11 Statistical Analysis jobs in Mumbai
Analyst, Data Analysis
Posted 1 day ago
Job Viewed
Job Description
Analyze and validate the data content of files to be ingested.
Ensure data integrity and accuracy during the data ingestion process.
Collaborate with cross-functional teams to understand data requirements and business needs.
Develop and implement data validation and quality control processes.
Identify and resolve data discrepancies and inconsistencies.
Create and maintain documentation related to data analysis and ingestion processes.
Generate reports and provide insights based on data analysis.
Assist in the development and maintenance of data management systems.
Requirements
Bachelor's degree in health informatics, Statistics, Mathematics, Computer Science, or a related field.
Healthcare experience mandatory.
A minimum of 4 years of experience in data analysis and data management.
Proficiency in SQL and data analysis tools (e.g., SAS, R, Python).
Strong understanding of healthcare data and healthcare payer systems.
Excellent analytical and problem-solving skills.
Strong attention to detail and accuracy.
Effective communication skills, both written and verbal.
Ability to work independently and as part of a team.
Experience with Extract, Transform, Load (ETL) processes.
Knowledge of healthcare regulations and compliance standards (e.g., HIPAA).
Familiarity with data visualization tools (e.g., Tableau, Power BI).
Experience in project management and leading data-related projects.
Analyst, data analysis
Posted today
Job Viewed
Job Description
Analyst, data analysis
Posted today
Job Viewed
Job Description
Analyst, Data Analysis
Posted today
Job Viewed
Job Description
Responsibilities
- Analyze and validate the data content of files to be ingested.
- Ensure data integrity and accuracy during the data ingestion process.
- Collaborate with cross-functional teams to understand data requirements and business needs.
- Develop and implement data validation and quality control processes.
- Identify and resolve data discrepancies and inconsistencies.
- Create and maintain documentation related to data analysis and ingestion processes.
- Generate reports and provide insights based on data analysis.
- Assist in the development and maintenance of data management systems.
Requirements
- Bachelor's degree in health informatics, Statistics, Mathematics, Computer Science, or a related field.
- Healthcare experience mandatory.
- A minimum of 4 years of experience in data analysis and data management.
- Proficiency in SQL and data analysis tools (e.g., SAS, R, Python).
- Strong understanding of healthcare data and healthcare payer systems.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and accuracy.
- Effective communication skills, both written and verbal.
- Ability to work independently and as part of a team.
- Experience with Extract, Transform, Load (ETL) processes.
- Knowledge of healthcare regulations and compliance standards (e.g., HIPAA).
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Experience in project management and leading data-related projects.
Analyst, Data Analysis
Posted today
Job Viewed
Job Description
Responsibilities
- Analyze and validate the data content of files to be ingested.
- Ensure data integrity and accuracy during the data ingestion process.
- Collaborate with cross-functional teams to understand data requirements and business needs.
- Develop and implement data validation and quality control processes.
- Identify and resolve data discrepancies and inconsistencies.
- Create and maintain documentation related to data analysis and ingestion processes.
- Generate reports and provide insights based on data analysis.
- Assist in the development and maintenance of data management systems.
Requirements
- Bachelor's degree in health informatics, Statistics, Mathematics, Computer Science, or a related field.
- Healthcare experience mandatory.
- A minimum of 4 years of experience in data analysis and data management.
- Proficiency in SQL and data analysis tools (e.g., SAS, R, Python).
- Strong understanding of healthcare data and healthcare payer systems.
- Excellent analytical and problem-solving skills.
- Strong attention to detail and accuracy.
- Effective communication skills, both written and verbal.
- Ability to work independently and as part of a team.
- Experience with Extract, Transform, Load (ETL) processes.
- Knowledge of healthcare regulations and compliance standards (e.g., HIPAA).
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Experience in project management and leading data-related projects.
Senior Geoscientist - Data Analysis
Posted 13 days ago
Job Viewed
Job Description
Key Responsibilities:
- Analyze and interpret large-scale geological and geophysical datasets.
- Develop and implement advanced data processing and analysis workflows.
- Create sophisticated data visualizations and geological models.
- Extract actionable insights to support exploration and resource assessment.
- Collaborate with multidisciplinary scientific and engineering teams.
- Develop and apply predictive modeling techniques.
- Assess subsurface geological risks and opportunities.
- Ensure data quality, integrity, and accuracy.
- Communicate complex technical findings to diverse audiences.
- Contribute to the advancement of analytical methods in geoscience.
Qualifications:
- Master's degree in Geosciences, Geophysics, Data Science, or a related field. Ph.D. preferred.
- 7+ years of experience in geological or geophysical data analysis.
- Strong proficiency in programming languages such as Python or R for data analysis.
- Experience with geological modeling software and GIS tools.
- In-depth knowledge of statistical analysis and machine learning techniques.
- Familiarity with seismic data processing and interpretation is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities.
- Proven ability to work effectively in a collaborative team environment.
MIS Executive/Data Analysis Executive
Posted 1 day ago
Job Viewed
Job Description
We're hiring
Designation: MIS Executive/Data Analysis Executive
Location: Mumbai
Salary: LPA
Key Requirements:
Strong knowledge of Advanced Excel
Analytical mindset
Experience in MIS reporting & dashboards preferred but freshers can also apply
Responsibilities:
Prepare and maintain periodic MIS reports
Consolidate and analyze data from multiple sources with accuracy
Create and manager operational dashboards across business verticals
Support management with data requirements and data-driven insights
If you enjoy working with data to drive business outcomes, wed love to hear from you.
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Senior Soil Scientist - Data Analysis
Posted 11 days ago
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Job Description
Key Responsibilities:
- Analyze large datasets related to soil properties, environmental conditions, and crop performance.
- Develop and implement statistical models and machine learning algorithms for soil data analysis.
- Interpret soil test results and provide actionable recommendations for fertilizer management, crop rotation, and soil remediation.
- Conduct research on soil fertility, nutrient dynamics, and soil health indicators.
- Collaborate with field agronomists, researchers, and farm managers to integrate data insights into practical applications.
- Develop and maintain databases for soil information and agricultural data.
- Prepare comprehensive reports, technical documents, and scientific publications.
- Stay current with advancements in soil science, data analytics, and agricultural technology.
- Mentor junior soil scientists and data analysts in a remote work environment.
- Contribute to the development of precision agriculture tools and strategies.
- Master's or Ph.D. in Soil Science, Agronomy, Environmental Science, or a related field with a focus on data analysis.
- Minimum of 7 years of experience in soil science and data analysis, with at least 4 years specifically in agricultural data interpretation.
- Proficiency in statistical software (e.g., R, SAS, SPSS) and data visualization tools.
- Experience with machine learning techniques and their application in agriculture.
- Strong understanding of soil chemistry, physics, and biology.
- Familiarity with agricultural data management systems and platforms.
- Excellent analytical, critical thinking, and problem-solving skills.
- Strong written and verbal communication skills, with the ability to convey complex findings effectively.
- Proven ability to work independently and manage projects in a remote setting.
- Commitment to promoting sustainable agricultural practices.
Senior Geotechnical Engineer - Remote Sensing & Data Analysis
Posted 12 days ago
Job Viewed
Job Description
- Develop and implement remote sensing strategies for geotechnical monitoring and hazard assessment in mining operations.
- Process and analyze large datasets from various remote sensing platforms (e.g., drones, satellites, airborne surveys) to identify geological features and potential instabilities.
- Apply advanced geotechnical principles to interpret remote sensing data and geological models.
- Conduct detailed stability analyses for slopes, open pits, and underground excavations using integrated data sources.
- Develop and maintain 3D geological and geotechnical models incorporating remote sensing inputs.
- Create visualizations and reports to communicate complex findings to both technical and non-technical stakeholders.
- Collaborate with site-based engineers and geologists to validate remote sensing findings and inform operational decisions.
- Research and evaluate new technologies and methodologies in remote sensing and geotechnical data analysis.
- Manage projects related to geotechnical data acquisition and analysis, ensuring timely and accurate delivery.
- Contribute to the development of best practices and standards for geotechnical monitoring and data management within the organization.
- Provide technical guidance and mentorship to junior engineers and geoscientists.
- Ensure data integrity, quality control, and data management best practices are followed.
- Prepare technical documentation, proposals, and presentations for internal and external audiences.
- Stay abreast of industry trends and advancements in geotechnical engineering and remote sensing.
- Master's or Ph.D. in Geotechnical Engineering, Geological Engineering, or a closely related field.
- Minimum of 8 years of progressive experience in geotechnical engineering, with a strong emphasis on the application of remote sensing and GIS in the mining industry.
- Demonstrated expertise in processing and analyzing data from LiDAR, InSAR, photogrammetry, and satellite imagery.
- Proficiency in relevant software such as ArcGIS, QGIS, ENVI, ERDAS Imagine, MATLAB, Python (for data analysis and scripting), and geotechnical modeling software (e.g., Rocscience suite, FLAC).
- In-depth understanding of geological principles, rock mechanics, soil mechanics, and slope stability analysis.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to convey complex technical information clearly.
- Experience working effectively in a remote team environment.
- Ability to manage multiple projects simultaneously and meet deadlines.
- Professional Engineer (PE) or equivalent international certification is a plus.
Data Center Transient Analysis Engineer
Posted 1 day ago
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Job Description
About the Role:
We are seeking a highly skilled Data Center Transient Analysis Engineer with expertise in Six Sigma methodologies to join our engineering team. The ideal candidate will have strong knowledge of thermal-fluid systems, transient simulations, reliability engineering, and process improvement techniques to optimize mission-critical data center operations.
Key Responsibilities:
- Conduct transient simulations and analysis of power, cooling, and airflow systems in data centers.
- Identify potential system instabilities, downtime risks, and bottlenecks using CFD/FEA tools and data-driven methods.
- Apply Six Sigma (DMAIC/DFSS) principles to reduce variability and enhance process efficiency.
- Collaborate with operations, facilities, and reliability engineering teams to drive continuous improvement projects.
- Develop and validate models to predict system response under dynamic load conditions.
- Create technical reports, dashboards, and executive presentations to communicate insights.
- Ensure compliance with ASHRAE, IEEE, and data center operational standards.
- Lead root-cause analysis for failures and provide corrective/preventive actions.
Qualifications:
- Bachelor's or Master's in Mechanical Engineering, Electrical Engineering, or related field.
- Proven experience in data center operations, reliability, or transient system modeling.
- Hands-on experience with simulation tools (ANSYS, COMSOL, Fluent, MATLAB, or similar).
- Certified Six Sigma Green Belt / Black Belt preferred.
- Strong analytical and problem-solving skills with a focus on process optimization.
- Excellent communication skills and ability to work cross-functionally.
Preferred Skills:
- Knowledge of power systems (UPS, gensets, switchgear) and cooling infrastructure.
- Experience in reliability engineering and failure mode effects analysis (FMEA).
- Familiarity with Lean manufacturing and continuous improvement frameworks.
- Data analytics and dashboarding skills (Python, SQL, Power BI, or Tableau).
Why Join Us:
- Opportunity to work on cutting-edge data center technologies.
- Exposure to global projects with a strong emphasis on innovation and reliability.
- Career growth with training in Six Sigma, Lean, and advanced simulation tools.
- Competitive salary and benefits package.
Job Type: Full-time
Work Location: In person