Data Analyst Intern

NeenOpal Inc.; United States; Remote; USD 60,000 - 80,000; Full time

Job summary

NeenOpal Inc. is looking for a final-year B.Tech student (Batch 2027) to join our data analytics team in a full-time remote role in the United States. You will analyze data, build interactive dashboards in Power BI or Tableau, and collaborate with stakeholders to drive business insights.

You will write SQL queries, develop data pipelines, and apply Python (Pandas) to explore data patterns. We value attention to detail and proactive problem-solving, with a flexible 7–8 hour workday and

Qualifications

• Solid grasp of SQL fundamentals including querying, joins, aggregations, and data manipulation techniques.
• Competence with Power BI or Tableau to design dashboards and visualizations.
• Hands-on proficiency in Python, especially with Pandas library and exploratory data analysis.
• Logical mindset with strong problem-solving abilities and meticulous attention to detail.
• Practical experience in SQL and Python through coursework, projects, or prior internships.
• Ability to work full-time, committing 7–8 hours per day.
• Comfort with remote work arrangements.

Responsibilities

• Developing dashboard prototypes in Power BI or Tableau that translate raw data into actionable business intelligence.
• Creating data pipelines and ETL workflows to automate data processing and ensure data quality.
• Collaborating with team members to clarify requirements and validate analytical approaches.
• Documenting findings and presenting insights through visualizations and reports.

Skills

SQL fundamentals

Dashboard design

Python (Pandas)

Problem solving

Attention to detail

Full-time availability

Remote work

Education

B.Tech (Final year)

Tools

Power BI

Tableau

Pandas

Job description

Batch: 2027.

About the role:

• Conduct data analysis and insights extraction to support business decision-making
• Build and maintain interactive dashboards and visualizations to communicate findings to stakeholders
• Write and optimize SQL queries to retrieve, transform, and aggregate data from databases
• Perform exploratory data analysis using Python libraries such as Pandas to understand data patterns and anomalies
• Work with structured datasets and apply statistical methods to identify trends and opportunities

What you'll work on:

• Developing dashboard prototypes in Power BI or Tableau that translate raw data into actionable business intelligence
• Creating data pipelines and ETL workflows to automate data processing and ensure data quality
• Collaborating with team members to clarify requirements and validate analytical approaches
• Documenting findings and presenting insights through visualizations and reports

What we're looking for:

• Solid grasp of SQL fundamentals including querying, joins, aggregations, and data manipulation techniques
• Competence with Power BI or Tableau to design dashboards and visualizations
• Hands-on proficiency in Python, especially with Pandas library and exploratory data analysis
• Logical mindset with strong problem-solving abilities and meticulous attention to detail
• Practical experience in SQL and Python through coursework, projects, or prior internships
• Ability to work full-time, committing 7–8 hours per day
• Comfort with remote work arrangements

Good to have:

• Familiarity with cloud platforms including Azure, AWS, GCP, or Snowflake
• Foundational knowledge of or genuine interest in ETL and data pipeline development
• Previous data analytics internship or portfolio projects

Who should apply:

• Final-year B.Tech students from Batch 2027