109 Business Intelligence Analyst jobs in Noida
Apprentice Data Analyst - Business Intelligence
Posted 5 days ago
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Job Description
Your responsibilities will include assisting in the collection and cleaning of data from various sources, ensuring data accuracy and integrity. You will help in developing and maintaining reports and dashboards using business intelligence tools. Under guidance, you will perform basic data analysis to identify trends, patterns, and anomalies. You will support the data team in ad-hoc data requests and contribute to data visualization efforts. Learning and applying data modeling techniques and statistical analysis will be part of your developmental journey. You will also gain exposure to SQL for data querying and manipulation, and potentially other data analysis tools.
The ideal candidate will have a strong analytical mindset and a keen eye for detail. A Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline is preferred. Basic knowledge of data analysis concepts and tools is a plus, but a strong willingness to learn is essential. Proficiency in Microsoft Excel is required. Familiarity with SQL, Python, or R is advantageous. Excellent communication skills and the ability to work collaboratively in a remote team environment are important. You should be proactive, eager to learn, and possess a genuine interest in data and its potential to solve business problems. This apprenticeship provides a comprehensive learning experience and a potential pathway to a full-time role within our client's organization. Embrace this chance to build a strong foundation in data analytics from the comfort of your home.
Junior Data Analyst, Business Intelligence
Posted 8 days ago
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Job Description
Responsibilities:
- Assist in collecting and organizing data from various sources.
- Perform data cleaning and pre-processing tasks to ensure data accuracy and integrity.
- Conduct basic data analysis using statistical methods and tools.
- Create reports and dashboards to visualize data and communicate findings effectively.
- Support senior analysts in developing insights and recommendations for business improvements.
- Help in identifying trends, patterns, and anomalies in datasets.
- Collaborate with team members on data-related projects.
- Learn and apply new data analysis techniques and software.
- Contribute to the documentation of data processes and methodologies.
- Currently pursuing or recently completed a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong understanding of statistical concepts.
- Familiarity with data analysis tools such as Excel, SQL, Python (Pandas, NumPy), or R is a plus.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work independently and as part of a remote team.
- Eagerness to learn and adapt to new technologies and methodologies.
Junior Data Analyst - Business Intelligence
Posted 9 days ago
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Job Description
Responsibilities:
- Assist in extracting and cleaning data from various databases and sources.
- Support the creation of reports and dashboards using BI tools.
- Perform basic data quality checks and identify anomalies.
- Contribute to data analysis tasks under the supervision of senior team members.
- Help develop and maintain data visualizations.
- Learn and apply SQL queries for data retrieval and analysis.
- Assist in documenting data processes and methodologies.
- Collaborate with team members in a remote environment.
- Currently pursuing or recently completed a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Basic understanding of data analysis concepts and methodologies.
- Proficiency in Microsoft Excel or Google Sheets.
- Familiarity with SQL is a plus.
- Experience with BI tools (e.g., Tableau, Power BI) is a plus.
- Strong attention to detail and accuracy.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- Eagerness to learn and develop data analysis skills.
Junior Data Analyst, Business Intelligence
Posted 19 days ago
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Job Description
Responsibilities:
- Assist in collecting and organizing data from various sources.
- Perform data cleaning and pre-processing to ensure data quality and accuracy.
- Conduct preliminary data analysis to identify trends and patterns.
- Support the creation of reports and dashboards using BI tools.
- Assist in visualizing data and preparing presentations of findings.
- Learn and apply statistical methods to analyze data.
- Collaborate with senior analysts on ongoing projects.
- Contribute to data integrity checks and validation processes.
- Document data sources, methodologies, and findings.
Qualifications:
- Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong foundational understanding of statistical concepts.
- Proficiency in Microsoft Excel.
- Basic knowledge of SQL for data querying.
- Familiarity with data visualization principles.
- Excellent analytical and problem-solving abilities.
- Strong attention to detail and accuracy.
- Good written and verbal communication skills.
- Eagerness to learn and adapt in a remote environment.
Agronomist - Remote Data Analysis
Posted 20 days ago
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Job Description
Key Responsibilities:
- Collect, analyze, and interpret agricultural data related to crop growth, soil conditions, and environmental factors.
- Develop and implement data-driven strategies for optimizing crop yields and farm productivity.
- Evaluate the effectiveness of different fertilizers, pesticides, and irrigation methods.
- Identify and diagnose plant diseases, pest infestations, and nutrient deficiencies.
- Prepare detailed reports and presentations on findings and recommendations.
- Collaborate with research teams on experimental design and data collection.
- Stay current with advancements in agronomy, agricultural technology, and data analysis.
- Conduct on-site assessments and provide practical guidance to farmers when required.
Qualifications:
- Bachelor's or Master's degree in Agronomy, Agricultural Science, or a related field.
- Minimum of 3 years of experience in agronomy or agricultural research.
- Proficiency in data analysis software (e.g., R, Python, SPSS) and statistical methods.
- Knowledge of soil science, plant physiology, and crop management practices.
- Strong analytical and problem-solving skills.
- Excellent communication and interpersonal abilities.
- Ability to work independently and manage time effectively in a hybrid environment.
Graduate Trainee - Data Analysis
Posted 20 days ago
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Job Description
Responsibilities:
- Assist in data collection, cleaning, and pre-processing from various sources.
- Perform exploratory data analysis and create data visualizations to identify trends and patterns.
- Support the development of dashboards and reports using data visualization tools.
- Help in statistical analysis and interpretation of data sets.
- Collaborate with senior analysts to understand project requirements and deliverables.
- Learn and apply programming languages such as Python or R for data manipulation and analysis.
- Contribute to data quality checks and ensure data integrity.
- Assist in the documentation of data analysis processes and methodologies.
- Participate in team meetings and contribute ideas for improving data processes.
- Undergo continuous learning and training in data analysis techniques and tools.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Data Science, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Familiarity with basic statistical concepts.
- Exposure to data analysis tools or programming languages (e.g., Excel, SQL, Python, R) is a plus.
- Excellent attention to detail and commitment to data accuracy.
- Good communication and interpersonal skills.
- Ability to work independently and manage tasks effectively in a remote setting.
- Eagerness to learn and adapt to new technologies and methodologies.
- Demonstrated interest in data analysis or a related field.
Lead Geologist - Remote Sensing & Data Analysis
Posted 19 days ago
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Job Description
- Developing and executing advanced remote sensing workflows for geological interpretation and mineral identification.
- Acquiring, processing, and analyzing large-scale geospatial datasets from various satellite platforms (e.g., Landsat, Sentinel, ASTER).
- Integrating remote sensing data with other geological datasets (e.g., geophysical, geochemical, drilling) to build comprehensive 3D geological models.
- Utilizing machine learning and AI techniques for automated feature extraction and pattern recognition in geological imagery.
- Providing expert interpretation of geological features, structures, and alteration patterns identified through remote sensing.
- Leading geological interpretation sessions and contributing to target generation for mineral exploration.
- Mentoring and guiding junior geologists and data analysts in the application of remote sensing techniques.
- Authoring detailed technical reports, presentations, and publications documenting findings and recommendations.
- Collaborating closely with exploration geologists, geophysicists, and other stakeholders to ensure data integration and alignment with project objectives.
- Keeping abreast of the latest advancements in remote sensing technology, software, and geological applications.
- Managing data pipelines, ensuring data quality, and maintaining robust metadata standards.
- Contributing to the development of company-wide best practices for remote sensing data acquisition and analysis.
- Master's degree or Ph.D. in Geology, Geophysics, Earth Sciences, or a related field with a specialization in Remote Sensing or Geospatial Analysis.
- Minimum of 8-10 years of experience in geological exploration, with at least 5 years focused on the application of remote sensing techniques.
- Extensive experience with remote sensing software packages (e.g., ENVI, ERDAS Imagine, ArcGIS, QGIS) and programming languages (e.g., Python, R).
- Proficiency in processing and analyzing multispectral, hyperspectral, and radar satellite imagery.
- Strong understanding of geological principles, mineralogy, structural geology, and deposit models.
- Demonstrated experience with GIS software and database management.
- Experience with cloud-based geospatial platforms and big data processing is highly desirable.
- Proven ability to lead projects, manage data, and deliver insightful geological interpretations.
- Excellent written and verbal communication skills, with the ability to effectively communicate complex technical information to diverse audiences.
- Self-motivated, highly organized, and capable of working independently with minimal supervision in a remote setting.
- Demonstrated commitment to continuous learning and professional development.
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