Research Assistant

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About the Organization

The Indian Institute of Management, Ahmedabad, is a business school, located in Ahmedabad, Gujarat, India. It is one of the Indian Institutes of Management and was accorded the status of an Institute of National Importance by the Ministry of Human Resources, Government of India in 2017.

Job Description

We are looking for a motivated Research Assistant to build a fully open-source, executivelevel analytics dashboard. The tool will integrate multiple data sources, run automated pipelines, and present insights for strategic decision-making and governance review. The role is ideal for candidates passionate about open-source analytics, data engineering, visualisation, and decision-support tools.

Job Responsibilities

Open-Source Dashboard Development

• Build an interactive dashboard using R Shiny, Python Dash, or other open-source frameworks.
• Develop modular panels (financial metrics, performance tracking, external indicators, governance signals).
• Ensure reproducibility using open-source libraries only.

Data Collection & Pipeline Engineering

• Use open-source tools for web scraping, APIs, and data extraction (R: rvest, Python: requests, BeautifulSoup).
• Design automated ETL/data-refresh pipelines using CRON, Airflow-OSS, or R/Python-based schedulers.
• Store and manage data using open-source systems (e.g., PostgreSQL, DuckDB, SQLite).

Analytics & Modelling

• Build well-documented analytical scripts for trend analysis, time-series metrics, KPIs, and early-warning indicators.
• Implement models in pure R/Python using open-source packages (e.g., tidyverse, data.table, pandas, statsmodels).

Reporting & Documentation

• Generate open-source–based visual outputs (ggplot2, plotly, matplotlib).
• Prepare markdown-based reports (e.g., R Markdown, Quarto, Jupyter Notebooks).
• Create complete documentation, including installation, dependencies, workflows, and maintenance guides.

Education Qualification/Required Skills & Experience

• Bachelors (completed) in Data Science / Statistics / Economics / Computer Science / Finance / Analytics programs.
• Strong proficiency in R or Python using exclusively open-source libraries.
• Experience with open-source scraping, parsing, and data-cleaning tools.
• Ability to build clear, functional dashboards using open-source frameworks.
• Strong analytical thinking and attention to reproducibility and documentation.

The last date for submission of applications is 27 th December 2025. Applicants are requested not to make follow-up inquiries. Only shortlisted candidates will be contacted.

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