Job description
Build and maintain a large scale data analytics infrastructure (systems, processes, people) to be used across Asante Finance Group(Kenya and emerging markets)
Consistently conduct research, design, implement, and validate cutting-edge data science algorithms in order to analyze diverse data sources that will assist to drive the desired business outcomes in diverse fronts
Translate business requirements into quick prototypes and enable the development of big data capabilities, frameworks, and data governance processes within Asante Finance
Assist in developing and implementing a program of continuous improvement of Business Intelligence processes through a cycle of analysis of existing systems, processes, and tools, identifying areas for improvement, implementing high-impact changes and getting feedback from Asante Finance stakeholders.
Develop and maintain documentation/manuals on data lineage, data integration and system configuration for Data Management systems
Provide input on the design of data extracts and static reports for external parties and statutory reports
Ensure that reports for external parties are checked, validated and signed off before circulation (example balancing to the GL, source to source checking)
Provide consultation and advice to business teams during the development of Data Models(for reporting, analytical or predictive purposes)
Secure Asante Finance Data Landscape (BI systems, reporting systems, data warehouse etc) by putting adequate controls and restrict access to data in the operational data stores, staging environment and data marts by users in accordance to the requirements of Asante Finance
Formulate measurable and data driven Key Performance Indicators that will drive Asante Finance performance measurement, reporting, and analytics across all business functions (weekly, monthly and yearly)
Engage in research activities that assist Asante Finance to get insights and indicators from external and market Data
Provide a weekly and a monthly Insights, Competition, Emerging trends and Performance Dashboard, whilst taking cognizance of observed and collected Data Metrics (to be presented to the CEO and the entire Asante Finance Management team)
Academic Qualification
Bachelor of Science, Statistics, Applied Mathematics or Information Systems from a recognized University
Work Experience
5 years or more experience in a similar role
Background in a quantitative discipline with focus on at least any one of the following fields: data analytics, machine learning, big data analytics, or computer science.
Extensive experience with Bash, GIT and Python IDEs.
Understanding of and experience with using Big Data techniques.
Experience of using a data warehouse and proficiency in SQL.
Working knowledge of information technology environments, administration, policies and processes.
Experience in R and/or Python.
Machine learning and predictive modelling experience.
