Data Analyst

at  Unifi Africa

Unifi is a fast-growing finance and technology company operating in Zambia, South Africa, Uganda and Kenya. Unifi delivers personal lending products through online, mobile phone and branch channels. The company is well supported by strong shareholders and a board of directors with vast experience in entrepreneurship and lending.
Learn more about Unifi at:
www.unifi.credit/about
https://www.youtube.com/watch?v=vl32BzxAHfA&t=26s
https://www.youtube.com/watch?v=_Gf1ZiFpfSc&t=188s
Job Overview: As a Data Analyst, you will play a critical role in collecting, analyzing, and interpreting data to drive informed decision-making within our organization. You will be responsible for extracting insights, identifying trends, and presenting findings to key stakeholders. Your work will contribute to improving operational efficiency, optimizing business processes, and enhancing overall performance.
The ideal candidate will be responsible for analyzing complex data sets and creating insightful visualizations to help our organization make data-driven decisions. They will also work closely with stakeholders to understand their requirements and develop solutions that meet their needs.
The ideal candidate must be analytically adept, self-driven, able to flourish in an unstructured management environment and have a passion for African business. A healthy spirit of adventure and sense of humour would be helpful.

• Data Collection and Cleaning:
• Collect, extract, and compile data from various sources, ensuring data accuracy and completeness.
• Clean and transform raw data into structured datasets for analysis.
• Identify and resolve data quality issues, inconsistencies, and anomalies.
• Utilizing the technologies of SQL, SAS, Python and Big Query, while staying up-to-date with latest trends and developments in data analytics.
• Data Analysis and Interpretation:
• Perform exploratory data analysis to identify trends, patterns, and relationships within the data.
• Apply statistical techniques and data visualization methods to interpret and present findings.
• Analyse large and complex datasets to derive actionable insights and recommendations.
• Collaborate with stakeholders to understand business requirements and translate them into analytical approaches.
• Reporting and Visualization:
• Create visualizations, dashboards, and reports to effectively communicate data insights to stakeholders with help of Google Looker.
• Develop and maintain standardized reporting templates and data visualization tools.
• Present findings in a clear and concise manner, tailoring the information to the audience’s needs.
• Data-driven Decision Making:
• Collaborate with cross-functional teams to support data-driven decision-making processes.
• Provide analytical support for business initiatives, including market analysis, customer segmentation, and performance tracking.
• Identify opportunities for process improvement, operational efficiencies, and revenue optimization based on data analysis.
• Data Governance and Security:
• Ensure compliance with data governance policies, data protection regulations, and security protocols.
• Adhere to data privacy and confidentiality standards when handling sensitive information.
• Contribute to the development and maintenance of data dictionaries and data documentation.
• Continuous Learning and Development:
• Stay updated with industry trends, best practices, and emerging technologies in data analysis.
• Expand knowledge of statistical analysis techniques, data modelling, and data visualization tools.
• Participate in training programs, workshops, and professional development opportunities.