Data Analyst

The Data Analyst will work with the Software Engineering team reporting to the Release Train Engineer and will be responsible for conducting full lifecycle analysis to include requirements, activities and design. Will also develop analysis and reporting capabilities and monitor performance and quality control plans to identify improvements.

Key accountabilities:

Data Collection and Management

• Gather and validate data from various sources such as application logs, user interactions, and system performance metrics.
• Ensure the accuracy and completeness of the data collected.
• Designing, implementing, and maintaining efficient database schemas and ensuring data integrity.

Performance Analysis

• Software Performance: Use data to analyze the performance of software applications. Identify bottlenecks and potential vulnerabilities for areas of improvement in terms of processing time, memory usage, and other critical performance metrics.
• User Behavior Analysis: analyze how users interact with the software to identify patterns and trends to help in understanding user needs, enhancing user experience, and guiding feature development.

Simplify and Automate Data Assets:

• Develop models that predict future trends based on historical data.
• This could include predicting user behaviour, system failures, or load spikes.
• Create comprehensive dashboards and reports that provide insights into software performance, user behaviour, and other critical metrics.
• Create intuitive visual representations of complex data sets.

Collaboration and Communication.

• Work closely with software developers, product managers, UX designers, and quality assurance teams to provide data-driven insights and recommendations.
• Regularly present findings and insights to stakeholders in a clear and actionable manner, helping guide business and technical decisions.

Continuous Improvement and Experimentation.

• Design and analyze A/B tests to evaluate potential changes in the software application.
• Use data to validate the impact of new features or changes.
• Implement mechanisms to continuously learn from the data, applying insights to refine algorithms and improve software functionality

Quality Assurance Support

• Use data analysis to pinpoint defects or unexpected behaviour in software applications.
• Provide insights that help in creating more effective test cases and improving automation strategies.

Documentation and Compliance.

• Maintain clear documentation of data sources, methodologies, and analytics processes.
• Ensure that data handling and processing activities comply with relevant data protection regulations and company policies.

Core competencies, knowledge and experience:

• Demonstrated experience in data collection, data analysis, data visualization and data reporting and tools.
• Ability to prioritise data resources/assets and make data-driven decisions.
• Critical thinking, excellent communication, negotiation, stakeholder management and collaboration skills.
• Demonstrated good industry knowledge.
• Exposure/Interest in AI and machine learning.
• Experience working across multiple African markets, will be an added advantage.

Education & Experience:

• Bachelors degree in quantitative quantative fields like Mathematics, Statistics, Computer Science, Engineering, Data Analytics or related field; advanced degree preferred.
• Minimum of 5 years of experience in data analytics within the financial services or FinTech industry