Position: Data Analytics Intern
Organization: Analytics Career Connect (ACC)
Mode: Remote
Duration: 4–6 Months
Eligibility: 2027, 2028 & 2029 Batches
About the Role
We are seeking motivated and detail-oriented students who are passionate about data analytics and business intelligence. As a Data Analytics Intern, you will work on real-world datasets, perform data analysis, create interactive dashboards, and generate actionable insights to support business decisions.
Key Responsibilities
- Collect, clean, and preprocess data from various sources.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Create reports, dashboards, and visualizations for stakeholders.
- Develop and optimize SQL queries for data extraction and analysis.
- Use Excel for data cleaning, analysis, and reporting.
- Build interactive dashboards using Power BI or Tableau.
- Utilize Python for data manipulation, automation, and analytics.
- Present findings and recommendations through professional reports.
- Collaborate with mentors and team members on live projects.
Required Technical Skills
- SQL – Database querying and data extraction.
- Microsoft Excel – Pivot Tables, VLOOKUP/XLOOKUP, Charts, Data Cleaning.
- Python – Pandas, NumPy, Matplotlib, Data Analysis.
- Power BI / Tableau – Dashboard creation and data visualization.
Preferred Skills
- Strong analytical and problem-solving abilities.
- Basic understanding of statistics and business analytics.
- Good communication and presentation skills.
- Ability to work independently and manage deadlines.
What You'll Gain
- Hands-on experience with real-world data analytics projects.
- Industry mentorship and practical learning.
- Exposure to business intelligence tools and workflows.
- Professional portfolio projects for your resume.
- Career guidance and placement support.
- Opportunity to develop industry-ready analytical skills.
Tools & Technologies
- SQL
- Microsoft Excel
- Python (Pandas, NumPy, Matplotlib)
- Power BI
- Tableau
Apply if you are passionate about turning data into insights and building a career in Data Analytics.
Work Location: Remote
