Live opening · Posted 7 hours ago
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About the role
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Company Description Weskill is an innovative online training platform focused on upskilling undergraduate students through practical, hands-on learning. The organization designs programs that close the gap between academic curricula and real-world corporate expectations. By emphasizing job-ready skills and industry-relevant projects, Weskill helps learners build strong professional foundations. Graduates are equipped to thrive in high-growth startups and leading multinational companies, supporting a promising career trajectory.
Role Description The Data Analytics Intern role at Weskill is a remote internship focused on supporting data-driven decision-making across the organization. Day-to-day responsibilities include collecting and organizing data from various sources, performing exploratory data analysis, and preparing reports or dashboards that highlight key trends and insights. The intern will assist in building and refining data models, validating data quality, and documenting analytical processes. This role also involves collaborating with mentors and cross-functional team members to translate business questions into measurable metrics and analytical tasks.
Qualifications
Candidates should possess skills in Data Analytics and Data Analysis to interpret datasets and generate actionable insights.
Candidates should possess strong Analytical Skills to identify patterns, solve problems, and support data-driven decisions.
Candidates should possess skills in Data Management to collect, clean, and maintain structured and unstructured data.
Candidates should possess knowledge of Data Modeling to help design basic data structures and support analytical workflows.
Familiarity with tools such as Excel, SQL, or introductory data visualization platforms (e.g., Power BI, Tableau) is beneficial.
Enrollment in or completion of an undergraduate program in a quantitative, technical, or related field is preferred.
Ability to work independently in a remote environment, manage time effectively, and communicate findings clearly in writing and presentations.
Curiosity to learn, attention to detail, and openness to feedback and mentorship are highly valued.
Work arrangement
Yes
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