Job title: Field Analyst Job Location: New York, NY Work Model: Onsite Desired Start Date: ASAP Project Duration: 10/25/2025 Max Rate: $20/hr W2 Job Summary: We are seeking a Field Analyst with 1 to 2 years of experience to support field services and data-driven decision-making. This hybrid role involves analyzing and interpreting geospatial data to optimize operations and contribute to strategic initiatives. The ideal candidate will combine technical expertise with strong communication and analytical skills. Required Skills: • Field Services • Geospatial Data Analysis Responsibilities: • Analyze geospatial data to identify patterns and trends that support project goals. • Collaborate with cross-functional teams to integrate geospatial insights into business strategies. • Create detailed maps and visualizations using advanced geospatial software. • Provide technical support in field services, ensuring data accuracy and reliability. • Develop and maintain geospatial databases for team accessibility. • Conduct quality control checks to ensure data compliance with standards. • Assist in building geospatial models and simulations for forecasting. • Communicate findings through clear reports and presentations for non-technical stakeholders. • Stay current with advancements in geospatial technologies and methodologies. • Support implementation of geospatial solutions to improve operational efficiency. • Contribute to process improvements in geospatial workflows. • Ensure data privacy and security compliance. • Participate in training sessions to enhance geospatial skills. Qualifications: • Bachelor’s degree in Geography, Geospatial Science, or a related field. • Proficiency in geospatial software such as ArcGIS, QGIS, or similar tools. • Experience in data analysis and visualization. • Strong problem-solving skills and attention to detail. • Excellent communication and collaboration abilities. • Ability to work independently and manage multiple tasks. • Understanding of field services operations and their integration with geospatial data.