What you would be expected to do

• Turn data into insight, using statistical concepts and tools when appropriate, and communicate your findings effectively
• Provide support to the data science team and internal departments by responding to data requests and ensuring accurate translation of requirements
• Design a report template to improve effectiveness of analyses & visualisations
• Monitor portfolio health and regularly report on its performance
• Contribute to the testing and user acceptance process to ensure solutions are successfully implemented and meet business requirements

You might be a strong candidate if you

• Possess a bachelor’s Degree/HND in Statistics, with business related courses, or a similar quantitative field 
• Have 2-3 years of relevant (hands on) professional experience.
• Have an intermediate working knowledge of SQL
• Possess a basic proficiency in Python/R or any scripting language
• Demonstrate an advanced proficiency in Microsoft Excel
• The ability to communicate quantitative analyses to audiences with varying technical backgrounds
• Basic knowledge in applied statistics concepts to solve real business problems.
• Have a strong analytical, problem-solving, and time management skills
• Have experience using data visualisation software such as Looker, Tableau, Power BI an added advantage
• Good interpersonal skills to effectively communicate with developers within the team and the diverse mix of external stakeholders