73 Geospatial Data jobs in India

• Acquire, process, and analyze large geospatial datasets from various sources, including satellite imagery, aerial photography, GPS data, and vector layers.
• Develop and implement advanced spatial analysis techniques to identify trends, patterns, and correlations.
• Utilize GIS software (e.g., ArcGIS, QGIS) and remote sensing tools for data manipulation, mapping, and analysis.
• Create compelling and informative data visualizations, maps, and dashboards to communicate complex spatial information to diverse stakeholders.
• Develop and maintain geodatabases and ensure data integrity, accuracy, and consistency.
• Collaborate with cross-functional teams to understand data requirements and provide spatial insights for projects.
• Automate repetitive geospatial workflows and data processing tasks using scripting languages (e.g., Python with libraries like GeoPandas, Rasterio).
• Conduct research and stay updated on the latest advancements in geospatial technologies, remote sensing, and data analytics.
• Prepare technical reports, presentations, and documentation for project deliverables.
• Contribute to the development of new analytical methodologies and best practices.
• Mentor junior analysts and provide technical guidance on geospatial projects.
• Ensure compliance with data privacy and security protocols.
• Effectively manage and prioritize multiple analytical tasks in a remote environment.

• Master's degree in Geography, Geomatics, GIS, Remote Sensing, Environmental Science, or a related quantitative field.
• Minimum of 5 years of professional experience in geospatial data analysis and GIS development.
• Advanced proficiency in GIS software (ArcGIS, QGIS) and strong experience with remote sensing principles and software (e.g., ENVI, ERDAS Imagine).
• Demonstrated expertise in spatial statistics, spatial modeling, and analytical techniques.
• Proficiency in Python for geospatial analysis (e.g., GeoPandas, Shapely, Rasterio, NumPy, Pandas) is essential.
• Experience with database management, including SQL and spatial databases (e.g., PostGIS).
• Strong data visualization skills and experience with tools like Tableau or Power BI is a plus.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to present complex findings clearly.
• Ability to work independently, manage projects effectively, and meet deadlines in a remote setting.
• Experience with cloud-based geospatial platforms (e.g., Google Earth Engine, AWS SageMaker) is beneficial.
• A proactive approach to learning new technologies and methodologies.

• Collect, process, and analyze large geospatial datasets relevant to mineral exploration and mining operations.
• Develop and apply advanced spatial analysis techniques to identify potential resource targets and geological structures.
• Interpret satellite imagery, aerial photography, and geophysical survey data to assess land conditions and mineral potential.
• Create detailed maps, visualizations, and reports to communicate findings to geologists, engineers, and management.
• Utilize GIS software (e.g., ArcGIS, QGIS) and remote sensing tools for data manipulation and analysis.
• Develop and maintain geodatabases and ensure data integrity and accuracy.
• Collaborate with geologists and other domain experts to integrate diverse data sources.
• Monitor environmental changes and land use patterns using geospatial technologies.
• Automate data processing workflows and develop scripts for efficiency gains.
• Stay current with emerging technologies and methodologies in geospatial analysis and mining.
• Provide technical support and guidance to the exploration and mining teams on geospatial matters.
• Contribute to strategic planning for exploration and resource development based on data-driven insights.

• Master's degree in Geology, Geosciences, Geography, Environmental Science, or a related field with a strong emphasis on GIS and remote sensing.
• Minimum of 4-6 years of experience in geospatial data analysis, specifically within the mining or natural resources sector.
• Proficiency in industry-standard GIS software (e.g., ArcGIS, QGIS) and remote sensing platforms.
• Experience with scripting languages (e.g., Python) for data automation and analysis is highly desirable.
• Strong understanding of geological principles, mineralogy, and exploration techniques.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to interpret complex spatial data and translate it into actionable business intelligence.
• Strong written and verbal communication skills for reporting and presentations.
• Demonstrated ability to work autonomously and manage projects effectively in a remote setting.
• Familiarity with data visualization tools.
• Knowledge of regulatory frameworks pertaining to mining exploration is a plus.

• Analyze and interpret satellite imagery, aerial photography, drone data, and other remote sensing data for mineral exploration and mine site monitoring.
• Develop and maintain geodatabases and spatial data models to support mining operations.
• Utilize GIS software (e.g., ArcGIS, QGIS) and specialized tools to create maps, visualizations, and reports.
• Perform spatial analysis to identify geological structures, mineral anomalies, and potential resource targets.
• Assist in the planning and management of exploration programs by providing data-driven recommendations.
• Monitor mine site activities, environmental impact, and reclamation progress using geospatial techniques.
• Collaborate with geologists, geophysicists, and mine engineers to integrate geospatial data into geological models and operational plans.
• Develop automated workflows and scripts for processing large volumes of geospatial data.
• Stay current with the latest advancements in remote sensing, GIS technology, and data analytics relevant to the mining industry.
• Communicate findings and recommendations effectively to both technical and non-technical stakeholders through clear reports and presentations.

• Bachelor's or Master's degree in Geology, Mining Engineering, Geography, Geosciences, or a related field.
• Minimum of 3-5 years of experience in a geospatial analysis role, preferably within the mining or exploration sector.
• Proficiency in industry-standard GIS software (e.g., ArcGIS Desktop/Pro, QGIS).
• Experience with remote sensing data processing and analysis techniques.
• Familiarity with geological and mining concepts.
• Skills in programming or scripting languages (e.g., Python with libraries like Geopandas, Rasterio) for automating geospatial tasks.
• Experience with database management, particularly spatial databases.
• Strong analytical and problem-solving abilities.
• Excellent written and verbal communication skills.
• Ability to work independently and manage time effectively in a remote setting.

Looking For ETL Data Analyst Having Experience in the Healthcare domain 

Total Exp - 5 to 10 yrs

Loc: Pune/Mumbai/Hyderabad/Bangalore/Chennai (5 days Working – WFO)

Healthcare business and data analysis

• Create source-to-target mapping based on requirements

• Create rules definitions and transformation logic

• Gather and prepare analysis based on information from internal and external sources to evaluate and demonstrate program effectiveness and efficiency, and problem-solving

• Developing scalable reporting processes and querying data sources to conduct ad hoc analyses/detailed data profiling.

• Assume responsibility for data integrity among various internal groups and/or between internal and external sources

• Proficient in SQL understands data modeling concepts and ETL

• Aware of or willing to learn key concepts of Kafka, Databricks, GitHub, Airflow, Azure storage to support DataOps incident remediation work

• Must have an aptitude for learning new data flows quickly and participate in data quality and automation discussions.

• Must be able to take end to end responsibility in quickly solving data issues in production setting and be comfortable in engaging customers as needed for issue resolution

Proficient in Business analysis, Data Analysis, Mapping data from one format to another, Healthcare data experience(must), SQL(must), Snowflake(preferred), Databricks(preferred), Kafka(preferred)

Undergraduate degree or equivalent experience

• 5 or more years of data analysis experience

• 5 or more years of systems analysis/requirement gathering experience

• 3+ year of Health Care/Claims data experience

• Assist in data collection and data entry processes.
• Perform data cleaning and preprocessing to ensure data quality.
• Conduct statistical analysis under the guidance of senior researchers.
• Create data visualizations to illustrate findings.
• Contribute to research reports and presentations.
• Learn and apply various data analysis techniques.
• Collaborate with team members on research projects.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of statistical concepts and methods.
• Familiarity with data analysis tools or programming languages (e.g., Excel, Python, R) is a plus.
• Strong analytical and problem-solving skills.
• Excellent attention to detail and organizational abilities.
• Good written and verbal communication skills.
• Ability to work effectively in a team environment.
• Must be available for the duration of the internship at our Chennai, Tamil Nadu, IN office.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis methodologies.
• Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R) is a plus.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is desirable.
• Excellent analytical, critical thinking, and problem-solving skills.
• Strong communication and teamwork abilities.
• Ability to work independently and manage tasks effectively in a remote setting.