Vacant Jobs at Unifi Group

About the role

• Unifi is looking for a Data Scientist with expertise in Python, Google Looker, and BigQuery to help turn complex data into insights that drive smarter decisions. In this role, you’ll collect, analyze, and interpret data, uncovering trends and delivering insights that shape business strategy.
• You’ll work closely with stakeholders to design impactful solutions, optimize processes, and improve overall performance.
• At Unifi, we value curiosity, simplicity, and bold ideas. If you’re self-driven, adventurous, and passionate about African business, this is your opportunity to make a real impact.

Responsibilities

Data Collection & Preparation

• Collect, extract, and compile data from multiple sources, ensuring accuracy and completeness.
• Clean and transform raw data into structured datasets for analysis.
• Identify and resolve data quality issues, inconsistencies, and anomalies.
• Work with SQL, Python, and BigQuery, while staying up to date with new trends and tools in data analytics.

Data Analysis & Insights

• Perform exploratory and statistical analysis to identify patterns, trends, and relationships.
• Use data visualization techniques to interpret and present findings clearly.
• Analyse large datasets to deliver actionable insights and recommendations.
• Support scorecard development, maintenance, testing, and reporting.
• Provide input into credit policy proposals and client limit management through data-driven analysis.

Business Decision Support

• Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
• Provide analytical support for initiatives such as market analysis, customer segmentation, and performance tracking.
• Identify opportunities to improve processes, drive efficiencies, and optimize revenue.

Continuous Learning & Development

• Keep up with best practices, emerging technologies, and industry trends in data science and analytics.
• Expand expertise in statistical analysis, data modeling, and visualization tools.
• Actively participate in professional development through training, workshops, and knowledge sharing.

Requirements

• Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or a related field.
• 3+ years’ proven experience as a Data Scientist or in a similar role, ideally within credit or financial services.
• Proficiency in GCP (Google Cloud Platform), BigQuery, SQL, Python, R, and data visualization tools such as Google Looker.
• Strong analytical and problem-solving skills, with the ability to work with large datasets.
• Experience in statistical analysis and data modeling.
• Excellent communication and presentation skills.
• Solid working knowledge of Microsoft Excel and other data manipulation tools.
• Familiarity with data governance and awareness of data privacy regulations is advantageous.

Closing Date 06 November 2025

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About the role

• Unifi is on the lookout for a talented Data Engineer with strong expertise in Google Cloud Platform (GCP) to join our fast-growing team. In this role, you’ll design, build, and maintain scalable data pipelines and architectures that power our business.
• You’ll collaborate closely with data scientists and analysts to ensure seamless data flow across the organisation, enabling smarter decisions and impactful solutions.
• We’re looking for someone who is analytically sharp, self-motivated, and thrives in an unstructured environment. A genuine passion for African business is a must—along with a healthy sense of adventure and a good sense of humour to match our dynamic culture.

Responsibilities

• Design and build scalable data pipelines and architectures using GCP technologies such as Dataflow, BigQuery, Pub/Sub, and Cloud Storage.
• Develop and manage ETL processes to transform diverse data sources into clean, structured formats for analysis and reporting.
• Partner with data scientists and analysts to understand their needs and deliver solutions that enable insights and decision-making.
• Create and maintain documentation for data pipelines, architecture, and data models to ensure clarity and consistency.
• Troubleshoot and resolve data-related issues quickly to minimise disruption.
• Continuously optimise data pipelines for performance, scalability, and cost efficiency.
• Automate workflows and processes through scripts and tools that streamline operations.
• Safeguard data quality and integrity across all sources, pipelines, and platforms.
• Stay ahead of the curve by keeping up with new GCP tools, best practices, and data engineering trends.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
• 5+ years’ experience as a Data Engineer or in a similar role.
• Strong programming skills in BigQuery, Python, SQL, and GCP.
• Proven expertise in ETL development and data modeling.
• Familiarity with data lakehouse concepts and techniques.
• Excellent problem-solving, analytical, and critical-thinking skills.
• Strong communication and collaboration abilities.
• Experience with Google Cloud Platform (GCP) technologies—especially BigQuery, with additional exposure to Dataflow, Pub/Sub, and Cloud Storage—considered highly beneficial.
• Background in financial services would be an added advantage.

Closing Date 06 November 2025

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Role Purpose 

• Unifi is recruiting a Data Analyst 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 statistical techniques, 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 Data Analyst 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.

Closing Date 06 November 2025