Senior Data & Research Associate - FieldWorkz

Responsibilities:

• 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

Requirements:

• 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 to 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 related software packages
• Proven ability to develop user-friendly technical documents and reports
• Strong interpersonal, communication, problem-solving, organizational, and teamwork 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.).