Data Analyst - Harare,Zimbabwe

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This role involves the management of the full data lifecycle including scoping projects, mining, and cleansing data, running analysis, and reporting back on insights
The primary role of the Data Analyst will be to turn data into information, information into insight and presenting the insight in a manner that significantly aids to the process of making operational and strategic business decisions
The responsibilities of the Data Analyst will cut across the Group functions (agri inputs, production, marketplace, end-to-end logistics and real estate) and will involve analysing and modelling data from multiple data sources and triangulating the data with information obtaining in the business environment
The analyst is expected to generate infographics, maps, tables, storyboards, and graphs to share with various group business functions as data users
Design a routine data analysis plan for the company and maintain the database
Mine large datasets from multiple sources using appropriate statistical methods and software applications. Identify salient data patterns, perform complex analysis, and interpret insightful models, trends, patterns coming from the data to business functions
Develop innovative and appropriate data visualisation methods to convey key performance and insightful trends to business functions
Produce high quality reports and presentations based on accurate and verified data for management use
Maintain quality data services by establishing and enforcing organisation standards
Processing confidential data and information according to organisational guidelines
Investigate ad hoc queries and assist in data interpretation and presentation

Key Skills
Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information to a level understood by various data users
Strong analytical skills and understanding of system databases, data elements, and application software solutions to maximize data gathering, cleaning, analysis, and presentation
Demonstrate exceptional skills in handling a variety of data requests, including completing tasks under tight deadlines
Knowledge of data visualization
Demonstrates good communication skills
The individual must be a creative thinker, self-confident and can apply statistical methods to complex datasets to drive operational and strategic decision-making within the business