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

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.

Responsibilities

Key accountabilities and decision ownership:

Data Collection & Preparation

• Collect and extract data from GSM, M-PESA, Loan Management Platform, repayment and other relevant data sources.

• Clean, validate and structure data for Credit Product reporting and Credit Scoring.

• Identify and resolve missing, inconsistent, duplicated or incorrect data.

• Prepare standardized datasets for use by ML Engineers and Credit Scoring teams.

• Support onboarding and preparation of new internal and external data sources.

• Business Intelligence & Reporting
• Develop and maintain dashboards and reports covering Credit Product and portfolio performance.

• Track key metrics including applications, approvals, disbursement, utilization, repayment, delinquency, NPLs and recoveries.

• Support analysis of application funnel, conversion rate, approval performance and customer behaviour.

• Produce regular management and operational reports for Product, Portfolio and Credit teams.

• Support data preparation required for regulatory and management reporting.

Credit Scoring Data Support

• Extract and organize historical customer, transaction and repayment data required for model development.

• Prepare clean and consistent datasets for model training, validation and back-testing.

• Support creation and maintenance of variables and datasets used in Credit Scoring.

• Work with ML Engineers to investigate data quality issues affecting model performance.

• Support monitoring of scoring population, approval trends and portfolio outcomes.

Data Quality & Governance

• Perform regular data quality checks and reconciliation across source systems.

• Maintain clear definitions for reporting metrics, data fields and business rules.

• Document data sources, transformations and reporting logic.

• Ensure reporting and analytical data is consistent, traceable and reliable.

• Follow applicable data privacy, security and governance requirements.

Business Support & Analysis

• Provide data and analytical support to the Product & Portfolio Senior Manager and Credit Scoring Manager.

• Conduct ad-hoc analysis on customer segments, portfolio trends and product performance.

• Identify emerging trends, anomalies and performance issues requiring further investigation.

• Support product launches, pilots and changes through performance tracking and reporting.

Key performance indicator:

• Accuracy and timeliness of Credit Product reporting.
• Quality and completeness of datasets prepared for Credit Scoring.
• Data quality and reconciliation performance.
• Availability and reliability of dashboards and management reports.
• Timeliness of analytical support to Product, Portfolio and Credit Scoring teams.
• Reduction in data quality issues affecting reporting or model development.
• Successful preparation and integration of new data sources.
• Core competencies, knowledge and experience:

• 2 – 4 years of experience in Business Intelligence, Data Analytics, Reporting, Data Management or related roles.

• Strong experience in extracting, cleansing and structuring large datasets.

• Strong SQL and data analysis skills.

• Experience developing dashboards and management reporting.

• Good understanding of data quality, reconciliation and reporting controls.

• Strong analytical and problem-solving capabilities.

• Ability to translate business requirements into data and reporting outputs.

• Ability to work with both business and technical teams.

Qualifications

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. If 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.