer Science, Information Systems, Economics or related field.
- Strong SQL skills and experience working with relational databases or data warehouses.
- Experience with BI and visualization tools such as Power BI, Tableau or equivalent.
- Good knowledge of Excel and analytical tools.
- Understanding of data transformation, cleansing and reporting processes.
- Good written and verbal communication skills in English.
- Desired
- Experience within Digital Lending, Banking, FinTech, Mobile Financial Services or Telecommunications.
- Experience working with GSM, mobile wallet, lending or transactional data.
- Basic knowledge of Python or other analytical programming languages.
- Understanding of Credit Scoring, credit portfolio management and lending performance metrics.

How to Apply. I f you feel that you are up to the challenge and possess the necessary qualification and experience, kindly proceed to create/ update your candidate profile on the recruitment portal and then Click on the apply button . Remember to attach your resume.