Job Openings at Safaricom Kenya

Detailed Description

Reporting to the Manager, Data Analytics Operations the position holder will offer leading expert solutions and technical guidance in administration, service provision and availability of all the Safaricom Business Intelligence and analytics systems.

Key Accountabilities:

• Coding and Support of all ETL and analytics processes used within the BI & Analytics systems
• Development and Support of reliable data ingestion and preparation processes
• Troubleshooting and support of highly scalable distributed big data systems, using different open-source technologies including but not limited to Hadoop services
• Design and development of front-end tier(s), middle tier(s), and /or back-end database tier(s) for business applications. Capturing of business applications information needs and mapping of the same to the software and /or database components
• Automate processes across BI ecosystem which enables self-healing and proactive monitoring.
• Perform root cause analysis on application and data related incidents
• Platform upgrade across all BI warehouse components both on front end, middle tier(s) and back-end tier(s)
• Possession of DBA skills is a plus. Performing routine DBA tasks including operation, troubleshooting & performance tuning
• Research and provide input on design approach, performance and base functionality improvements for various procedures and applications
• Generation of ideas to improve efficiency in software and application services offered to the business, and/or generate revenue for business
• Participation and membership in various technical fora for the purpose of increasing the collective knowledge base of the team

Job Qualifications:

• Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field
• Advanced scripting skills in UNIX/LINUX
• Advanced ETL knowledge in Informatica, SSIS, NIFI
• Oracle certification in database administration or application development
• Proficient in SQL for data analysis and manipulation
• Programming skills such as Java, Python, Scala
• Strong analytical and problem-solving skills
• Experience with cloud data services such as AWS redshift, S3

Last Date to Apply: Feb 7, 2023

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ROLE DESCRIPTION

Reporting to the CVM Manager - Financial Services, the role will be responsible for developing, implementing & optimizing the reporting framework that will drive the insights needed to improve performance and growth of Safaricom’s Financial Service’s Cluster. You will work in a squad focused on driving CVM performance increase by utilizing advanced analytics and statistics methods and modern tools like Qlik Sense, Adobe Analytics and Oracle.

ROLE RESPONSIBILITIES

• Lead in the development of daily, weekly and monthly Customer Value Management dashboards reports.
• Calculate various CVM related KPIs and interpret results and derive actions / facilitate decision making.
• Design and lead Financial Services’ Customer Segmentation, Targeting and Profiling program (Segments, Best Buy Products, Propensity).
• Manage and ensure proper data analysis, monitoring and reporting of dormancy of the Financial Services Customers both at overall level and product level.
• Forecast and measure the impact of Financial Services ATL and BTL Campaigns, Insights and recommendations for improvement.
• Monitor statistical models to identify Subscribers propensity to buy and propensity to churn.
• Provide in-depth and regular analysis of CVM initiatives and campaigns
• Present the recommendations to senior stakeholders in a clear and concise manner, both in verbal and written formats.
• Collaborate with the GTM Squad (Growth Managers), Mini App Squad and other Commercial Squads to improve the digital channel performance and growth.

QUALIFICATIONS

• Bachelor’s Degree in either Computer Science, Business Information Technology, statistical/analytical sciences or in a relevant field
• 3+ years of experience in Statistics/Analytics.
• Expert level skillset in SQL, Data Science Models is required.
• Analytical Mind-set
• Story telling/ Connect the dots
• Advance Data Wrangling/Visualization skills
• Presentation skills
• Innovative and creative.
• Strong interpersonal and people skills.
• High flair for numbers is a must

Last Date to Apply: Feb 8, 2023