
marufkhan507
Expert in questionnaire digitization, excel data entry, infographics
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Data Analyst
Helios Consultancy • Full time
Jun 2023 - Present • 3 yrs 3 mos
At Helios Consultancy, I work with researchers, NGOs, development organizations, and project teams to provide reliable, practical, and client-focused research and data management solutions. My experience includes designing and developing professional **KoboToolbox and XLSForm-based digital surveys** for research, NGO, M&E, baseline/endline, household, KAP, agriculture, livelihood, and development projects. I create both simple and advanced forms with **skip logic, relevance conditions, validation rules, calculations, cascading selections, multilingual support, GPS, image capture, and data quality controls**. I also support clients with **questionnaire digitization, survey programming, field data collection workflows, data cleaning, validation, and quality assurance**. My goal is to make every digital survey accurate, easy to use, and suitable for real-world field data collection. In addition, I work with **Microsoft Excel, SPSS, Jamovi, ArcGIS, and KoboToolbox** for data management, cleaning, analysis, visualization, and reporting. I have experience organizing and validating datasets, preparing analytical tables and charts, conducting statistical analysis, and supporting research reports with clear and meaningful findings. A key part of my work is understanding the client's requirements and converting complex research or project needs into **user-friendly, reliable, and efficient data solutions**. I pay close attention to data accuracy, logical consistency, usability, deadlines, and clear communication throughout each project. Through Helios Consultancy, I have developed a strong understanding of research and development-sector data workflows and have supported projects that require dependable digital data collection and evidence-based analysis. I believe in delivering more than just a technically correct product—I focus on providing solutions that solve the client's actual problem, reduce field-level errors, save time, and make data easier to manage and analyze.