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Data Analyst Intern
Inficore Soft
Location: Remote
Type: Full-Time Internship
Stipend: 18,000/month
Duration: 13 Months
Inficore Soft is looking for a motivated Data Analyst Intern who is eager to work with real business data and derive meaningful insights. This internship offers an opportunity to understand how data is used to drive decisions, improve processes, and support business growth. You will be involved in practical tasks that strengthen your analytical thinking and technical skills.
Key Responsibilities
Work with raw data from multiple sources and prepare it for analysis
Ensure data accuracy through validation, cleaning, and consistency checks
Develop reports and dashboards using tools like Excel, Power BI, or Tableau
Analyze datasets to identify patterns, trends, and business insights
Support in building simple data models and improving data workflows
Coordinate with teams to understand requirements and deliver data-driven solutions
Handle ad-hoc reporting tasks and assist in ongoing analysis projects
Keep proper records of data processes and reporting structures
Required Skills
Working knowledge of Excel or Google Sheets, including formulas and data handling
Clear understanding of basic data analysis techniques
Exposure to SQL is beneficial
Familiarity with Python or R is an added advantage
Strong logical thinking and problem-solving ability
Good communication skills and attention to detail
Comfortable working independently in a remote setup
Eligibility Criteria
Open to students and recent graduates from any background with interest in analytics
Freshers with a willingness to learn are encouraged to apply
Candidates with project work or certifications in data-related fields will stand out
Availability for a full-time remote internship is required
Perks and Benefits
Stipend of 18,000 per month
Practical exposure to real-world data and business use cases
Internship completion certificate
Opportunity to build a portfolio with hands-on project experience
Experience with tools and workflows used in the industry
Supportive environment focused on learning and growth
This role is well-suited for individuals who want to begin their journey in data analytics and gain practical experience by working on real datasets and business challenges.
Job ID: 145343921