
Unlocking Insights as a Student Data Analyst
2 days ago
Embark on an extraordinary journey with our FinTech start-up as a talented and motivated student intern for a Data Analyst role. This is an exceptional opportunity to hone your analytical skills, extract meaningful insights from complex datasets, and contribute to data-driven decision making.
- As part of the internship, you will engage in multiple mini-projects across various functional areas of the company.
- Key responsibilities include:
Gather data from various sources and databases
Clean and pre-process data to ensure quality and usability
Develop and maintain data pipelines
Implement data validation procedures and quality checks
Data Analysis & ModellingApply statistical methods to interpret datasets
Identify patterns, trends, and correlations in complex data
Develop predictive models and conduct hypothesis testing
Create data-driven solutions for business problems
Data Visualization & ReportingCreate interactive dashboards and visual reports
Develop compelling data visualizations to communicate findings
Present analytical insights to stakeholders
Automate regular reporting processes
Business IntelligenceTransform raw data into actionable business insights
Support decision-making processes with data-backed recommendations
Monitor key performance indicators and metrics
Identify opportunities for process optimization
Complete an end-to-end data analysis project including problem definition, data collection and preparation, analysis and modelling, visualization of results, and recommendations based on findings.
What You Will Learn- Practical experience with data analysis tools and techniques
- Hands-on skills in data visualization and dashboard creation
- Strong analytical and problem-solving abilities
- Effective communication of technical findings to non-technical audiences
- Knowledge of AI and machine learning applications in data analytics
- Student or fresh graduate from any academic discipline
- Strong analytical and quantitative skills
- Basic knowledge of data analysis tools (Excel, SQL, Python, or R)
- Interest in working with data and deriving insights
- Willingness to self-learn and work in a fast-paced environment
Duration: Self-paced. Option of 1 month or 2 months within a period of 4 months provided.
Type: Unpaid
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