Indian School of Business
Website:
isb.edu
Job details:
Data Analyst
Assistant Manager - Program Analytics Team | Full-Time | 1–2 Years Experience
About the Role
We are looking for a detail-oriented and analytically driven Data Analyst to join our growing analytics team. You will work with structured and unstructured datasets to generate insights, build models, and support data-driven decision-making across the organisation.
Key Responsibilities
- Analyse large datasets using Python to surface actionable insights
- Build, evaluate, and maintain machine learning models for classification, regression, and NLP tasks
- Integrate and work with generative AI, including local and cloud-hosted LLMs, to augment analytical workflows and automate text-heavy tasks
- Design and maintain interactive dashboards and reports in Power BI
- Write and optimise SQL queries for data extraction, transformation, and reporting
- Prepare executive-ready presentations and summaries in PowerPoint; maintain structured data in Excel
- Apply statistical methods (e.g. hypothesis testing, regression analysis, distribution modelling) to validate findings
- Collaborate with cross-functional stakeholders to translate business questions into analytical frameworks
Required Skills & Qualifications
Technical Skills
- Python: pandas, scikit-learn, seaborn, NLTK
- Data visualisation: Power BI (report building, DAX, data modelling)
- Databases: SQL (query writing, joins, aggregations, window functions)
- Office tools: Microsoft Excel (PivotTables and Power Query) and PowerPoint
- Statistical acumen: hypothesis testing, A/B testing, regression, probability distributions, significance testing
Education
- Bachelor’s or master’s degree in Statistics, Mathematics, Data Science, Analytics, Computer Science, Engineering, or a related quantitative field
- Formal education requirements may be waived for candidates who demonstrate equivalent competence through work experience and a strong portfolio
Experience
- 1–2 years of hands-on work experience in a data analyst, business analyst, or equivalent role
- Demonstrated experience working with real-world datasets and delivering analytical outputs
Good to Have
- Familiarity with NLP pipelines and text analytics
- Experience with big data processing using PySpark
- Linux CLI proficiency: navigating file systems, shell scripting, running jobs on remote servers
- ML deployment exposure: serving models via FastAPI and building lightweight interfaces using Streamlit or Gradio
- Knowledge of data warehousing concepts or cloud platforms (Azure, GCP, AWS)
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