- – Data Analyst

Job Summary

We are looking for a Data Analyst with 3–4 years of experience in data analysis, statistical programming, and data processing. The ideal candidate should have strong proficiency in Python, SQL, and advanced Excel, along with experience in data cleaning, transformation, statistical analysis, and reporting. Knowledge of SAS, data visualization, and machine learning techniques will be an added advantage.

Roles and Responsibilities

- Collect, clean, transform, and analyze data from multiple sources to generate meaningful business insights.
- Develop Python scripts for data cleaning, transformation, data profiling, and analysis.
- Write and optimize SQL queries to extract, manipulate, and validate data from relational databases.
- Perform statistical analysis and identify trends, patterns, and business opportunities.
- Gather business requirements and collaborate with stakeholders to understand analytical needs.
- Develop and maintain high-quality Python and SAS code, analytical models, and technical documentation.
- Use advanced Excel, Python, SQL, and statistical tools to support data analysis and reporting.
- Implement data quality checks to ensure data accuracy, consistency, and reliability.
- Develop automated scripts and workflows to improve data processing efficiency.
- Collaborate with cross-functional teams to deliver data-driven solutions and support business decisions.
- Apply appropriate testing and validation techniques to ensure the accuracy of analytical outputs.
- Identify opportunities to improve data analysis processes, reporting,



and automation.

Required Skills and Qualifications

- Bachelor's or Master's degree in Engineering, Data Science, Statistics, Applied Mathematics, or a related field.
- 3–4 years of relevant experience in Data Analysis or a similar role.
- Solid proficiency in Python, SQL, and advanced Excel.
- Experience with data cleaning, transformation, profiling, and statistical analysis.
- Knowledge of SQL databases, MySQL, and relational database management systems (RDBMS).
- Familiarity with statistical programming languages such as SAS, R, or Python.
- Understanding of data validation, quality checks, and analytical documentation.
- Strong analytical and problem-solving abilities with attention to detail.
- Ability to gather requirements, interpret data, and translate findings into actionable insights.

Good-to-Have Skills

- Experience with data visualization tools and dashboard development.
- Knowledge of machine learning algorithms and basic data science concepts.
- Exposure to AWS and cloud-based data solutions.
- Familiarity with automation, scripting, and data processing frameworks.
- Basic knowledge of TensorFlow, Keras, or OpenCV.

Indium is an AI services company that helps enterprises build, scale, and innovate with cutting-edge technology. Backed by the prominent private equity firm EQT, Indium has spent 26 years providing excellence in digital engineering for Fortune 500 firms. With an "AI-first by design" approach, Indium specializes in Agentic AI, Data & Analytics, Application Engineering, and Quality Engineering.

📌 Data Analyst (Hyderabad)
🏢 Indium
📍 Hyderabad