Data Analyst Intern | Batch 2027 | Full-Time | Remote

NeenOpal is looking for exceptional talent to join our rapidly growing global team. We believe that people are our biggest strength .

Our transparent and collaborative culture gives you the opportunity to work alongside talented professionals, solve real-world business problems, and contribute to impactful client projects. If you enjoy working with data, solving problems, learning new things, and working in a fast-paced environment, we’d love to hear from you.

As a Data Analyst Intern , you will work closely with our Senior Associate Consultants and project delivery teams. You will get hands-on exposure to real-world data analytics and business intelligence projects across areas such as data analysis, dashboard development, research, consulting, and knowledge building .

You will be responsible for completing assigned work with accuracy and quality, identifying relevant resources, communicating progress with senior team members, and contributing to project outcomes.

Key Responsibilities

• Analyze data to identify trends, patterns, and actionable insights .
• Develop and maintain Business Intelligence dashboards using tools such as Power BI and Tableau.
• Work with client teams and internal stakeholders to understand business requirements and deliver data-driven solutions.
• Apply logical and analytical thinking to solve business problems.
• Clearly communicate findings, insights, and recommendations to team members and stakeholders.
• Collaborate with team members across different skill sets and contribute effectively to project delivery.
• Continuously develop your technical, analytical, and professional skills.

Required Skills

• SQL: Good understanding of SQL, including querying, joins, aggregations, and data manipulation.
• Power BI / Tableau: Basic to intermediate knowledge of dashboard development and data visualization.
• Python: Hands-on experience with Python, particularly Pandas and Exploratory Data Analysis (EDA) .
• Analytical Thinking: Strong logical reasoning, problem-solving, and attention to detail.

Good to Have – Not Mandatory

• Exposure to cloud platforms such as Azure, AWS, GCP, or Snowflake .
• Basic understanding or interest in ETL/data pipeline development using SQL, Python, and cloud technologies.

Who Can Apply?

• Final-year B.Tech students – Batch 2027
• Students with hands-on experience in SQL and Python
• Prior internship/project experience in Data Analytics is preferred.
• Available for a full-time internship (7–8 hours/day) .
• Comfortable working in a remote environment .