Research Analyst at Bradfield Consulting

Our client is an NGO whose aim is to stop child abuse in Nigeria. We are currently looking for a highly motivated and capable staff member who will be working as Research Analyst.

The Research Analyst will work closely with the NGO's energetic and diverse staff to provide foundation executives, boards, and staff with data-driven insights to enhance the effectiveness of their work. write project reports and research proposals.

The ideal candidate will be a talented writer who can translate numbers into stories, or a strong data analyst who can write better each time.

RESPONSIBILITIES

• Gather and evaluate data in relation to ongoing projects
• Identify priority programme areas for implementation of organization’s mission and goals
• Design and implement survey and research study, execute fieldwork
• Process and analyze quantitative data
• Design and undertake qualitative study
• Write project reports and research proposals
• Prepares responses to internal and external requests for information and analysis;
• Collect and maintain information (data and reports) in a well-organized manner to support analyses and for further dissemination;
• Summarize and synthesize reports, articles, and research and share relevant information with the team
• Build and maintain on-going relationships with key stakeholders in government ministries, research organizations, NGOs, and other relevant organizations.

SKILLS AND COMPETENCIES

• Detail oriented, strong primary, secondary and on-line research skills
• Strong communications skills, comfortable working in team
• Previous international exposure/experience preferred
• Excellent management and organizational skills along with strong quantitative skills

EDUCATION AND EXPERIENCE

• Master or Bachelor degree in Economics, Statistics or related fields
• 3 years’ work experience in an NGO preferably with International Exposure
• Demonstrated proficiency in statistical analyses such as T-Tests, ANOVA, and Chi Squares is required.
• Demonstrated experience performing regressions will receive preferred consideration.
• Demonstrated ability to conduct quantitative analysis and synthesize findings into persuasive recommendations
• Proficient with Microsoft Excel and PowerPoint and experience with statistical packages (i.e. SPSS, SAS, STATA, R) desirable
• Effective verbal and written communication skills