6 Statistical Analysis jobs in Jaipur

• Assist senior data analysts in collecting, cleaning, and processing large datasets.
• Perform exploratory data analysis to identify trends, patterns, and insights.
• Develop and maintain reports and dashboards to visualize key metrics.
• Support the creation of data models and algorithms under guidance.
• Collaborate with team members to define data requirements for projects.
• Conduct literature reviews on relevant data analysis techniques.
• Ensure data accuracy and integrity throughout the analysis process.
• Present findings and insights to the team in a clear and concise manner.
• Learn and apply new data analysis tools and technologies.
• Contribute to documentation of data processes and methodologies.

• Recent graduate with a degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and data analysis principles.
• Proficiency in at least one programming language (e.g., Python, R) for data manipulation and analysis.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Excellent analytical and problem-solving skills.
• Ability to work independently and manage time effectively in a remote setting.
• Strong communication skills, both written and verbal.
• Eagerness to learn and adapt to new technologies.
• Demonstrated ability to work collaboratively in a virtual team environment.
• A passion for uncovering insights from data.

We are seeking a skilled Data Analysis and Operations Specialist to join our team. As a key member of our revenue growth team, you will be responsible for maintaining CRM data, creating reports and dashboards, and assisting with process improvements.

This role is ideal for someone who enjoys working with data, learning new tools, and contributing to the growth of a fast-scaling company.

• Manage and maintain HubSpot CRM systems, including workflows, automations, data hygiene, and system integration.
• Generate regular reports and dashboards to track pipeline metrics, sales performance, and go-to-market activities.
• Assist in designing and executing sales incentive plans.
• Conduct data analysis to identify trends, gaps, or anomalies in sales and marketing processes.
• Support Dealhub CPQ tool operations and related processes.
• Collaborate with cross-functional teams to ensure smooth data flow and process adherence.
• Document processes, dashboards, and operational guides.

To succeed in this role, you should have the following skills and qualifications:

• 1.5+ years of experience in Sales Operations at a product-based SaaS company.
• Proven experience in managing HubSpot CRM, including workflow design and administration.
• Strong ability to create reports and dashboards using HubSpot/Salesforce/Google Sheets/Excel.
• High proficiency in Excel and Google Sheets, including building dynamic dashboards and models.
• Familiarity with Dealhub CPQ tools.
• Experience in designing and developing sales incentive plans.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication, collaboration, and project management abilities.
• Comfortable operating in a fast-paced environment with shifting priorities.

As a valued member of our team, you can expect the following benefits:

• A high-performing action-oriented team
• Flat-hierarchy, performance-driven culture
• Rapid growth and learning opportunities
• Comprehensive medical insurance coverage
• Competitive package, benefits and employee-friendly work culture

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

Duration: 2-Month Contract (Renewable)

Compensation: 50,000/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 50,000 INR .
• Flexible, output-oriented schedule.
• Initial engagement for 3 months with potential for extension based on performance.

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.

• Utilizing satellite imagery, airborne geophysical data, and other remote sensing platforms to identify prospective geological targets for mineral exploration.
• Performing in-depth geological data analysis, including structural interpretation, lithological mapping, and alteration zone identification.
• Developing and refining geological models for various commodities, integrating diverse datasets to predict mineralization.
• Collaborating with geoscientists, geochemists, and data scientists to integrate and analyze exploration data.
• Planning and overseeing remote sensing data acquisition campaigns.
• Assessing the potential economic viability of identified targets through comprehensive geological and geophysical interpretations.
• Preparing detailed technical reports, presentations, and recommendations for exploration strategy and potential investments.
• Staying abreast of the latest advancements in remote sensing, GIS, geological modeling software, and exploration techniques.
• Providing expert geological input to multidisciplinary teams for project feasibility studies.
• Mentoring junior geologists and contributing to the knowledge base of the exploration department.