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Data Analyst

JOB SUMMARY

Company Agresearch Le...
Industry NGO/IGO/INGO
Category Science
Location Northern reg...
Job Status Full-time
Salary GH¢ 
Education Bachelor̵...
Experience 3 years
Job Expires Mar 17, 2022
Contact ...
 

Company Profile

Agresearch Lead is a firm with an extensive experience in project management, project evaluations, socio-economic research and surveys, Gender Equality and Social Inclusion (GESI), market research, M&E systems development and Organizational Development. The firm has deployed participatory tools and approaches and appropriate evaluation designs in assignment execution. We have successfully carried out assignments in the field of Agriculture, Child and Social Protection, GESI, climate change, Education, Public Health and Nutrition, WASH, Market research and Organizational Development using gender and youth inclusive approaches. We deduce guidance from our gender plan, data analysis plan, Data quality control protocols and key stakeholder engagement frameworks in our assignment delivery.  

Job Description

Agresearch Lead is a market research and evaluation firm which seeks the services of a Data Analyst for a baseline study on the production capacity of Honey and Beewax value chains in Northern Ghana. The data collection would be conducted in 3 selected CREMAs by engaging key stakeholders along the honey value chain

Job Location: Northern region

 

Job Description and outputs:

  • Data cleaning
  • Validation and cleaning of transcripts
  • Data Analysis based on the project objectives and indicators
  • Management of Data files
  • Submit cleaned datasets and analysis files to Agresearch
  • Submit progress reports to Agresearch

Required Skills or Experience

  • Bachelor’s degree with at least 3 years experience in data management or Masters degree with 1 or 2 years experience in quantitative and qualitative data management
  • Ability to use STATA or SPSS
  • Ability to link to biodata to key project indicators in the logical framework
  • Ability to clean data, create variable labels, analyze data and save all data files
  • Ability to work with minimum supervision

How To Apply

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