Data Analyst Intern

Confidential Employer

Job Overview

Location

Remote

Salary

NGN 200,000 - 300,000 monthly

Employment Type

Internship

Work Arrangement

Remote

Sector

Data & Analytics

Experience Level

Entry Level (0-2 years)

Application Deadline

July 29, 2026

Job Description

We are offering a paid internship opportunity for a Data Analyst to join our remote team.

This role is perfect for individuals looking to gain hands-on experience in collecting, cleaning, and analyzing datasets.

You will be instrumental in building reports and dashboards, performing exploratory data analysis, and generating insights to support critical business decisions.

To apply for this role, click the Apply button on this page and follow the instructions.

Required Skills

ExcelGoogle SheetsSQLPythonData analysisPower BITableauData cleaningData visualization

Key Responsibilities

Collect, clean, and analyse datasets
Build reports and dashboards using Excel, Power BI, or Tableau
Perform exploratory data analysis (EDA)
Generate insights to support business decisions
Collaborate with the analytics team on live projects

Qualifications

0–1 year of experience
Strong Excel or Google Sheets skills (pivot tables, charts, formulas)
Basic knowledge of SQL and Python for data analysis
Familiarity with Power BI or Tableau is an advantage

Benefits & Perks

Paid Internship

How to Apply

Apply via email with the subject line: Data Analyst Intern Application.

Join Our Communities

WhatsApp Channels

Global Jobs Gulf Jobs Nigerian Jobs Indian Jobs

Telegram Groups

Global Jobs Nigerian Jobs Gulf Jobs

The data analytics landscape in Nigeria is rapidly expanding, driven by businesses seeking actionable insights to fuel growth. This internship offers a foundational experience in data manipulation and visualization. Essential technical keywords include data cleaning, SQL, Python for data analysis, Power BI, and Tableau. The intern's contribution to data analysis and reporting directly supports informed business decisions, impacting ROI and organizational efficiency at an entry-level scale.