Data Scientist

Job Facts

Minimum Requirements

• Reporting and Visualization:
• Data-driven Decision Making:
• Data Governance and Security:
• Continuous Learning and Development:
• in GCP (Google Cloud Platform) and its products like LookerStudio, Colab and BigQuery.
• In this role, you will analyze complex data sets, create insightful visualizations, and work closely with stakeholders to develop solutions that support data-driven decision-making.
• You will be responsible for extracting insights, identifying trends, building predictive models and presenting findings to enhance operational efficiency and optimize business processes.
• The ideal candidate is analytically skilled, self-driven, adaptable to an unstructured management environment, and passionate about African business, with a sense of adventure and humor.
• and translate them into analytical approaches.
• 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.
• 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.
• 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.
• 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.
• Bachelor's or Master's degree in a relevant field ( Mathematics, Statistics, Computer Science, Data Analytics/Science)
• as a Data Scientist or in a similar analytical role, with demonstrated expertise in the credit industry.
• Proficiency in data analysis tools such as GCP (Google Cloud Platform), Google BigQuery, SQL, Python, and data visualization tools like Google LookerStudio.
• Strong analytical and problem-solving
• with keen attention to detail.
• Ability to handle and analyze large datasets efficiently.
• with statistical analysis techniques and data modeling.
• Excellent communication and presentation
• Proficiency in Microsoft Excel and other data manipulation tools.
• Familiarity with data governance principles and best practices.
• Knowledge of data privacy regulations and compliance standards is a plus
• Proven experience as a Data Scientist or in a similar analytical role, with demonstrated expertise in the credit industry.
• Strong analytical and problem-solving skills with keen attention to detail.
• Excellent communication and presentation skills.

Responsibilities

• Data Collection and Cleaning:
• Data Analysis and Interpretation:
• Reporting and Visualization:
• Data-driven Decision Making:
• Data Governance and Security:
• Continuous Learning and Development:
• Collect, extract, and compile data from various sources, ensuring accuracy and completeness.
• Clean, transform, and structure raw datasets for advanced analytics and predictive modeling.
• Identify and resolve data quality issues, inconsistencies, and anomalies.
• Utilize technologies such as SQL, Python, and BigQuery, while staying up-to-date with the latest trends and developments in data analytics.
• Perform exploratory data analysis to identify trends, patterns, and relationships within the data.
• Apply statistical techniques, data visualization and predictive modeling to generate actionable insights.
• Translate business problems into rigorous analytical frameworks and model designs.
• Build and maintain multiple predictive models end-to-end, from feature engineering to deployment-ready solutions.
• Implement robust validation frameworks and monitor models for performance, stability, and drift.
• Collaborate with stakeholders to understand business
• Collaborate with stakeholders to understand business requirements and translate them into analytical approaches.
• 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.
• 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.
• 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.
• 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.