Senior Data & Research Associate: FieldWorkz - Khana Group

The Khana Group (TKG) is a leading social impact research and consulting firm with offices in West Africa and our headquarters in the United States. Our primary focus lies in West Africa, and the firm’s mission is to transform lives and create sustainable solutions across Africa by using data and cultural/local context to inform programmatic and policy decisions and develop strategies to increase social impact for clients and partners.

TKG works with non-profit and government clients across Africa, American and European commercial clients, INGOs, and international donor organizations. We have experience supporting development interventions on over 300 projects, in over 20 African countries.

Job Description

TKG developed FieldWorkz, an on-demand survey platform that crowdsources critical data through a network of trained and experienced data collectors and is seeking a Senior Data & Research Associate for FieldWorkz who has ICT experiences with technologies such as AI, Data Analytics & Visualization, Machine Learning, and IoT.

The Senior Data & Research Associate will have deep expertise with tools such as ODK, SurveyCTO, SurveyToGo, Survey Solutions, Magpi, etc., and understand scripting. We are looking for someone with 5 to 7 years of experience and a strong ICT and Research background, understanding of remote data collection, data collection tools, and is deeply experienced with analysis tools such as Python, R, SPSS, Stata, etc.  

Responsibilities and Tasks

• Manage and operationalize surveys and research in the field.
• Design and develop compelling data visualization (maps, charts, and graphs) and dashboards using data sets from various sources.
• Research and develop Artificial Intelligence (AI) utilization strategies for internal and external practices and procedures.
• Shape clients’ business objectives by interpreting, analyzing and synthesizing research data into meaningful and insightful quantitative reports/presentations.
• Collect and analyze data with rigor and integrity and curate insights that are concise and appropriately accessible to other audiences.
• Analyze quantitative data, interpret statistics and draft findings, including data visualization.
• Clearly communicate the results of analytical work to non-technical audiences in both written and oral communication.
• Collaborate with global research teams during quantitative project execution to ensure quality of results and communication delivered to clients.
• Contribute to marketing communications (e.g., blog posts, articles, webinars, and conference papers) specific to quantitative research methodologies.
• Collaborate with other team members and stakeholders, in-person and/or remotely.
• Maintain the highest level of data security and client confidentiality.

Required Skills or Experience

• Master’s degree in computer science, statistical studies, demography and any other field related data management and at least 5 years of experience in the field of database management and 3 years of experience working in the field of monitoring and evaluation and research 
• Exceptional with tools such as ODK, SurveyCTO, SurveyToGo, Survey Solutions, etc.
• Demonstrated expertise in at least one programming language relevant for numerical analysis (Strong preference for Python, R, SPSS, Stata, etc.).  
• Excellent computer skills: MS Excel, Access, SQL, DK/GRASP, NAS and Android tablets or phones
• Experience with using various types of Artificial Intelligence (AI) apps and bots for streamlining 
• Demonstrated expertise in managing and analyzing messy datasets and translating results into concrete and practical applications for non-research audiences.

• Good mapping and cartography skills
• Proficiency with data visualization tools (Tableau, Python, R, etc.).
• Experience in quantitative and/or qualitative data collection methodologies, and relating software packages
• Proven ability to develop user-friendly technical documents and reports
• Strong interpersonal, communication, problem-solving, organizational and team-work skills 
• Proficient in using MS Office projects and conducting internet research is required
• Ability to analyze, interpret, summarize data, communicate and present findings in ways understandable to decision-makers within the organization and externally.
• Proficiency with data visualization tools (Tableau, Python, R, etc.).
• Proficiency and understanding of various quantitative design and analysis tools (MPlus, SPSS Stata, R, etc.).