Data Analyst Internship – Learntricks Edutech

Learntricks Edutech Internship Program Overview. Source: Notes Gallery

Company: Learntricks Edutech

Role Title: Data Analyst Intern

Number of Openings: 10

Application Deadline: March 11, 2026 (05:57 AM IST)

Target Candidates: Undergraduate & Postgraduate Students (Engineering, Management, Arts, Commerce, Sciences & Others)

Core Focus Areas: Exploratory Data Analysis (EDA), Data Visualization, Business Intelligence Reporting, Industry Research

About Learntricks Edutech

Learntricks Edutech is an education technology platform dedicated to practical skill development, offering structured learning programs, internships, and project-based exposure across technology, analytics, and digital domains.

Role Overview

Learntricks Edutech is inviting applications for 10 Data Analyst Intern positions. This foundational internship is structured for undergraduate and postgraduate students seeking entry-level exposure to exploratory data analysis, dashboard creation, and data-driven business reporting.

Interns will work alongside core team members to process datasets, identify operational trends, support internal analytics workflows, and present clear visual charts and summary decks.

Key Responsibilities

• Exploratory Data Analysis (EDA): Clean, inspect, and analyze raw datasets to uncover underlying patterns, trends, and key business insights.

• Data Visualization & Dashboarding: Design clean charts, graphs, and simple dashboards to communicate analytical findings clearly.

• Reporting & Documentation: Assist the team in preparing structured, data-informed presentations and documentation for internal reviews.

• Workflow & Tool Optimization: Support the development, testing, and refinement of internal data collection tools and analytics workflows.

• Industry Research: Research emerging data analytics frameworks, best practices, and visualization tools to share during team discussions.

• Team Collaboration: Active participation in team meetings, stand-ups, and project discussions to track progress and share insights.

Eligibility Criteria

• Education Level: Currently pursuing or recently completed Undergraduate or Postgraduate degrees.

• Eligible Disciplines: Open to all academic streams, including Engineering, Management, Arts, Commerce, Sciences, and allied technical or non-technical fields.

• Experience Required: None (fresher-friendly role).

• Core Competencies: Basic understanding of data analysis concepts, curiosity to learn visualization tools (Excel, SQL, Power BI, or Python), and good written/verbal communication skills.

Role Summary