Data Analysts at Diamond Enterprise Network

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 organizations from more than 50 countries, we help small companies seize the unparalleled business opportunities in the AU Single Market.

Our member organizations 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.

We are recruiting to fill the position of:

Job Title: Data Analyst

Location: Lagos

Job Summary

• 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.

Application Closing Date
9th May, 2015.

Method of Application
Interested and qualified candidates should please forward their CV's to: [email protected]