Live opening · Posted 3 days ago
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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.
Work arrangement
Yes
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