Data Analyst

As a Data Analyst at Okoora, a global fintech company, you will leverage data to drive decision-making, optimize financial processes, and identify market trends

Your role involves performing data analysis, developing visualizations, and providing insights to support the company's mission in delivering innovative solutions in the dynamic fintech industry.

You will work closely with cross-functional teams to understand data requirements, conduct thorough analyses using statistical techniques, and create visualizations and reports to effectively communicate findings Your expertise in data manipulation, statistical modeling, and data visualization will contribute to identifying trends, optimizing processes, and driving business growth.

Responsibilities:

• Proficiency in data visualization tools such as Power BI to create interactive visualizations and dashboards.
• Strong knowledge of statistical analysis techniques, including hypothesis testing, regression analysis, clustering, and segmentation.
• Familiarity with data cleaning and preprocessing techniques to ensure data integrity and accuracy.
• Ability to perform exploratory data analysis (EDA) to identify trends, outliers, and anomalies.
• Experience with data mining techniques and machine learning algorithms to uncover insights and build predictive models.
• Strong analytical thinking and problem-solving abilities, with a keen attention to detail.
• Excellent communication and presentation skills to effectively convey complex data findings to both technical and non-technical stakeholders.
• Ability to work collaboratively in a team environment and manage multiple projects simultaneously.

Requirements:

• Bachelor's degree in a quantitative field such as mathematics, statistics, computer science, or a related discipline. A master's degree is a plus.
• Proven experience as a data analyst or in a similar analytical role.
• Strong knowledge of statistical techniques, data mining, and data visualization.
• Familiarity with data extraction, transformation, and loading (ETL) processes.
• Solid understanding of relational databases and SQL queries.
• Excellent problem-solving and critical-thinking skills.
• Strong attention to detail and the ability to work with large datasets.
• Effective communication skills to convey complex analysis results to non-technical stakeholders.