Data Analyst Intern

Raylot Solutions; Bengaluru; On-site; INR 600,000 - 900,000; Full time

Job summary

Raylot Solutions is seeking a data analyst to work with raw datasets, uncover patterns, and build interactive dashboards for stakeholders. You will transform unstructured data into clean datasets and participate in hands-on trial sessions while collaborating with cross-functional teams.

The role requires strong Python, SQL, Excel, and visualization skills, plus knowledge of NumPy/Pandas and basic machine learning concepts. Daily sessions are 4–5 hours long in Bengaluru.

Qualifications

• Bachelor's degree completed in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a closely related discipline.
• Hands-on experience with Python for data manipulation and analysis.
• Competence with SQL to query and retrieve data from databases.

Responsibilities

• Work with raw datasets to uncover meaningful patterns, trends, and insights that drive decision-making
• Construct interactive dashboards and visual reports that communicate findings to stakeholders
• Transform messy, unstructured data into clean, accurate datasets ready for analysis

Skills

Data analysis

Python

SQL

Excel

NumPy

Pandas

Statistical thinking

Machine learning basics

Education

Bachelor’s degree in Data Science or related field

Tools

Python libraries

SQL databases

Excel

NumPy

Pandas

Linux

Job description

Batch: 2025/2026/2027.

About the role:

• Work with raw datasets to uncover meaningful patterns, trends, and insights that drive decision-making
• Construct interactive dashboards and visual reports that communicate findings to stakeholders
• Participate in hands-on trial sessions spanning 2–3 days as assigned by the research team
• Engage with a wearable health-monitoring device provided by the organization, following instructions during testing phases
• Dedicate 4–5 hours daily to structured sessions that combine data work with research activities
• Work alongside team members across different functions to understand what data they need and how to deliver it
• Transform messy, unstructured data into clean, accurate datasets ready for analysis

What you'll need:

• Proficiency in Python for data manipulation and analysis
• Competence with SQL to query and retrieve data from databases
• Strong working knowledge of Excel for calculations, modeling, and quick analysis
• Hands-on experience with NumPy and Pandas libraries for numerical and tabular data work
• Ability to handle various file formats and manage data workflows
• Solid grasp of statistical principles and how they apply to real-world problems
• Familiarity with machine learning concepts and data modeling approaches
• A bachelor's degree completed in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a closely related discipline

It helps if you also have:

• Experience building reports in Tableau or Power BI
• Visualization skills using Matplotlib or similar libraries
• Basic knowledge of Linux environments and command-line operations