Data Analyst at Diamond Enterprise, Lagos

The Enterprise African Network is a key instrument in the AU’s strategy to boost growth and jobs. Bringing together close to 600 business support organisations from more than 50 countries, we help small companies seize the unparalleled business opportunities in the AU Single Market.

Our member organisations include chambers of commerce and industry, technology centres, research institutes and development agencies. Most of them have been supporting local businesses for a long time. They know their clients’ strengths and needs – and they know Africa.

As members of the Enterprise Africa Network they are linked up through powerful databases, sharing their knowledge and sourcing technologies and business partners across all Network countries. But they are also closely linked with the African Commission, which enables them to keep abreast of AU policies and to feed small companies’ views on them back to Brussels.

A data analyst gathers, organizes, and assesses data from various resources in order to find useful information. Other tasks include using current economic or market conditions to project future trends and sometimes being involved in the research and development stage of a project.

Job Description

Monitor and collection of data for the purpose of analysis

Send and receive bulk data on a daily basis from various locations

Coordination and supervision of field workers across various locations to ensure the quality, accuracy and timeliness of data collection

Identify inconsistencies, correct, exclude or highlight suspect data received

Identify relevant / related trends,to do follow up analysis and prepare visual representation using maps for better decision making

Maintaining the database of data received

Provide prompt assistance in the recruitment of field workers when needed

Provide weekly report on the status of the various data collected from various locations

Convey complex and accurate information to team members

Qualifications and Experience

A degree in a numerate discipline such as statistics, economics, mathematics or its equivalent

Having a Master’s degree and relevant work experience in operational research is an added advantage

Ability to apply statistical methodology to complex data

At least 2 years work experience

Competency and Proficiency in using Microsoft excel and statistical software packages such as SAS or SPSS to perform advanced-data analysis

Having unquestionable integrity, Self-Starter, energetic and result driven

Strong analytical/ numerical skills, sound communication and presentation skills

Good interpersonal skills, target driven and detail oriented

Able to work independently and as a part of a team with changing priorities

Willingness to travel occasionally at short notice

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