829 Data Analysis jobs in Mumbai

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.

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.

• 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.

• 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.

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.

• 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.

• 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.

Checkmate is building advanced Voice AI systems for some of the largest restaurant and retail brands in the US, including several in the top 10. Unlike many companies still in the prototype phase, our AI solutions are live in production with real customers, achieving over 80% accuracy. This is a $1 billion market opportunity, and we’re scaling to 3,000+ stores by the end of this year.

Join us at this pivotal moment to shape AI products used daily by thousands of staff and customers, driving measurable impact at scale.

Requirements

• Prompt Design & Evaluation -  Develop, test, and refine prompts for tasks such as text generation, question answering, data classification, and structured data extraction to optimize Voice AI performance.
  
  
• Data-Driven Analysis & Quality Measurement - Design evaluation frameworks and analyze prompt outputs using quantitative metrics, human-in-the-loop evaluation, and user feedback to identify improvement opportunities.
  
  
• Experimentation & Iteration - Conduct experiments to test prompt variations, measure their business and operational impact, and iterate to enhance accuracy, consistency, and safety.
  
  
• Regression Testing & Compliance - Build principled regression test suites using tools like LangFuse and Galileo to ensure prompts remain compliant and high-performing as models and use cases evolve.
  
  
• Collaboration Across Teams - Work closely with data science, product, legal, engineering, and operations teams to align prompt designs with business goals, operational workflows, and compliance requirements.
  
  
• Model Adaptation & Strategy Develop - prompts across multiple LLMs (GPT, LLaMA, Gemini, and Checkmate’s fine-tuned models), understanding model differences to optimize outputs effectively.
  
  
• Team Leadership & Mentorship Lead - a team of analysts focused on prompt evaluation and data quality analysis, guiding prioritization, experimentation, and reporting. Collaborate with ops teams for seamless deployment and feedback loops.
  
  

• Research & Continuous Learning -Stay up to date on emerging prompting techniques, LLM behaviors, evaluation frameworks, and AI safety practices to keep Checkmate’s AI solutions best-in-class.
  

Minimum Qualifications

• Strong analytical and data science skills, with hands-on experience in Python (pandas, NumPy, scikit-learn)
  
• Experience designing and conducting experiments and evaluations in applied AI or NLP contexts
  
• Proficiency in SQL and working with relational databases (e.g. MySQL, PostgreSQL, Oracle, MS SQL)
  
• Good understanding of data processing, quality measurement, and testing fundamentals
  
• Experience leading analyst or operations teams, with strong prioritization, mentorship, and collaboration skills
  
• Strong problem-solving mindset with a drive to explore, optimize, and automate workflows
  
• Excellent communication skills for presenting insights to technical and non-technical stakeholders
  
• Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field
  
• Flexible to work US hours until at least 6 p.m. ET, with a strong remote setup
  

Preferred Qualifications

• Experience with LLM evaluation and prompt engineering workflows
  
• Familiarity with tools like LangFuse and Galileo for prompt evaluation and analysis
  
• Knowledge of cloud platforms (AWS, GCP, Azure) and data pipeline tools
  
• Familiarity with machine learning concepts and NLP workflows
  
• Master’s or PhD in Data Science, Statistics, Computer Science, or a related field