DUTIES AND RESPONSIBILITIES:
Work directly with Heads of Departments and Users to gather requirements and prioritize data-driven projects that align with business goals.
Develop and maintain dashboards and reports using data visualization tools for clear communication.
Create detailed documentation of methodologies, processes, and findings to support transparency and knowledge sharing.
Conduct workshops and training sessions to enhance data literacy and the use of data in decision-making among employees as well as training on new reports and dashboards
Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which
areas need improvement in efficiency and productivity through analysis of complex datasets
Perform quarterly general system data audits, pre-graduation data audits, and data audits for the new intake, and share reports with the hierarchical supervisor.
Analyze member journey data to provide information for organizational learning and opportunities for leveraging data to drive business solutions/improvement of operations
Ensure systems and reporting structures provide appropriate portfolio and impact information and performance outputs to all levels of management.
Perform the role of database administration of the Core Banking System and User support.
Support the Partnership Department with ISA calculations and repayment analysis
Work on technical research projects, supporting the design of research studies, and survey instruments, and developing data monitoring systems in collaboration with the relevant departments.
Requirements
Educational Qualifications
Minimum Bachelor's Degree in Statistics, Data Science, Computer Science, IT or in other related fields
Technical Skills, Competencies, and Experience
Proven working experience of at least 3-5 years as a Data Analyst or Business Data Analyst and knowledge of Database Administration.
Knowledge of system reports design and development using reporting packages (Metabase, SAP Crystal Reports, Powerbi, Tableau,R, etc),
Strong knowledge of using statistical packages for analyzing datasets Advance (Excel, SPSS, SAS, etc)
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Knowledge about the RDBMS systems especially Oracle Database
Knowledge of structured query language (SQL)
Programming experience in (XML, Javascript, Python, or ETL frameworks) would be an added value.
Technical expertise in data models, database design development, data mining, and segmentation techniques
High-level experience in methodologies and processes for managing and handling large data sets and relational databases.
Strong experience in Data cleaning and Predictive Modeling
Ability to analyze existing tools and databases and provide software solution recommendations.
Ability to understand and manage stakeholder requests including ensuring a clear understanding of the ask and working with the wider team to ensure this is properly captured, impacted, and assessed
Demonstrates a strong work ethic and ability to take the initiative and ownership to deliver value to the business
Ability to work under pressure and meet tight deadlines.
Ability to work collaboratively with the team
Excellent written and oral communication skills in English
Benefits
21 days of annual leave, excluding national holidays.
Training, learning and development opportunities and financial support for further education.
Medical insurance/aid coverage and wellbeing initiatives.
A fulfilling work environment in a supportive and entrepreneurially driven organization with clear, frequent growth opportunities