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Junior Data Analyst Intern

WhatJobs Direct

Owerri · Hybrid Internship Entry Level 3w ago

About the role

About

Our client is looking for an enthusiastic and detail-oriented Junior Data Analyst Intern to join their growing team. This internship offers a fantastic opportunity for a recent graduate or current student to gain hands‑on experience in data analysis, reporting, and business intelligence within a fast‑paced environment. You will work closely with experienced data professionals to support various data‑driven initiatives and contribute to actionable insights. This role will involve a hybrid work schedule, combining remote work with some in‑office presence in Owerri, Imo, NG.

Key Responsibilities

  • Assist in collecting, cleaning, and pre‑processing large datasets from various sources.
  • Perform exploratory data analysis to identify trends, patterns, and anomalies.
  • Support the development and maintenance of dashboards and reports using tools like Power BI or Tableau.
  • Collaborate with team members to understand data requirements and translate them into analytical tasks.
  • Contribute to the documentation of data processes, methodologies, and findings.
  • Help in generating regular reports on key performance indicators (KPIs) and business metrics.
  • Participate in team meetings and present findings to stakeholders.
  • Learn and apply statistical techniques and data visualization best practices.
  • Assist in troubleshooting data quality issues and ensuring data accuracy.
  • Gain exposure to SQL, Python, or R for data manipulation and analysis.
  • Support ad‑hoc data requests from different departments.

Qualifications

  • Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related quantitative field.
  • Strong analytical and problem‑solving skills.
  • Familiarity with data analysis concepts and principles.
  • Basic understanding of databases and SQL is a plus.
  • Proficiency in Microsoft Excel.
  • Experience with data visualization tools (e.g., Tableau, Power BI) is desirable but not required.
  • Knowledge of programming languages like Python or R is an advantage.
  • Excellent communication and teamwork abilities.
  • Eagerness to learn and adapt in a dynamic work environment.
  • Ability to work effectively both independently and as part of a team.
  • Understanding of statistical methods and their application.

This internship provides a solid foundation for a career in data analytics. If you are passionate about data and eager to learn, we encourage you to apply. The role is based in Owerri, Imo, NG, with a hybrid work arrangement.

Requirements

  • Currently pursuing or recently completed a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related quantitative field.
  • Strong analytical and problem-solving skills.
  • Familiarity with data analysis concepts and principles.
  • Basic understanding of databases and SQL is a plus.
  • Proficiency in Microsoft Excel.
  • Experience with data visualization tools (e.g., Tableau, Power BI) is desirable but not required.
  • Knowledge of programming languages like Python or R is an advantage.
  • Excellent communication and teamwork abilities.
  • Eagerness to learn and adapt in a dynamic work environment.
  • Ability to work effectively both independently and as part of a team.
  • Understanding of statistical methods and their application.

Responsibilities

  • Assist in collecting, cleaning, and pre-processing large datasets from various sources.
  • Perform exploratory data analysis to identify trends, patterns, and anomalies.
  • Support the development and maintenance of dashboards and reports using tools like Power BI or Tableau.
  • Collaborate with team members to understand data requirements and translate them into analytical tasks.
  • Contribute to the documentation of data processes, methodologies, and findings.
  • Help in generating regular reports on key performance indicators (KPIs) and business metrics.
  • Participate in team meetings and present findings to stakeholders.
  • Learn and apply statistical techniques and data visualization best practices.
  • Assist in troubleshooting data quality issues and ensuring data accuracy.
  • Gain exposure to SQL, Python, or R for data manipulation and analysis.
  • Support ad-hoc data requests from different departments.

Skills

ExcelPower BIPythonRSQLTableau

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