104 Data Analysts jobs in Kolkata

• Lead the design and implementation of data mining strategies and algorithms to identify trends, correlations, and predictive indicators within large and complex datasets.
• Develop and maintain data mining models using various statistical and machine learning techniques.
• Supervise and mentor a team of data miners and analysts, providing technical guidance and performance feedback.
• Collaborate with stakeholders across different departments to understand their data needs and translate them into actionable data mining projects.
• Identify new data sources and opportunities for data collection and integration.
• Develop robust data validation and quality assurance processes to ensure the accuracy and reliability of insights.
• Present complex findings and recommendations in a clear and concise manner to both technical and non-technical audiences.
• Stay current with the latest advancements in data mining, machine learning, and big data technologies.
• Contribute to the continuous improvement of data mining tools and methodologies.

• Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of progressive experience in data mining, statistical analysis, and machine learning.
• Proven experience in leading and managing a team of data professionals.
• Expertise in programming languages commonly used in data mining, such as Python or R, and associated libraries (e.g., Pandas, Scikit-learn, NumPy).
• Proficiency with SQL and experience working with large-scale databases (e.g., SQL Server, PostgreSQL, NoSQL databases).
• Familiarity with big data technologies like Hadoop, Spark, or similar distributed computing frameworks is a plus.
• Strong understanding of various data mining algorithms (e.g., clustering, classification, regression, association rules).
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to explain technical concepts to a non-technical audience.

• Assist senior analysts in collecting, cleaning, and organizing data from various sources.
• Perform basic data analysis and generate reports using tools like Excel and SQL.
• Create visualizations and charts to represent data trends and insights.
• Support in identifying patterns and anomalies within datasets.
• Help in maintaining databases and data integrity.
• Collaborate with the data analysis team on ongoing projects.
• Learn and apply new data analysis techniques and tools.
• Document data processes and methodologies.

• Recent graduate or currently pursuing a degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Basic understanding of statistical concepts and data analysis principles.
• Familiarity with Microsoft Excel for data manipulation and analysis.
• Knowledge of SQL is a plus.
• Strong attention to detail and accuracy.
• Eagerness to learn and develop data analysis skills.
• Good communication and teamwork abilities.
• Ability to adapt to a hybrid work schedule.

• Assisting in the collection, cleaning, and preprocessing of data from various sources.
• Performing exploratory data analysis to identify trends, patterns, and insights.
• Supporting the development and implementation of data models and algorithms.
• Creating visualizations and reports to communicate findings to stakeholders.
• Learning and applying statistical methods and machine learning techniques.
• Collaborating with team members on data-related projects.
• Documenting data processes and methodologies.
• Troubleshooting data issues and ensuring data accuracy and integrity.
• Participating in team meetings and contributing to project discussions.

• Lead the acquisition, processing, and interpretation of geological data from various sources, including satellite imagery, airborne surveys, and geophysical data.
• Develop and implement advanced remote sensing methodologies for mineral exploration and geological mapping.
• Utilize geological software and analytical tools to model subsurface structures and predict potential ore bodies.
• Collaborate with exploration teams to define targets and design field exploration programs based on remote sensing and data analysis insights.
• Manage and mentor junior geoscientists, providing technical guidance and expertise in remote sensing and data interpretation.
• Prepare detailed technical reports, presentations, and recommendations for senior management and stakeholders.
• Stay current with advancements in remote sensing technologies, geological modeling software, and data analytics relevant to the mining industry.
• Ensure data integrity, quality control, and adherence to best practices in geological data management.
• Contribute to the strategic planning and resource evaluation processes of the company.

• Ph.D. or Master's degree in Geology, Geophysics, Earth Science, or a closely related field.
• Minimum of 10 years of experience in mineral exploration geology, with a strong focus on remote sensing and data analysis.
• Proficiency in geological software (e.g., ArcGIS, QGIS, Leapfrog, Vulcan) and remote sensing platforms (e.g., ENVI, ERDAS Imagine).
• Extensive experience with various satellite and airborne sensor data (e.g., optical, multispectral, hyperspectral, LiDAR).
• Strong understanding of geological principles, mineral deposit types, and exploration techniques.
• Excellent analytical, problem-solving, and data visualization skills.
• Proven ability to lead projects and mentor technical staff.
• Exceptional written and verbal communication skills, comfortable presenting complex technical information.
• Ability to work independently and collaboratively in a remote team environment.

• Plan and execute geological surveys using remote sensing technologies.
• Analyze satellite imagery, aerial photos, and other geospatial data for geological interpretation.
• Identify and map mineral deposits, geological structures, and potential exploration targets.
• Utilize advanced GIS and geological modeling software for data processing and visualization.
• Integrate geological, geophysical, and geochemical data for comprehensive analysis.
• Prepare detailed technical reports and presentations of findings.
• Collaborate with multidisciplinary teams of geoscientists and engineers.
• Manage data acquisition, quality control, and archival processes.
• Stay abreast of the latest advancements in remote sensing and geological survey techniques.
• Ensure adherence to safety and environmental best practices in all project phases.

• Master's or Ph.D. in Geology, Earth Sciences, or a related field with a specialization in remote sensing or geophysics.
• Minimum of 7 years of progressive experience in geological surveying and data analysis.
• Demonstrated expertise in interpreting remote sensing data (e.g., optical, radar, LiDAR).
• Proficiency in GIS software (e.g., ArcGIS, QGIS) and geological modeling tools.
• Strong understanding of geological principles and mineral exploration techniques.
• Experience with data analysis and statistical methods relevant to geosciences.
• Excellent written and verbal communication skills, with the ability to present complex information clearly.
• Proven ability to manage projects and work independently in a remote setting.
• Familiarity with programming languages for data analysis (e.g., Python, R) is a plus.

• Leading geological data acquisition and processing using advanced remote sensing techniques (e.g., hyperspectral, LiDAR, radar).
• Developing and applying sophisticated GIS and spatial analysis tools for geological mapping and interpretation.
• Utilizing machine learning and AI models for predictive geological modeling and resource estimation.
• Analyzing large-scale geophysical and geochemical datasets.
• Collaborating with exploration geologists, geophysicists, and data scientists to integrate diverse data streams.
• Designing and overseeing virtual field validation programs.
• Preparing technical reports, presentations, and visualizations for management and stakeholders.
• Mentoring junior geologists and data analysts in remote sensing and data interpretation techniques.
• Staying current with cutting-edge technologies and methodologies in geological exploration.
• Contributing to the strategic planning of exploration initiatives.

We are a dynamic and fast-growing market research consultancy headquartered in Singapore, supporting clients both in Singapore and across Asia-Pacific.

To strengthen our Analytics & Operations team, we are looking for a meticulous and self-motivated professional to join our remote team based in India.

This role will support research delivery across the following key areas:

• Survey & Questionnaire Support: Assist in questionnaire setup, liaise with scripting vendors, and maintain version control and documentation of questionnaire changes and approvals.
• Fieldwork Management & Operations Coordination: Monitor fieldwork progress, track timelines and milestones, and conduct quality checks on open-ended responses.
• Data Processing & Reporting Support: Verify vendor deliverables, conduct first-level data validations and cleaning, and prepare tally sheets.

Quality, Communication & Team Support: Document project trackers, join client calls, and handle ad hoc analysis requests.

Key Responsibilities:

• Minimum bachelor's degree in business, market research, statistics, or similar fields. Postgraduate degree will be advantageous.
• At least 3 years of experience in market research specifically in research delivery and project management.
• Sophisticated user of Microsoft Excel and PowerPoint, with strong visualization and charting skills.
• Comfortable working autonomously and remotely.
• Highly organized and disciplined when managing projects and processes is a must.

About Us

Welcome to a workplace that excites and motivates our people. We strive to create an environment where individuals can feel purposeful every day.

• Developing and deploying machine learning models for predictive maintenance of mining equipment, forecasting ore grades, optimizing blasting patterns, and managing supply chain logistics.
• Analyzing vast datasets from sensors, geological surveys, operational logs, and financial reports to extract actionable insights.
• Designing and implementing robust data pipelines for data ingestion, cleaning, transformation, and feature engineering specifically tailored for mining applications.
• Collaborating with geologists, engineers, operations managers, and IT professionals to understand business needs and translate them into data science solutions.
• Communicating complex findings and model results clearly to technical and non-technical stakeholders through visualizations and reports.
• Evaluating and selecting appropriate algorithms and statistical methods for diverse mining-related problems.
• Conducting A/B testing and performance monitoring of deployed models to ensure accuracy and efficacy.
• Staying current with the latest advancements in data science, machine learning, and AI relevant to the natural resources sector.
• Mentoring junior data scientists and contributing to the development of a strong data science culture within the organization.
• Identifying new opportunities to apply data-driven approaches to solve critical business challenges within the mining lifecycle.
• Ensuring data quality, integrity, and ethical considerations are maintained throughout the data science workflow.
• Contributing to the strategic direction of data analytics and AI initiatives within the company.

• A Master's or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
• A minimum of 5-7 years of hands-on experience in data science, with a proven track record of building and deploying predictive models in an industrial or operational setting.
• Expert proficiency in programming languages such as Python or R, and extensive experience with data science libraries (e.g., Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Strong experience with SQL and NoSQL databases, and proficiency in big data technologies (e.g., Spark, Hadoop).
• Solid understanding of statistical modeling, time series analysis, regression, classification, clustering, and deep learning techniques.
• Experience with cloud platforms (AWS, Azure, GCP) and associated data science services.
• Excellent problem-solving skills and the ability to think critically and creatively.
• Strong communication and presentation skills, with the ability to convey technical concepts to a diverse audience.
• Experience in the mining or natural resources industry is highly desirable.
• Ability to work independently and collaboratively in a remote, distributed team environment.

• Develop and implement advanced data science models to analyze large-scale geospatial datasets related to geological surveys, exploration, and resource estimation.
• Utilize machine learning and statistical techniques to identify patterns, anomalies, and trends in spatial data, informing strategic decision-making.
• Design, build, and maintain robust data pipelines for ingesting, cleaning, and transforming diverse geospatial data sources (e.g., satellite imagery, LiDAR, seismic data, geological maps).
• Create interactive dashboards, visualizations, and reports to effectively communicate complex findings and actionable insights to stakeholders, including geologists, engineers, and management.
• Collaborate with exploration teams to define data requirements, develop predictive models for resource discovery, and optimize exploration strategies.
• Develop algorithms for site selection, risk assessment, and operational planning within mining environments.
• Work with cloud-based data platforms and tools to ensure scalability and efficiency of data processing and model deployment.
• Stay current with the latest advancements in geospatial technologies, data science, and machine learning relevant to the mining industry.
• Mentor junior data scientists and provide technical guidance on geospatial analysis techniques.
• Ensure data quality, integrity, and security across all projects.
• Contribute to the development of data-driven strategies and best practices for the organization.
• Conduct research and evaluate new technologies and methodologies for enhancing geospatial data analysis capabilities.

• Ph.D. or Master's degree in Data Science, Geosciences, Geography, Computer Science, or a related quantitative field with a strong focus on geospatial analysis.
• Minimum of 7 years of professional experience in data science, with at least 4 years specializing in geospatial data analysis and relevant applications.
• Proficiency in programming languages such as Python (with libraries like GeoPandas, Rasterio, Shapely) and R.
• Extensive experience with Geographic Information Systems (GIS) software (e.g., ArcGIS, QGIS) and spatial databases (e.g., PostGIS).
• Strong understanding of machine learning algorithms, statistical modeling, and their application to spatial data.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is highly desirable.
• Excellent communication, presentation, and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
• Proven ability to work independently and collaboratively in a remote team environment.
• Experience in the mining, oil & gas, or natural resources sector is a significant plus.
• Demonstrated ability to manage multiple projects and meet deadlines.