Data Analyst Intern

Data Analyst Intern

Company: SkillzenLoop

Location: Remote

Employment Type: Internship (Full-time)

Duration: 1–3 Months

Stipend: ₹15,000 per month

Role Description

SkillzenLoop is seeking an analytical and detail-oriented Data Analyst Intern to join our data team. In this role, you will help us transform raw data into actionable insights that drive growth and operational efficiency. This internship is designed to provide you with hands-on experience in the end-to-end data analysis process, from collection to visualization, within a collaborative remote environment.

Primary Responsibilities

• Data Processing: Collect, aggregate, and clean data from various sources to ensure accuracy and consistency.

• Exploratory Analysis: Use statistical methods to identify trends, patterns, and anomalies in complex datasets.

• Visualization: Design and maintain interactive dashboards using tools like Power BI or Tableau to communicate findings to stakeholders.

• Reporting: Assist in preparing weekly and monthly performance reports with data-backed recommendations.

• Database Support: Help write and optimize SQL queries to retrieve information for ad-hoc analysis.

Requirements

• Education: Currently pursuing or a recent graduate of a degree in Statistics, Mathematics, Data Science, Computer Science, Economics, or a related quantitative field.

• Technical Skills: Proficiency in Microsoft Excel (Advanced formulas, Pivot tables) and fundamental SQL.

• Analytical Tools: Familiarity with visualization software (Tableau, Power BI, or Google Looker Studio).

• Logical Thinking: Strong problem-solving skills and the ability to interpret data results in a business context.

• Commitment: Available for a full-time remote internship for the specified duration.

Internship Benefits

• Stipend: A fixed monthly payment of ₹15,000.

• Certification: Official Internship Completion Certificate from SkillzenLoop.

• Professional Growth: Performance-based Letter of Recommendation (LoR).

• Mentorship: Direct guidance from experienced analysts and a chance to work on high-impact projects.

• Work Style: Fully remote work with a focus on learning and professional development.