16 Statistics jobs in Mumbai

About Axis My India

Axis My India Limited is India’s leading consumer data intelligence company, committed to enabling data-driven decision-making. It has launched the "A" App , a people empowerment platform designed to enhance the lives of a billion citizens by providing access to authentic information and practical solutions for everyday needs. The app follows a PHYGITAL model, leveraging Axis My India’s vast network of 5,000+ locations across 700 districts. Powered by Google Cloud and Google Gen AI , it continuously learns and improves to deliver better user experiences. The company is spearheaded by Mr. Pradeep Gupta who is a leading name in market research and is India’s top psephologist.

Job Description

The Senior Analyst will manage, analyze, and interpret data to drive business decisions across multiple projects, including the ‘a’ app and other initiatives. This position requires advanced statistical expertise, proficiency in analytics tools, and the ability to communicate insights effectively to product and research teams. Senior Analyst will be leading the team of 3 to 5 people.

Key Responsibilities

• Conduct statistical tests to validate hypotheses.
  
• Build and deploy machine learning models.
  
• Analyze large datasets, clean data, and run statistical tests .
  
• Merge and reconcile data from multiple systems.
  
• Apply projection methods to forecast business trends.
  
• Create real-time dashboards using Power BI.
  
• Use Python for EDA, data manipulation, and modelling   and to identify patterns and anomalies.
  
• Collaborate with product and research teams.
  
• Define KPIs using application data.
  
• Maintain data maps ensuring integrity and access.
  
• Develop and update MIS dashboards regularly.
  
• Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation
  

Education

• MSc in Statistics or Post Graduate in Data Science is a must.
  

Experience and Qualification

• Experience working with app-based data and multi-project analytics environments.
  
• Background in creating and managing KPIs aligned with business objectives.
  
• Exposure to big data technologies and cloud-based data platforms.
  
• Ability to work collaboratively in cross-functional teams involving product, research, and engineering stakeholders.
  
• Must have led the data science team in past.
  
• Experience of developing algorithms using a combination of Data Science and statistics
  
• Experience of working with both parametric and non-parametric methods.
  

• Competitive salary and benefits package
  
• Opportunity to make significant contributions to a dynamic company
  
• Walking distance from Chakala metro station, making commuting easy and convenient.
  

At Axis My India, we value discipline and focus. Our team members wear brand on sleeves, adhere to a no-mobile policy during work hours, and work from our office with alternate Saturdays off. If you thrive in a structured environment and are committed to excellence, we encourage you to apply.

About Axis My India

Axis My India Limited is India’s leading consumer data intelligence company, committed to enabling data-driven decision-making. It has launched the "A" App , a people empowerment platform designed to enhance the lives of a billion citizens by providing access to authentic information and practical solutions for everyday needs. The app follows a PHYGITAL model, leveraging Axis My India’s vast network of 5,000+ locations across 700 districts. Powered by Google Cloud and Google Gen AI , it continuously learns and improves to deliver better user experiences. The company is spearheaded by Mr. Pradeep Gupta who is a leading name in market research and is India’s top psephologist.

Job Description

The Senior Analyst will manage, analyze, and interpret data to drive business decisions across multiple projects, including the ‘a’ app and other initiatives. This position requires advanced statistical expertise, proficiency in analytics tools, and the ability to communicate insights effectively to product and research teams. Senior Analyst will be leading the team of 3 to 5 people.

Key Responsibilities

• Conduct statistical tests to validate hypotheses.
  
• Build and deploy machine learning models.
  
• Analyze large datasets, clean data, and run statistical tests .
  
• Merge and reconcile data from multiple systems.
  
• Apply projection methods to forecast business trends.
  
• Create real-time dashboards using Power BI.
  
• Use Python for EDA, data manipulation, and modelling   and to identify patterns and anomalies.
  
• Collaborate with product and research teams.
  
• Define KPIs using application data.
  
• Maintain data maps ensuring integrity and access.
  
• Develop and update MIS dashboards regularly.
  
• Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation
  

Education

• MSc in Statistics or Post Graduate in Data Science is a must.
  

Experience and Qualification

• Experience working with app-based data and multi-project analytics environments.
  
• Background in creating and managing KPIs aligned with business objectives.
  
• Exposure to big data technologies and cloud-based data platforms.
  
• Ability to work collaboratively in cross-functional teams involving product, research, and engineering stakeholders.
  
• Must have led the data science team in past.
  
• Experience of developing algorithms using a combination of Data Science and statistics
  
• Experience of working with both parametric and non-parametric methods.
  

• Competitive salary and benefits package
  
• Opportunity to make significant contributions to a dynamic company
  
• Walking distance from Chakala metro station, making commuting easy and convenient.
  

At Axis My India, we value discipline and focus. Our team members wear brand on sleeves, adhere to a no-mobile policy during work hours, and work from our office with alternate Saturdays off. If you thrive in a structured environment and are committed to excellence, we encourage you to apply.

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.

Freelance Opportunity: Statistician – Demographic & Synthetic Population Modeling (Remote | ₹50,000/month)

Duration: 2-Month Contract (Renewable)

Compensation: ₹0,000/month (net, based on deliverables)

We are seeking a highly qualified freelance statistician to explore and analyze publicly available demographic datasets—including respondent-level microdata where available—and translate them into actionable statistical insights. The ultimate goal is to develop frameworks and schemas for generating synthetic populations of various Indian states.

This project is ideal for a candidate passionate about data exploration, sampling theory, and synthetic data generation for policy, market, or simulation purposes.

• Data Exploration & Cleaning
• Locate, access, and curate publicly available demographic datasets (census, NFHS, WVS, ASER, NSSO, etc.).
• Conduct thorough quality checks and handle missing or inconsistent data.
• Statistical Analysis & Modeling
• Perform distribution analysis, parameter estimation, and relationship mapping between demographic variables.
• Apply sampling techniques to design representative synthetic populations.
• Identify key demographic and behavioral parameters that inform population modeling.
• Schema & Synthetic Population Development
• Build statistical frameworks and schemas to simulate respondent-level data for Indian states.
• Develop replicable workflows and documentation for ongoing data updates.
• Reporting & Communication
• Present findings in clear, visualized formats (tables, charts, dashboards).
• Recommend refinements to improve the representativeness and robustness of the synthetic population models.

• Education: Master’s degree or higher in Statistics, Econometrics, Data Science, or Quantitative Social Sciences from a premier institute (ISI, IITs, IISc, Delhi School of Economics, etc.).
• Core Expertise:
• Advanced understanding of sampling theory and experimental design.
• Strong proficiency in statistical programming (R, Python, or Stata).
• Knowledge of Bayesian inference and synthetic data generation techniques is a plus.
• Experience:
• Prior work with large demographic or respondent-level datasets.
• Track record of producing actionable statistical insights.

• Distribution and parameter analysis
• Survey sampling & weighting
• Regression and multivariate modeling
• Data wrangling and cleaning
• Reproducible workflow creation (scripts, notebooks)
• Clear presentation of statistical findings

• Fixed monthly fee of ₹50,00 NR .
• Flexible, output-oriented schedule.
• Initial engagement for 3 months with potential for extension based on performance.