Role:
- As a Data Analytics Intern, you will work closely with our Data Analytics team to assist in various data-driven projects.
- You will have the opportunity to apply your skills in Excel, Power BI, and data analysis to support decision-making processes across the company.
- This role is ideal for students or recent graduates looking to gain hands-on experience in the field of data analytics.
Responsibilities:
- Data Management:
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform data validation to ensure the accuracy and consistency of data sets.
- Data Analysis:
- Analyze data using Excel (e.g., pivot tables, advanced formulas) to identify trends, patterns, and insights.
- Apply statistical techniques to derive meaningful insights from data.
- Reporting & Visualization:
- Develop, maintain, and update dashboards and reports in Power BI.
- Present findings in a clear and concise manner to stakeholders through reports, charts, and visualizations.
- Assist in automating data reporting tasks for improved efficiency.
- Collaboration:
- Work with various departments to understand their data needs and provide analytical support.
- Communicate analysis results to team members and stakeholders to support business decision-making.
Requirements:
- Education:
- Currently pursuing or completed a degree in Data Science, Statistics, Computer Science, Information Systems, or a related field.
- Technical Skills:
- Excel: Proficiency in Excel, including advanced functions such as VLOOKUP, HLOOKUP, pivot tables, charts, and macros.
- Power BI: Experience with Power BI or similar data visualization tools.
- Data Analysis: Basic understanding of statistical analysis techniques and methods.
- Attention to Detail: Strong focus on accuracy in data management and reporting.
- Basic knowledge of coding and logic.
- Soft Skills:
- Analytical Thinking: Ability to interpret data, identify trends, and suggest data-driven solutions.
- Communication: Strong verbal and written communication skills for presenting data insights to team members.
- Teamwork: Ability to work collaboratively in a team environment.
- Problem-Solving: Resourceful in identifying and resolving issues related to data inconsistencies or challenges.
