19 Geospatial Data Jobs

We are seeking a skilled QA / Data Engineer with 3-5 years of experience. As the ideal candidate, you will possess expertise in manual testing and SQL, along with knowledge in automation and performance testing. Your primary responsibility will be to ensure the quality and reliability of our data-driven applications through comprehensive testing and validation. Key Responsibilities: - Utilize extensive experience in manual testing, particularly in data-centric environments. - Demonstrate strong SQL skills for data validation, querying, and testing database functionalities. - Implement data engineering concepts, including ETL processes, data pipelines, and data warehousing. - Work with Geo-Spatial Data to enhance data quality and analysis. - Apply QA methodologies and best practices for software and data testing. - Utilize effective communication skills for seamless collaboration within the team. Desired Skills: - Experience with automation testing tools and frameworks (e.g., Selenium, JUnit) for data pipelines. - Proficiency in performance testing tools (e.g., JMeter, LoadRunner) to evaluate data systems. - Familiarity with data engineering tools and platforms (e.g., Apache Kafka, Apache Spark, Hadoop). - Understanding of cloud-based data solutions (e.g., AWS, Azure, Google Cloud) and their testing methodologies. Qualifications: - Bachelor of Engineering - Bachelor of Technology (B.E./B.Tech.) In this role, you will play a crucial part in ensuring the quality of our data-centric applications by conducting thorough testing and validation processes. Your expertise in manual testing, SQL, ETL processes, data pipelines, data warehousing, and additional skills in automation and performance testing will be key to your success. Join our team in Bengaluru/Gurugram and contribute to the reliability and efficiency of our data-driven solutions.,

You are a Data Collection Specialist with expertise in LiDAR technology, Python programming, and hands-on field experience. Your main responsibility is to collect, process, and analyze geospatial data to ensure high-quality deliverables for various projects. This role involves technical fieldwork, data handling, and programming primarily in Python to facilitate accurate data capture and analysis. You will operate LiDAR equipment and sensors in the field for accurate geospatial data collection. Additionally, you will set up, test, and maintain equipment such as UAVs, LiDAR scanners, and GPS units to ensure proper operation for data collection tasks. Post-processing raw LiDAR data and integrating it into GIS systems is also part of your responsibilities, ensuring data integrity and accuracy. You will develop and utilize Python scripts to automate data processing tasks, enhance workflows, and perform data quality checks. Collaborating with teams of geospatial engineers, surveyors, and field technicians to collect data from multiple project sites is essential. You will prepare reports and maintain documentation for all data collection activities to ensure transparency and traceability. Monitoring the quality and completeness of data collected, troubleshooting any equipment or software issues in real-time, adhering to field safety protocols, and ensuring compliance with industry regulations and project guidelines are crucial aspects of the role. You should have a Bachelor's degree in Geospatial Science, Engineering, Surveying, or a related field, along with 2+ years of experience with LiDAR systems, data collection, and processing. Proficiency in Python programming for data processing and automation, experience in field technician duties, and familiarity with LiDAR data collection and post-processing software are required. Strong knowledge of Python and geospatial libraries, understanding of GIS systems and tools, and soft skills such as attention to detail, problem-solving, and excellent communication skills are essential for this role. LiDAR Technician Certification, Python Programming Certification, and UAV Pilot Certification are preferred but not required. This position involves frequent travel to project sites, including outdoor environments and various weather conditions. Fieldwork may require physical activity, including lifting and carrying technical equipment. You will receive a competitive salary and benefits package, opportunities for professional development and certification, and the chance to work on cutting-edge projects in geospatial data and technology.,

We are looking for a skilled DGPS Operator to join our team at Droid Survair. As a DGPS Operator, you will have a crucial role in collecting accurate geospatial data using Differential Global Positioning Systems (DGPS). Your main responsibilities will involve setting up and calibrating equipment, conducting field surveys, and processing and analyzing data. If you have prior experience in DGPS operations, possess strong analytical skills, and have a keen interest in mapping and surveying, we are excited to have a conversation with you! This is a full-time, permanent position suitable for freshers. The benefits include food provided, and the work schedule is during the day shift. In addition, there is a performance bonus offered. Candidates must be willing to commute or relocate to Nagpur, Maharashtra before starting work. Reliability in commuting or planning to relocate is a mandatory requirement for this role.,

As an ideal candidate for this role, you should possess hands-on experience with the ESRI stack, including ArcGIS Enterprise, ArcGIS Server, and ArcGIS Desktop. Your proficiency should extend to working with ArcObjects, ArcGIS Runtime, and their associated APIs or interfaces. Additionally, you should have a strong background in web application development using tools such as Angular, ArcGIS JavaScript API, and ArcPy, along with experience in integrating with third-party applications. Your responsibilities will include ESRI Administration in a Linux environment, involving tasks such as patching, upgrading, publishing content, and user management. You should also be adept in working with ArcGIS Pro, ESRI Story Maps, and Experience Builder. Custom development skills using Angular, ArcGIS JS API, and integration with third-party applications like NOAA and Windy API are essential. Experience in web development using the Leaflet API is also beneficial. Furthermore, you should have experience in handling geospatial data, both vector and raster, in databases such as Postgres or NoSQL. Your expertise should encompass dealing with various raster data formats, including multidimensional raster data like NetCDF and GeoTiff. Overall, this role requires a strong technical background in ESRI technologies, web development, and geospatial data handling, making you a valuable asset to the team.,

As a Senior Software Engineer at PierSight Space, a Space Technology company with a presence in Ahmedabad, California, and Bangalore, you will be an integral part of our pioneering team on a mission to build the world's largest constellation of Synthetic Aperture Radar and AIS satellites for comprehensive ocean surveillance. With the support of prestigious institutional investors like Alphawave Global, Elevation Capital, All in Capital, and Techstars, we are poised to make a significant impact in the industry. Your role will involve leading the development of our Maritime Tracking and Analysis software, requiring a deep understanding of full-stack web development, geospatial data, Docker, Kubernetes, and product management. Cloud certifications would be an added advantage. Key Responsibilities: - Architect the full Maritime Analysis and Tracking System to meet business needs and technical requirements. - Manage the product development lifecycle from concept to delivery. - Lead and manage a team of developers, providing technical guidance and support. - Ensure timely delivery of the product within scope and quality standards. - Collaborate with cross-functional teams to ensure seamless integration and alignment with business objectives. - Create detailed product specifications and technical documentation. - Make decisions on technology stacks and architectural patterns. - Oversee the implementation of product features and ensure quality control. Key Skills And Qualifications: - 4-6 years of full-stack web development experience. - Strong understanding of building and managing geospatial data. - Proficiency in Docker and Kubernetes. - Solid grasp of product management principles. - Cloud certifications (AWS, Azure, Google Cloud) are advantageous. - Excellent problem-solving capabilities and analytical thinking. - Strong communication and leadership abilities. - Ability to thrive in a fast-paced, dynamic environment. Preferred Qualifications: - Experience in maritime or geospatial software development. - Knowledge of cloud-based image production pipelines and data processing workflows. Why Join Us: - Be part of a cutting-edge technology startup revolutionizing maritime surveillance. - Work with a dynamic and passionate team of professionals. - Opportunity to lead and shape the development of innovative software solutions. - Competitive salary and benefits package.,

As a Data Analyst specializing in Data Visualization & Reporting, you will be responsible for working with large datasets obtained from various inspection sources such as LiDAR, drones, and thermal imaging. Your primary tasks will include building insightful dashboards and reports using tools like Power BI, Tableau, or Looker. Additionally, you will be involved in developing and deploying predictive models and statistical analyses to detect anomalies and prevent failures. Collaboration with engineering and operations teams will be crucial as you translate complex data into operational insights. Ensuring high-quality, clean, and consistent data through the implementation of validation pipelines will be part of your routine. You will also leverage basic electrical domain knowledge for enriched interpretations, focusing on fault detection, insulator/conductor analysis, and more. Furthermore, your role will involve continuously improving analysis workflows and automating repetitive data processes. To excel in this position, you should have at least 3 years of hands-on experience as a Data Analyst/Data Scientist. Proficiency in SQL, Python (Pandas, NumPy), or R for data manipulation is essential. Strong skills in data visualization tools like Power BI, Tableau, or Looker are required, along with experience in working with time-series data or sensor-based data from industrial sources. Exposure to predictive analytics, ML algorithms, or data modeling techniques will be beneficial. A solid understanding of data pipelines and best practices in data management is necessary. Familiarity with AWS/Azure/GCP for data processing is a plus, and background or familiarity with geospatial data or tools like QGIS is considered a bonus. Preferred qualifications for this role include a degree in Data Science, Engineering, or Computer Science, as well as prior experience with inspection data, IoT, or utilities/power transmission systems. Knowledge of domain-specific platforms used for power line inspections and certification in data analysis/ML platforms like Google Data Analytics or Microsoft DA will be advantageous. In addition to technical skills, soft skills such as strong analytical thinking, attention to detail, and the ability to convert technical findings into business-focused insights are essential. Being a team player with cross-functional collaboration experience and effective written and verbal communication skills will contribute to your success in this role.,

Pre-Sales and Marketing experience within THE GEOSPATIAL (GIS) industry is must. KEY RESPONSIBILITIES: Customer outreach in both Public and Private sectors through offline and online channels. Handling tendering processes, BD activities and preparing high-quality proposals. Extensive travel within India for business development and pre-sales activities. Effective communication in both Hindi and English (written & spoken). Strong presentation and negotiation skills.

You are a skilled QA / Data Engineer with 3-5 years of experience, joining a team focused on ensuring the quality and reliability of data-driven applications. Your expertise lies in manual testing and SQL, with additional knowledge in automation and performance testing being highly valuable. Your responsibilities include performing thorough testing and validation to guarantee the integrity of the applications. Your must-have skills include extensive experience in manual testing within data-centric environments, strong SQL skills for data validation and querying, familiarity with data engineering concepts such as ETL processes, data pipelines, and data warehousing, experience in Geo-Spatial data, a solid understanding of QA methodologies and best practices for software and data testing, and excellent communication skills. It would be beneficial for you to have experience with automation testing tools and frameworks like Selenium and JUnit for data pipelines, knowledge of performance testing tools such as JMeter and LoadRunner for evaluating data systems, familiarity with data engineering tools and platforms like Apache Kafka, Apache Spark, and Hadoop, understanding of cloud-based data solutions like AWS, Azure, and Google Cloud, along with their testing methodologies. Your proficiency in SQL, JUnit, Azure, Google Cloud, communication skills, performance testing, Selenium, QA methodologies, Apache Spark, data warehousing, data pipelines, cloud-based data solutions, Apache Kafka, Geo-Spatial data, JMeter, data validation, automation testing, manual testing, AWS, ETL, Hadoop, LoadRunner, ETL processes, and data engineering will be crucial in excelling in this role.,

Job Summary Graduate (Btech / BSc/ BCA / Geospatial/ Geography ) Be extremely flexible willing to adapt to business requirements Flexible in relation to shift pattern times GIS Mappings tools and SWs Good to have Bachelors Masters certificate courses in Geospatial Technology Sound image and map data layers interpretation skills Able to demonstrate skills pertaining to digitization and updating of Vector map layers Responsibilities Understand Interpret features on satellite and aerial imageries with good acumen Digitize and update vector map layers Perform QA and QC on Map layers Vector and Raster Maintain a high level of accuracy by taking proper action decision on each case Follow all compliance and security measures relating to client data Adhere to process quality metrics and strive to exceed the monthly annual quality productivity targets Adhere to process norms and structure Should be Technology savvy with fair understanding of maps and related products tools especially navigation Understanding of Remote sensing and GIS technology will be an added advantage

Role & responsibilities Job Summary: We are seeking a detail-oriented and technically skilled Geospatial Data Delivery Analyst to support and manage the delivery of scheduled geospatial data to our customers. This role involves a combination of automated and manual data processing tasks, ensuring quality assurance and adherence to documented procedures. The ideal candidate will bring strong analytical skills, a keen eye for data accuracy, and proficiency in tools such as FME. Key Responsibilities: Manage and execute scheduled geospatial data deliveries to customers, including both automated and manual processes. Perform quality assurance (QA) checks on automated data outputs to ensure accuracy and consistency. Follow well-documented procedures for manual data delivery, ensuring timelines and data integrity are met. Work with various geospatial data types, ensuring appropriate handling, transformation, and formatting as per client requirements. Utilize FME (Feature Manipulation Engine) for geospatial data transformation and workflow automation. Communicate effectively with internal teams and external customers regarding data delivery schedules, issues, and resolutions. Identify and troubleshoot errors or inconsistencies in geospatial datasets and escalate when necessary. Contribute to process improvement by documenting issues, suggesting optimizations, and supporting automation initiatives. Required Qualifications & Skills: Bachelors degree in GIS, Geography, Computer Science, or a related field (or equivalent practical experience). Proven experience with FME and working with geospatial data types (e.g., shapefiles, GeoJSON, raster data). Strong analytical skills with a meticulous approach to data QA and validation. Excellent communication skills , both written and verbal, to coordinate across teams and with clients. Ability to follow structured processes while also identifying opportunities for automation and efficiency. Preferred Skills (Nice to Have): Familiarity with GIS platforms such as ArcGIS or QGIS. Experience with scripting or automation tools (e.g., Python, SQL) in a data processing context. Understanding of data delivery workflows in cloud or enterprise environments. Why Join Us? Work on impactful projects that support clients with critical geospatial data. Join a collaborative and forward-thinking team. Opportunity to grow with cutting-edge tools in geospatial data automation and delivery.

Prepare, update, & manage technical drawings AutoCAD 3D Work utility projects, particularly related electrical infrastructure Utilize GIS tools and field maps for data collection, updates, and visualization Collaborate with engineering and GIS teams Required Candidate profile Strong command over AutoCAD 3D and related drafting tools GIS, field maps, &geospatial data workflows Exp with ArcGIS will be an added advantage Exp working on electrical utility projects mandatory Perks and benefits Perks and Benefits

Role & responsibilities: Lead Generation & Prospecting Identify and qualify new business opportunities in the geospatial domain. Research potential markets, clients, and partnerships within government and private sectors. Client Relationship Management Build and nurture long-term relationships with existing and prospective clients. Serve as the primary point of contact for strategic client accounts and key stakeholders. Proposal & Bid Management Prepare business proposals, RFP responses, and presentations tailored to client needs. Collaborate with the technical team to scope project requirements and deliverables. Market Research & Competitor Analysis Monitor trends in the geospatial and AEC sectors. Analyze competitors offerings to position MAPe ITs services effectively. Revenue & Target Achievement Meet or exceed quarterly and annual sales targets. Track and report key metrics to the leadership team. Strategic Planning Develop and implement growth strategies for services such as GIS, LiDAR, Photogrammetry, CAD, and Scan-to-BIM. Attend industry events, trade shows, and conferences to represent the company. Collaboration with Technical Teams Liaise with project and technical teams to ensure proper execution of client requirements. Translate client needs into actionable tasks and deliverables. Preferred candidate profile: Educational Background : M.Sc. in Geology or Geography B.E. in Geoinformatics, Civil Engineering, or Remote Sensing Industry Experience : 5–10 years of hands-on experience in business development roles within Geospatial Surveying , GIS , AEC , or Remote Sensing industries. Technical Skills : Strong knowledge of GIS platforms like ArcGIS , QGIS Proficiency in LiDAR processing, photogrammetry tools (e.g., Pix4D, Agisoft Metashape) Understanding of CAD and BIM tools and workflows Communication Skills : Excellent English and Hindi communication (verbal & written) Comfortable presenting technical content to non-technical stakeholders and senior executives Other Attributes : Self-motivated, with strong negotiation and presentation skills Ability to work independently and within cross-functional teams Willingness to travel for client meetings, project coordination, and events

We are looking for Geospatial AI Engineer (Satellite, Drone & LiDAR Data Processing) Location - Mumbai. (WFO). Role Overview: We are looking for a Geospatial AI Engineer with hands-on experience in processing satellite, drone, and LiDAR data and deploying AI models for geospatial applications. The ideal candidate should have expertise in remote sensing, deep learning, and scalable AI deployment for real-world geospatial use cases. Key Responsibilities: - Geospatial Data Processing: Preprocess and analyze satellite, drone, and LiDAR datasets using GIS and remote sensing tools. - AI Model Development: Build, train, and fine-tune AI models for object detection, segmentation, land use classification, and anomaly detection in geospatial data. - Model Deployment & Optimization: Deploy geospatial AI models on cloud (AWS/GCP) and edge devices (Jetson, embedded systems), ensuring scalability and efficiency. - Geospatial Visualization: Utilize GIS tools (ArcGIS, QGIS, Google Earth Engine) to visualize and interpret model outputs. - Data Pipeline Automation: Develop end-to-end pipelines for geospatial AI workflows, integrating cloud storage, inference, and post-processing. - Collaboration: Work with GIS specialists, remote sensing experts, and software engineers to develop production-ready AI solutions. Required Skills: - Remote Sensing & GIS: Hands-on experience in processing and analyzing satellite, drone, and LiDAR data. - AI/ML for Geospatial Data: Proven experience in deep learning frameworks (TensorFlow, PyTorch) for geospatial applications. - Programming: Strong Python skills (Geopandas, Rasterio, OpenCV, PyTorch/TensorFlow). - Geospatial Data Processing: Experience with GDAL, PDAL, Google Earth Engine, and spatial databases (PostGIS). - Model Deployment: Hands-on experience deploying AI models on AWS/GCP/Azure and edge devices like NVIDIA Jetson. - End-to-End AI Solutions: Prior experience in deploying and maintaining geospatial AI models in real-world applications. Preferred Experience: - Proven track record of deployed models for land use classification, vegetation classification, deforestation monitoring, infrastructure mapping, flood prediction, etc. - Experience in optimizing AI models for real-time inference on cloud and edge computing platforms. - Exposure to hyperspectral/multispectral imagery and SAR data processing. - Knowledge of MLOps for managing geospatial AI pipelines. Education & Qualifications: Bachelor's/Masters degree in Computer Science, GIS, Remote Sensing, AI/ML, or a related field. 3+ years of industry experience with hands-on model deployment.

FarmwiseAI is an AgriTech company leveraging AI-driven solutions to optimize farm management, empowering farmers with data-driven insights for sustainable agriculture. We seek a Senior Data Scientist to drive AI/ML initiatives, collaborating with cross-functional teams to develop AI-powered solutions. Responsibilities include developing and optimizing ML models for predictive analytics and image processing, working with large agricultural datasets such as satellite and drone data, deploying models into production, ensuring scalability, staying updated on AI/ML advancements, and mentoring junior team members. Candidates should have a Masters or PhD in Data Science, Computer Science, or a related field, with 5+ years of experience in AI/ML and at least 2 years in a leadership role. Technical skills required include Python, TensorFlow, PyTorch, Scikit-Learn, and experience with cloud platforms (AWS/GCP/Azure), with GIS knowledge being a plus. Strong problem-solving, communication, and leadership skills are essential.

Job Title: ArcGIS Geospatial Analyst Job Location: Hyderabad No. of positions: 05 Project Duration: Long term Experience Needed: 3 - 5 Years Key Responsibilities: Analyze and interpret geographic and spatial data using ArcGIS Pro , ArcGIS Online , and related tools Design and implement spatial models, overlays, and geostatistical analyses to support decision-making Produce high-quality maps, dashboards, and data visualizations for internal and external use Integrate and process spatial data from a variety of sources including GPS, satellite imagery, CAD, and open data portals Automate geospatial processes and analysis workflows using Python (ArcPy) , ModelBuilder , or SQL Maintain geospatial data accuracy, metadata standards, and documentation protocols Collaborate with cross-functional teams including engineers, planners, and data scientists Present spatial findings through reports, visualizations, and briefings to stakeholders Required Skills & Qualifications: Bachelors or Masters degree in GIS, Geography, Environmental Science, Urban Planning, Data Analytics, or a related field Minimum 3 years of professional experience performing geospatial analysis with ArcGIS Strong proficiency in geospatial concepts including projections, geoprocessing, and cartographic design Experience with spatial statistics, raster analysis, and vector modeling Working knowledge of scripting languages: Python , SQL , or R (for spatial data manipulation) Excellent analytical thinking, attention to detail, and communication skills Ability to work both independently and as part of a collaborative team Preferred Certifications: Esri Technical Certification (e.g., Geospatial Analyst Professional , GIS Desktop Associate ) GISP (Certified GIS Professional) highly valued Familiarity with open-source GIS (e.g., QGIS, GDAL), remote sensing, or cloud-based GIS platforms is a plus Job REF Code: GIS_GSA_0525 EMAIL ID: spectrumconsulting1985@gmail.com Please Email Your CV with Job REF Code [ GIS_GSA_0525 ] as subject

Role Overview: We are seeking a skilled and analytical Climate Risk Analyst to join our sustainability team. In this role, you will apply NGFS and IPCC frameworks to evaluate and quantify both physical and transition climate risks across diverse client portfolios. You'll build probabilistic models, design stress-testing scenarios, and integrate datasets ranging from GIS layers to supply-chain metrics. Partnering with finance, operations, and data engineering teams, you'll translate complex climate trajectories such as carbon pricing, regulatory shifts, and technology adoption into clear, actionable insights and robust risk-management strategies that help our clients enhance resilience and capitalize on emerging opportunities. Key Responsibilities: Conduct climate risk assessments using NGFS and IPCC frameworks to identify client-specific risks and opportunities Develop and execute stress-testing scenarios to evaluate climate impacts on financial portfolios Collect, clean, and integrate diverse datasets (e.g., geospatial layers, historical weather records, supply-chain metrics) Build probabilistic models to quantify hazard frequency, exposure, and vulnerability at the asset and portfolio levels Parameterize transition-risk factors (carbon-pricing trajectories, regulatory changes, technology adoption rates) across multiple climate pathways Collaborate with cross-functional teams to produce comprehensive reports and presentations on climate risk management strategies Translate quantitative findings into clear recommendations for risk mitigation and opportunity capture Required Skills: Strong understanding of physical and transition climate-risk concepts and frameworks (NGFS, IPCC) Proven experience in stress-testing and scenario analysis within a financial or risk-management context Proficiency in statistical and probabilistic modeling techniques (e.g., Monte Carlo simulation) Hands-on experience with data integration and analysis tools (Python/R, SQL, GIS software) Familiarity with cloud-based data platforms and ETL pipelines Excellent quantitative and analytical abilities, with strong attention to detail Exceptional communication skills, able to distill complex analyses into concise, client-ready insights Proven ability to work collaboratively in cross-disciplinary teams Perks and Benefits: Work on a ground-breaking product that significantly contributes to sustainability Exposure to advanced AI tools and methodologies to enhance your development skills and productivity Competitive salary with a comprehensive benefits package Flexible work arrangements A vibrant, inclusive, and supportive team environment Opportunities for professional growth and continuous learning

Senior Subsea Surveyor The Senior Subsea Surveyor is a team member of the Subsea, Civil, and Marine Engineering team within ENGINE Center and provides deep technical expertise in land C hydrographic survey C positioning principles, data collection, processing and quality control. This role requires knowledge in applying geospatial processing and visualization packages such as: ESRI Geographic Information Systems (GIS), EIVA, AutoCAD, Cyclone, etc. to derive valuable insight for our business. The successful candidate will need to have a strong core knowledge on the application of coordinate reference systems, transformations, and vertical datums. The successful candidate will be responsible for advising Upstream Major Capital Projects (from concept development to commissioning), Base Business Subsea Operations, Downstream Manufacturing Facilities development C maintenance operations across multiple international locations. Key Responsibilities Provide short-term survey C positioning support to Major Capital Projects and assets globally to ensure technical excellence and operational efficiency. Review of survey procedures, site representation, acoustic frequency management planning, subsea metrology, offshore installation, subsea intervention, and inspection of subsea facilities and pipelines. Leverage data and software engineering techniques to create business value through data accessibility, data processing, data management and application of GIS. Understanding the business needs of the corporation to support work processes and strategic business objectives. Initiate and lead research and development programs to deliver new technologies to the business. Establishes C maintains working relationships with key stakeholders within the ENGINE, Technology Center, Capital Projects, and Business Units across the enterprise. Collaborate with industry peers on developing standards, data models and best practice to drive efficiency. Preferred Qualification A minimum of 10-15 years experience in land C offshore positioning, geophysical survey, terrestrial laser scanning and photogrammetric surveys, aerial LiDAR surveys, survey control networks and construction support. Demonstrated success working on multi-discipline teams as a technical contributor. Experience applying agile project management principles. Familiarity with the development and application of Generative Artificial Intelligence (GENAI) tools C platforms is highly regarded. Experience working with diverse geospatial 3D data types e.g. Digital Terrain Models (DTM), LiDAR point clouds, orthomosaics, Business Information Models (BIM) etc.

Role Description: Retail / CPG domain experience is a must have . Quick commerce (optional) Prior experience in using datasets such as - Geo data, share of wallet data, demographic data, geospatial analytics Candidate who has very specifically worked on projects where new stores / outlets were opened using below skill sets. Functional Knowledge Required: Category / Product Analytics (Must have) : Product Assortment Analysis, identifying trends and patterns in category performance, new product launches Geo-Spatial Analytics (Must have): GIS tools (ArcGIS or QGIS), Location-based analysis (spatial matching, trade area analysis), Spatial data visualization Customer Analytics (Good to have): Using Loyalty and Customer data for direct marketing campaigns and campaign measurement Sales Data Analysis (Must have): Analysing sales trends, forecasting performance and identifying key sales drivers Should have strong story telling skills: Ability to explain complex data to non-technical / business teams Skills: Proven experience as a Data Scientist or similar role. Strong knowledge of Data Analysis, Statistics, Machine Learning, Model Evaluation Techniques and Model Interpretation. Proficiency in data science tools and programming languages such as Python, R, Azure Databricks, SQL, etc. Familiarity with supervised and unsupervised learning techniques, deep learning, reinforcement learning, evaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI Power BI, Spotfire or other visualization tools (optional) Years of experience: 5 to 7 years relevant experience in Analytics

Business Analyst Location - Hyderabad Exp - 3 ys + Data Analysis and Insights Collect, analyze, and interpret data related to map curation and abuse operations to identify trends and areas for improvement. Develop dashboards and reports to monitor key performance indicators (KPIs), including accuracy, timeliness, and efficiency. Provide actionable insights to support decision-making for operational and strategic initiatives. Process Improvement Work closely with operations, quality, and process excellence teams to identify inefficiencies and recommend process enhancements. Collaborate with stakeholders to implement data-driven solutions to improve workflows, reduce errors, and enhance productivity. Support automation initiatives by analyzing the impact of tools and technology on operations. Stakeholder Collaboration Partner with operations managers, quality teams, and clients to understand business requirements and translate them into analytical deliverables. Present findings and recommendations to stakeholders through clear, concise, and impactful communication. Act as a bridge between technical teams and operational teams to ensure alignment on data and analytics objectives. Performance Monitoring Track and evaluate the effectiveness of operational strategies, workflows, and training programs. Identify root causes of performance gaps and recommend corrective actions. Design and implement frameworks to monitor policy adherence and quality standards. Tool and System Optimization Leverage advanced analytics tools to enhance data visualization and reporting. Provide input on tool improvements or new tool implementation to support operational goals. Ensure data accuracy and integrity in all reporting and analysis efforts. Qualifications Education Bachelors degree in Business Analytics, Data Science, Geography, or a related field. Masters degree or certifications in Business Analysis, Data Analytics, or GIS tools is an advantage. Experience 3+ years of experience as a business analyst or data analyst, preferably in map operations, geospatial data, or content moderation. Proven track record in using data to drive operational improvements. Skills Proficiency in analytics tools such as SQL, Tableau, Power BI, or similar platforms. Strong understanding of geospatial data and mapping tools is an advantage. Excellent problem-solving and critical-thinking skills. Strong communication and stakeholder management abilities. Experience with process improvement methodologies (e.g., Lean, Six Sigma) is a plus.