Data Analyst / Data Analysis Intern

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Posted:4 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Data Analyst / Data Analysis Intern (Paid Internship)


Company: Infrabyte Consulting

Location: Remote

Duration: 1–3 Months

Stipend: ₹15,000 per month

Job Type: Internship (Full-Time)

Opportunity: Certificate of Internship + Full-Time Role Based on Performance


About Infrabyte Consulting


Infrabyte Consulting is a data-driven IT consulting and digital solutions company. We help organizations make smarter decisions using analytics, automation, and business intelligence tools. Our internship programs offer practical exposure to real datasets, analytical tools, and professional reporting.


Role Overview


We are looking for a motivated Data Analyst Intern who is passionate about working with data, identifying patterns, and generating meaningful insights. This role provides hands-on experience in data cleaning, visualization, and business analysis.


Key Responsibilities

• Collect, clean, and structure data from various internal and external sources.

• Perform exploratory data analysis (EDA) to uncover insights and trends.

• Create dashboards and reports using Excel, Power BI, or Tableau.

• Analyze datasets to support business decision-making.

• Prepare data visualizations to communicate findings clearly.

• Work closely with the analytics and development teams on ongoing projects.

• Document analytical processes and maintain data accuracy.


Requirements

• Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, Economics, or related fields.

• Strong understanding of Excel, data cleaning, and basic statistics.

• Familiarity with SQL and Python (Pandas, NumPy) is a plus.

• Good communication and presentation skills.

• Strong analytical and problem-solving ability.

• Eagerness to learn and apply real-world data analysis techniques.


Perks & Benefits

• Stipend of ₹15,000 per month.

• Internship certificate upon completion.

• Mentorship from experienced data analysts and data scientists.

• Hands-on experience with live projects and real datasets.

• Opportunity for a full-time role based on performance.

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