Data Analytics

Job summary

Join the AixilCoils NextGenSoft Internship Programme as a Data Analytics Intern. Gain hands-on experience analyzing real-world datasets, building dashboards, uncovering actionable insights, and working with experienced mentors to develop practical data analytics skills in a collaborative remote environment.

Min Qualification: High School (S.S.C.E) Experience Level: Internship & Graduate Experience Length: No Experience/Less than 1 year Language Requirement: English Working Hours: Internship & Graduate - Flexible Hours Applicant Location: Remote (Work From Home), Nigeria

Job descriptions & requirements

Responsibilities:

As a Data Analytics Intern, you will:

• Collect, clean, and organize data from multiple sources.
• Analyze datasets to identify trends, patterns, and business insights.
• Create reports and dashboards to communicate findings effectively.
• Assist in developing data visualization solutions.
• Support business and product teams with data-driven recommendations.
• Monitor key performance indicators (KPIs) and generate performance reports.
• Perform basic statistical analysis on datasets.
• Collaborate with cross-functional teams on data-related projects.
• Maintain data accuracy, integrity, and documentation.
• Participate in mentorship sessions, training, and collaborative learning activities.

Requirements:

• Basic knowledge of Microsoft Excel or Google Sheets.
• Strong analytical and problem-solving skills.
• Good numerical reasoning and attention to detail.
• Basic understanding of data analysis concepts.
• Familiarity with SQL, Python, Power BI, or Tableau is an added advantage.
• Ability to interpret data and communicate findings clearly.
• Good communication and teamwork skills.
• Willingness to learn and adapt in a collaborative environment.

What you'll gain:

• Data Analysis
• Data Cleaning
• Microsoft Excel
• Google Sheets
• SQL
• Power BI
• Tableau
• Python for Data Analysis
• Data Visualization
• Dashboard Development
• Business Intelligence
• KPI Reporting
• Statistical Analysis
• AI-assisted Data Analytics

Tools You'll Use:

• Microsoft Excel
• Google Sheets
• Power BI
• Tableau
• SQL
• Python
• Jupyter Notebook
• Google Colab
• Notion
• Slack
• Google Workspace
• AI-powered analytics tools