Statistician/Data Analyst

Contract
Bengaluru, KA, invia Workable ATSPosted May 13, 2026
Match with my CV

Technical skills

PythonSQLData analysisBusiness intelligenceTechnical writing

About this role

Location: Karnataka

Experience: 5+ Years

Qualification: Bachelor’s / Master’s Degree in Statistics

Job Summary:

We are seeking an experienced Statistician / Data Analyst to support survey analysis, statistical modeling, and data-driven planning activities for Master Plan / Urban Development projects. The candidate should possess strong analytical skills and experience in handling large datasets, statistical tools, and reporting.

Kannada language proficiency is mandatory.

Key Responsibilities

  • Perform statistical analysis on survey and planning data.
  • Analyze large datasets and generate actionable insights.
  • Develop reports, dashboards, and data visualization for project stakeholders.
  • Apply statistical techniques, algorithms, and analytical models for data interpretation.
  • Support GIS and survey teams with data validation and quality checks.
  • Prepare project documentation, summaries, and analytical reports.
  • Coordinate with planning teams, consultants, and government authorities.
  • Ensure accuracy, consistency, and reliability of project data.
  • Required

Skills

  • Strong knowledge of Statistics and Data Analysis.
  • Experience with analytical and statistical tools.
  • Proficiency in Excel, SQL, Python, R, Power BI, or Tableau.
  • Knowledge of survey data analysis and reporting.
  • Strong problem-solving and analytical thinking.
  • Good communication and documentation skills.
  • Preferred Experience:

Should have been involved in analysis of data and use of statistics, algorithms, and other data analytics tools during survey for at least one Master Plan project in the last 5 years.

  • Mandatory Language Requirement:
  • Kannada – Mandatory
  • English – Required
  • Interested candidate can share your resume at Mydesk@habitatgroup.in

Before you apply

  • 1Which parts of your CV prove experience with Python, SQL, and Data analysis?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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