Job
Description
Work Type: Full-time Location: Multiple - Gurugram/Bengaluru/Nagpur/Remote Compensation (Yearly): ₹1,200,000 to ₹2,400,000 We are seeking only 30 days of official Notice period This role is located in Gurugram/Bengaluru/Nagpur Candidates willing to relocate are welcome to apply. Note: If shortlisted, we will reach out to you via WhatsApp and email. Please respond promptly. About The Client We are hiring on behalf of our client which is a fast‑growing, innovation‑focused boutique tech firm excelling in 5G, IoT, AI, and cloud, with a solid global footprint, strong industry recognition, and a collaborative, employee-first culture. If you're exploring partners in wireless or AI-driven engineering, they stand out as agile and tech-savvy. Job Role:- We are seeking an experienced Spatial Data Analyst to join our growing team. If you're passionate about data quality, spatial analysis, and collaborative problem-solving, this role is a perfect fit. Key Responsibilities Review spatial data files (CSV, GeoPackage) using FME or internal tools. Analyze dashboards to detect data quality issues, including: Text-related issues: missing/incorrect IDs, mismatched addresses, date errors. Spatial issues: overlaps, invalid boundaries, zero-area polygons, geometry errors. Classify issues based on type and severity for prioritization. Convert dashboard findings into clear, actionable tasks for the Operations team. Work with Data Engineers to update validation rules and enhance dashboard logic. Maintain validation reports and issue logs for audit and progress tracking. Provide recurring issue feedback and process improvement suggestions to local authorities. Collaborate with GIS teams for verification of complex spatial anomalies. Required Qualifications & Skills Education: B.E./B.Tech. or Bachelor’s in GIS, Data Analytics, or Computer Science. Experience: 4–6 years in spatial data QA/validation, preferably in public sector projects. Strong knowledge of spatial formats (Shapefile, GeoPackage, WKT, GeoJSON). Hands-on with tools like QGIS, ArcGIS, and FME. Show more Show less
