Data Analytics
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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
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