Lenovo

Responsibilities:

• Assist in gathering, cleaning, and preparing data from internal and external sources.
• Help preprocess data for analysis, including handling missing values, data transformation, and data normalization.
• Conduct exploratory data analysis (EDA) to uncover patterns, trends, and insights.
• Support senior analysts in performing statistical analysis and applying machine learning algorithms where applicable.
• Create dashboards, reports, and visualizations to present findings in an understandable and actionable format.
• Utilize tools like Excel, Power BI, Tableau, or Python libraries (e.g., Matplotlib, Seaborn) to present insights effectively.
• Assist in documenting analysis procedures, methodologies, and findings.
• Provide analytical support to various departments by interpreting data and offering recommendations.
• Participate in team meetings, discussions, and presentations to expand knowledge and skills.

Qualifications:

• Currently pursuing a degree in Computer Science, Software Engineering, Data Science, or a related field.
• Familiarity with programming languages such as Python, R, or SQL.
• Basic understanding of statistical methods and data analysis techniques.
• Strong communication skills, both verbal and written.
• Basic knowledge of SQL and relational databases.
• Strong communication skills and the ability to work collaboratively in a team environment.

Preferred Skills:

• Proficiency in Microsoft Excel; experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Experience with machine learning or AI applications in data analytics.
• Understanding of database management and query optimization.