Python Data Analyst Remote in India, India

Data Analyst Intern Company: F6 IT Services Private Limited
Location: Remote, India
Job Type: Internship
Working Hours: Flexible hours
Compensation: F6 IT Services Private Limited is seeking a Data Analyst Intern to support data collection, cleaning, analysis, visualization, and reporting activities.
The selected intern will work on assigned data-related tasks and projects under the guidance of the team. This opportunity is intended for candidates who want to develop practical experience in analyzing real-world data and converting data into meaningful business insights.
Perform exploratory data analysis (EDA) to identify trends, patterns, and insights.
Write and execute SQL queries to retrieve and analyze data.
Create dashboards, charts, and reports to communicate data insights.
Use tools such as Python, Pandas, NumPy, Excel, SQL, Power BI, Tableau, Matplotlib, or Seaborn where appropriate.
Identify data quality issues and assist in resolving inconsistencies.
Assist with business and data-driven analysis projects.
Document analysis methods, assumptions, findings, and recommendations.
Support the team in preparing regular data reports and performance analysis.
Basic understanding of data analytics concepts.
Familiarity with Excel and SQL.
Basic knowledge of Python is preferred.
Understanding of basic statistics and data interpretation.
Basic knowledge of Power BI or Tableau is preferred.
Willingness to learn and work on assigned data analytics tasks.
Location: Remote, India
Internship Type: Full Time
Travel Requirement: No travel required
Relocation: Not required
Practical experience working with real-world datasets.
Experience in data cleaning, preprocessing, and exploratory data analysis.
Hands-on exposure to SQL, Excel, Python, and data analytics tools.
Experience creating dashboards, visualizations, and analytical reports.
Practical understanding of data-driven decision-making.
Experience communicating insights and findings to a team.
Opportunity to develop technical, analytical, and professional skills through assigned data analytics projects.
Candidates may be evaluated based on their application, relevant technical skills, analytical knowledge, and suitability for the internship.
Interested candidates should apply through LinkedIn before 27 August 2026 .