About Unifi 

Unifi is redefining credit in Africa with simple, fast personal loans delivered through online, mobile and branch channels.  We make life easy for thousands of clients across Zambia, Kenya, Uganda and South Africa. Unifi has conviction in the African continent and its people, and our products enable our clients to achieve even more.  As one of the fastest-growing lenders in East Africa, we combine exceptional client service with the very best tech and data analytics.

Learn more about Unifi at:

www.unifi.credit/about

https://www.youtube.com/watch?v=eUrwaPmzU5E

https://www.youtube.com/watch?v=vl32BzxAHfA&t=26s

https://www.youtube.com/watch?v=_Gf1ZiFpfSc&t=188s

Role Purpose 

Unifi is recruiting a Full Stack Data Specialist to analyze complex data sets and deliver actionable insights that drive data-informed decisions. You will design and implement visualizations and solutions using GCP tools like Looker and BigQuery. You will collaborate with stakeholders to optimize processes, enhance efficiency, and support business growth across Africa.

Responsibilities

Data Collection and Cleaning:

• Collect, extract, and compile data from various sources, ensuring accuracy and completeness.
• Clean and transform raw data into structured datasets for analysis.
• Identify and resolve data quality issues, inconsistencies, and anomalies.
• Utilize technologies such as SQL, SAS, Python, and BigQuery, while staying up-to-date with the 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, 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 using Google Looker to effectively communicate data insights to stakeholders.
• Develop and maintain standardized reporting templates and data visualization tools.
• Present findings in a clear and concise manner, tailoring the information to the needs of the audience.

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 efficiency, and revenue optimization through 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 documentation.

Continuous Learning and Development:

• Stay updated on industry trends, best practices, and emerging technologies in data analysis.
• Expand knowledge of statisticaltechniques, data modelling, and data visualization tools.
• Participate in training programs, workshops, and professional development opportunities.

Requirements 

• Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Data Analytics, or a related field.
• Minimum of 5 years’ experience as a Full Stack Data Specialist or in a similar role.
• Proficient in GCP, Google BigQuery, SQL, Python, and data visualization tools such as Looker.
• Strong analytical, problem-solving skills, and attention to detail.
• Experienced in handling and analyzing large datasets efficiently.
• Skilled in statistical analysis, data modeling, and deriving actionable insights.
• Excellent communication and presentation abilities.
• Proficient in Microsoft Excel and other data manipulation tools.
• Knowledge of data governance principles and best practices.
• Understanding of data privacy regulations and compliance standards is a plus.