Field Data Analyst

Company Description MUS Global Services Pvt. Ltd. is a growing professional services organization focused on delivering reliable, data-driven solutions to clients across diverse sectors. The company emphasizes accuracy, integrity, and practical insights to support better decision-making and improved operational performance. Team members benefit from a collaborative work environment that values learning, field experience, and results-oriented thinking. MUS Global Services invests in building strong analytical capabilities and provides opportunities for interns to gain hands-on exposure and develop relevant professional skills. Role Description The Field Data Analyst internship is an on-site role based in Bihiya. Interns will collect data in the field, accurately record observations, and verify the quality and completeness of information gathered from various locations and stakeholders. Day-to-day tasks include conducting surveys or interviews, entering and organizing data, supporting basic analysis and reporting, and coordinating with supervisors to ensure project timelines are met. The role also involves documenting findings, flagging inconsistencies, and maintaining clear communication with the project team to support data-driven decision-making. This internship is designed to provide practical exposure to field operations, data handling, and structured reporting in a professional setting. Qualifications Strong observational skills and attention to detail for accurate data collection and recording.Basic data organization and analysis skills, including comfort with spreadsheets or simple data tools.Effective communication and interpersonal skills for conducting surveys and interacting with local stakeholders.Ability to work on-site in Bihiya, manage time well, and follow field protocols and project guidelines.Good written and spoken English; knowledge of local languages or dialects is an advantage.Interest in fieldwork, research, and data-driven projects; prior internship or project experience is beneficial.Enrollment in or completion of a degree in any discipline, preferably with a focus on statistics, social sciences, business, or related fields.Willingness to learn, adapt to changing field conditions, and adhere to ethical and confidentiality standards. .