Dat Analys (Entry / Junior Level)

SPE Universiti Malaya Student Chapter (SPE UM SC)

United StatesFresher1h agovia LinkedIn

About the Role

The Fresher Data Analyst (Entry / Junior Level) role at SPE Universiti Malaya Student Chapter (SPE UM SC) is a part-time, remote position. It is designed for students or recent graduates interested in data-driven decision making.

Key Responsibilities

  • Collect, organize, and maintain chapter-related data (e.g., event participation, membership statistics, social media metrics).
  • Assist in cleaning datasets.
  • Generate basic reports.
  • Create simple visualizations to help the committee understand trends and improve student engagement.
  • Compile data from online forms.
  • Update spreadsheets or dashboards.
  • Present key findings to the executive committee in a clear and concise manner.
  • Collaborate with different teams to support planning, marketing, and evaluation of chapter activities using data insights.

Requirements & Tech Stack

  • Foundational data skills, including familiarity with spreadsheets (e.g., Excel, Google Sheets).
  • Basic data organization, cleaning, and analysis.
  • Ability to create simple charts, tables, and visualizations.
  • Ability to summarize data findings in a clear, structured format for non-technical audiences.
  • Basic understanding of statistics or quantitative methods (e.g., averages, percentages, trend analysis).
  • Willingness to learn more advanced concepts.
  • Strong attention to detail and accuracy in data entry.
  • Methodical approach to handling and reviewing information.
  • Effective written and verbal communication skills.
  • Ability to collaborate remotely using online tools and platforms.
  • Self-motivated and able to manage part-time responsibilities alongside academic commitments.
  • Good time management skills.

Qualifications

  • Currently enrolled in or recently graduated from a program in engineering, science, data analytics, mathematics, business, or a related field is an advantage.
  • Interest in the energy or oil and gas sector.
  • Interest in applying data analysis to student activities, events, and outreach initiatives.

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