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Data Scientist

2 weeks ago

Noida, Uttar Pradesh, India GeoTechnoSoft Full time ₹ 1,04,000 - ₹ 1,30,878 per year

Location: Noida, Uttar Pradesh / Patna, Bihar (On-site)

Type: Full-time

Note: This is an on-site position. Candidates seeking a work-from-home arrangement should not apply.

About the Role

We are seeking a highly motivated and skilled Data Analyst with a strong proficiency in R to join our team at GeoTechnoSoft. In this role, you will be responsible for transforming raw data into actionable insights that drive business strategy and decision-making. The ideal candidate will have a keen eye for detail, a passion for problem-solving, and a solid foundation in data manipulation, visualization, and statistical analysis.

Key Responsibilities
  • Work with stakeholders to define business questions and identify relevant data sources.
  • Clean, process, and analyze complex datasets using R, with a focus on libraries such as the tidyverse (including dplyr and ggplot2) and tidyr.
  • Develop and maintain dashboards, reports, and data visualizations using R libraries like ggplot2 and Shiny to communicate findings to both technical and non-technical audiences.
  • Write and optimize SQL queries to extract data from various databases.
  • Perform statistical analysis to identify trends, patterns, and correlations within the data.
  • Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.
  • Collaborate with data engineers and data scientists to build robust data pipelines and models.
  • Present findings and recommendations to leadership in a clear and compelling manner.
Required Skills & Qualifications
  • Bachelor's degree in a quantitative field such as Computer Science, Statistics, Mathematics, Economics, or a related discipline.
  • Proven experience as a Data Analyst or in a similar role.
  • Strong proficiency in R for data analysis. You should be comfortable with data wrangling, cleaning, and exploratory data analysis using libraries like the tidyverse.
  • Solid experience with SQL for querying and managing databases.
  • Experience with data visualization tools and libraries (e.g., ggplot2, Shiny).
  • Excellent analytical and problem-solving skills, with a methodical approach to data analysis.
  • Strong communication and presentation skills, with the ability to explain complex findings to diverse audiences.
Preferred Qualifications
  • Master's degree in a quantitative field.
  • Experience with cloud-based data warehouses (e.g., BigQuery, Snowflake, Redshift).
  • Familiarity with version control systems, such as Git.
  • Knowledge of basic statistical modeling and machine learning concepts.
  • Familiarity with data visualization tools like Power BI and Tableau.
What We Offer
  • Competitive salary and benefits package.
  • Opportunities for professional growth and skill development.
  • A collaborative and innovative work environment.
  • The chance to make a real impact on business decisions.

How to Apply

Please submit your resume and a cover letter detailing your experience with R for data analysis to We look forward to hearing from you