What Jobs are available for Data Analysis in Tamil Nadu?
Showing 5 Data Analysis jobs in Tamil Nadu
Research Intern - Data Analysis
Posted 10 days ago
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Job Description
Key Tasks:
- 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.
Requirements:
- 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.
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Junior Research Assistant - Data Analysis
Posted 2 days ago
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Job Description
Responsibilities:
- Assist senior researchers in data collection activities using various methodologies (surveys, interviews, literature reviews).
- Organize, clean, and prepare raw data for analysis using statistical software and tools.
- Perform basic statistical analysis and generate reports under the guidance of senior team members.
- Contribute to the interpretation of research findings and the development of conclusions.
- Maintain accurate and comprehensive records of research activities and data sets.
- Conduct literature searches and synthesize information from academic journals and other sources.
- Assist in the preparation of research presentations, reports, and publications.
- Collaborate effectively with remote team members on shared research projects.
- Ensure adherence to research protocols and ethical guidelines.
- Proactively identify and report any challenges or discrepancies encountered during the research process.
- Bachelor's degree in a relevant field such as Statistics, Economics, Mathematics, Psychology, Sociology, or a related discipline.
- Strong understanding of basic statistical concepts and methods.
- Proficiency in using data analysis software like Excel, SPSS, R, or Python for data manipulation and analysis.
- Excellent attention to detail and accuracy in data handling.
- Good written and verbal communication skills.
- Ability to work independently, manage time effectively, and meet deadlines in a remote setting.
- Eagerness to learn and develop new research skills.
- Prior experience with research projects or internships is a plus.
- Familiarity with research methodologies and data visualization techniques is beneficial.
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Junior Graduate Trainee - Data Analysis
Posted 17 days ago
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Job Description
Responsibilities:
- Assist senior analysts in collecting, cleaning, and organizing data from various sources.
- Perform preliminary data analysis to identify trends, patterns, and anomalies.
- Generate reports and visualizations to present findings to the team.
- Support the development of dashboards and performance metrics.
- Learn and apply statistical methods and data modeling techniques.
- Collaborate with cross-functional teams to understand data requirements and deliver insights.
- Ensure data accuracy and integrity throughout the analysis process.
- Participate in training sessions and actively seek opportunities for professional development.
- Assist in documenting data processes and analytical methodologies.
- Contribute to ad-hoc data-related projects as assigned.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Familiarity with data analysis tools such as Excel, SQL, and Python (Pandas, NumPy).
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work effectively both independently and as part of a team.
- Eagerness to learn and adapt to new technologies and methodologies.
- Understanding of basic statistical concepts.
- Prior internship or project experience in data analysis is a plus.
- Must be eligible to work in India.
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Agronomist - Remote Sensing & Data Analysis
Posted 20 days ago
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Job Description
Key Responsibilities:
- Acquire, process, and analyze remote sensing data (satellite imagery, drone data) for agricultural applications.
- Develop and implement analytical models for crop health assessment, yield prediction, and soil moisture monitoring.
- Interpret geographical information system (GIS) data and integrate it with agricultural datasets.
- Monitor large-scale agricultural operations remotely, identifying trends and potential issues.
- Provide data-driven recommendations to farmers and agricultural stakeholders on optimal planting, irrigation, and fertilization strategies.
- Collaborate with research teams to develop new methodologies and tools for precision agriculture.
- Prepare detailed reports and visualizations of findings for diverse audiences.
- Stay abreast of the latest advancements in remote sensing technology, agricultural science, and data analytics.
- Contribute to the development of sustainable and climate-smart farming practices.
- Ensure data integrity and accuracy throughout the analysis process.
Qualifications:
- Master's or Ph.D. in Agronomy, Agricultural Science, Geography, Remote Sensing, or a related field.
- Minimum of 4 years of experience in applying remote sensing and GIS techniques to agriculture.
- Strong knowledge of crop physiology, soil science, and agronomic principles.
- Proficiency in remote sensing software (e.g., ENVI, ERDAS IMAGINE) and GIS software (e.g., ArcGIS, QGIS).
- Experience with programming languages for data analysis (e.g., Python, R) is highly desirable.
- Familiarity with drone data processing and analysis.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to present complex data clearly.
- Self-motivated and able to work effectively in a remote, independent setting.
- Passion for leveraging technology to improve agricultural sustainability and productivity.
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Lead Geologist - Remote Sensing & Data Analysis
Posted 16 days ago
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Job Description
The successful candidate will leverage advanced remote sensing technologies and sophisticated data analysis techniques to identify, evaluate, and map mineral and resource deposits. You will play a pivotal role in shaping exploration strategies, managing geological datasets, and interpreting complex spatial information. This role demands a deep understanding of geological principles, a strong aptitude for data science, and a proven ability to manage projects and collaborate with multidisciplinary teams in a virtual setting.
Responsibilities:
- Oversee and execute geological surveys and exploration programs using cutting-edge remote sensing platforms (e.g., satellite imagery, LiDAR, hyperspectral).
- Develop and implement advanced data processing and analysis workflows for geological datasets.
- Interpret remote sensing data to identify geological structures, mineral alteration zones, and potential resource targets.
- Integrate geological, geophysical, and geochemical data with remote sensing products to create comprehensive 3D models.
- Manage large, complex geospatial databases and ensure data integrity and accessibility.
- Develop predictive models for resource occurrence and distribution.
- Collaborate closely with geophysicists, geochemists, and other domain experts across various time zones.
- Prepare detailed technical reports, presentations, and recommendations for exploration strategies and project planning.
- Mentor and guide junior geologists and data analysts in the team.
- Ensure adherence to best practices in data management, safety, and environmental stewardship.
- Stay current with the latest advancements in remote sensing, GIS, geological modeling, and data analytics.
- Master's or Ph.D. in Geology, Geophysics, Earth Sciences, or a related field.
- Minimum of 8 years of progressive experience in geological exploration, with a significant focus on remote sensing and geospatial analysis.
- Expertise in analyzing and interpreting various types of remote sensing data (e.g., optical, radar, thermal, hyperspectral).
- Proficiency in GIS software (e.g., ArcGIS, QGIS) and remote sensing software (e.g., ERDAS Imagine, ENVI).
- Strong programming skills in Python, R, or similar languages for data analysis and automation.
- Experience with geological modeling software and techniques.
- Excellent understanding of mineral systems and deposit geology.
- Proven ability to manage complex projects, deliver results, and meet deadlines.
- Exceptional analytical, problem-solving, and critical-thinking skills.
- Excellent written and verbal communication skills, with the ability to present complex technical information clearly and concisely.
- Demonstrated ability to work independently and collaboratively in a remote team environment.
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