Assistant Manager

Indian School of Business; Hyderabad; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Indian School of Business in Hyderabad is seeking a Data Analyst to join the Program Analytics Team. You will work with structured and unstructured data to generate insights, build models, and support data-driven decision-making across the organization.

The role involves analyzing large datasets with Python, developing ML models for classification and NLP tasks, and designing dashboards in Power BI. You will also optimise SQL queries, prepare executive summaries in PowerPoint, and collaborate

Qualifications

• Bachelor's or Master’s degree in a quantitative field or related; strong portfolio may waive formal requirements.
• 1–2 years of hands-on data analyst experience with real-world datasets and delivering analytics outputs.
• Proficiency in Python, SQL, and BI tools; ability to communicate insights clearly.

Responsibilities

• Analyse large datasets using Python to surface actionable insights.
• Build, evaluate, and maintain ML models for classification, regression, and NLP tasks.
• Integrate and work with generative AI, including local and cloud-hosted LLMs, to augment analytical workflows.
• 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, distributions) to validate findings.
• Collaborate with cross-functional stakeholders to translate business questions into analytical frameworks.

Skills

Python

Power BI

SQL

Excel

PowerPoint

Statistics

Education

Bachelor's or Master’s in Statistics, Mathematics, Data Science, Analytics, CS or related quantitative field

Formal education may be waived with work experience and portfolio

Tools

PySpark

FastAPI

Streamlit

Gradio

Linux CLI

Azure

GCP

AWS

Job description

Data Analyst

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)