Data Analytics - Internship (WFH)

About the internship:We are looking for a motivated and detail-oriented Data Analytics Intern to join our team remotely. This internship offers practical exposure to data collection, cleaning, analysis, reporting, and visualization while working with real-world business data.

Selected intern's day-to-day responsibilities include:

1. Collect, clean, organize, and analyze data from various sources.

2. Assist in preparing daily, weekly, and monthly reports.

3. Work with MS Excel, Google Sheets, and other data analysis tools.

4. Create dashboards and data visualizations using Power BI or Tableau.

5. Identify trends, patterns, and insights from datasets.

6. Support the team in tracking business performance and key performance indicators (KPIs).

7. Maintain data accuracy and update databases regularly.

8. Assist in preparing presentations and analytical reports.

9. Coordinate with team members on assigned data-related tasks.Who can apply:Only those candidates can apply who:are available for the work from home job/internshipcan start the work from home job/internship between 19th Oct'26 and 23rd Nov'26are available for duration of 3 monthshave relevant skills and interestsStipend:INR₹ 3,000 - 3,001 /monthDeadline:[hidden]:59:59Skills required:MS-Word, SQL, Data Analytics, MS-Excel, Power BI and TableauOther Requirements:Requirements1. Be currently pursuing or have recently completed a degree in Data Analytics, Computer Science, Statistics, Mathematics, BCA, B.Sc., B.Tech., or a related field.2. Have basic knowledge of MS Excel and Google Sheets.3. Familiarity with SQL, Python, Power BI, or Tableau is an added advantage.4. Possess good analytical and problem-solving skills.5. Have a basic understanding of data cleaning, reporting, and visualization.6. Demonstrate strong attention to detail and organizational skills.7. Be able to work independently in a remote environment.8. Have good communication skills and a willingness to learn.Preferred Skills1. Knowledge of Advanced Excel, including pivot tables, VLOOKUP/XLOOKUP, and formulas.2. Basic understanding of SQL queries.3. Familiarity with Python libraries such as Pandas and NumPy.4. Experience creating dashboards using Power BI or Tableau.5. Interest in business analytics and data-driven decision-making.About Company:At Adexmediahub, our mission is to revolutionize the digital marketing sphere by providing cutting-edge solutions that drive success for our clients. We aim to be the driving force behind your brand's online presence, enhancing visibility, engagement, and, ultimately, profitability.Additional information:Internship Details

1. Work Mode: Work From Home (WFH)

2. Duration: 3 months

3. Working Days: Monday to Saturday

4. Working Hours: 10:00 AM to 7:00 PM

5. First Month: Unpaid training period

6. Second Month: ₹3,000 stipend

7. Third Month: ₹3,000 stipend

8. Total Stipend: ₹6,000 for the complete internship

What You'll Gain

1. Hands-on experience with real-world datasets.

2. Practical exposure to data analytics tools and techniques.

3. Experience in data visualization and business reporting.

4. Opportunities to improve technical and analytical skills.

5. An internship completion certificate upon successful completion, as per company policy.

How to Apply

Interested candidates can share their updated resumes with the HR team.

Responsibilities

We are looking for a motivated and detail-oriented Data Analytics Intern to join our team remotely. This internship offers practical exposure to data collection, cleaning, analysis, reporting, and visualization while working with real-world business data.

Selected intern's day-to-day responsibilities include:

1. Collect, clean, organize, and analyze data from various sources.

2. Assist in preparing daily, weekly, and monthly reports.

3. Work with MS Excel, Google Sheets, and other data analysis tools.

4. Create dashboards and data visualizations using Power BI or Tableau.

5. Identify trends, patterns, and insights from datasets.

6. Support the team in tracking business performance and key performance indicators (KPIs).

7. Maintain data accuracy and update databases regularly.

8. Assist in preparing presentations and analytical reports.

9. Coordinate with team members on assigned data-related tasks.