ตัวอย่าง Data Analyst Resume Entry Level

ตัวอย่าง Data Analyst Resume Entry Level (ภาษาอังกฤษ)

[Your Name]

[Address]

[City, State, ZIP Code]

[Phone Number]

[Email Address]

Objective:

Detail-oriented and analytical data analyst with a strong foundation in data analysis techniques and tools. Eager to apply my skills and knowledge in a professional setting to contribute to data-driven decision-making and business insights. Seeking an entry-level data analyst position to kick-start my career and gain practical experience in the field.

Education:

Bachelor of Science in Data Analytics [University Name], [City, State] [Year]

Coursework:

• Data Analysis and Visualization
• Statistical Analysis
• Database Management
• Data Mining and Machine Learning
• Business Intelligence

Skills:

• Proficient in data analysis software and tools, including Python, SQL, R, and Excel.
• Strong understanding of statistical analysis techniques and methodologies.
• Experience with data visualization tools, such as Tableau and Power BI.
• Familiarity with database management systems, including MySQL and MongoDB.
• Excellent problem-solving and critical-thinking abilities.
• Strong attention to detail and accuracy in data analysis.
• Effective communication and presentation skills.
• Ability to work independently and collaborate in a team environment.
• Quick learner with a passion for continuous learning and professional growth.

Projects:

[Project Name], [University/Institution], [Year]

• Conducted data analysis on a real-world dataset, including data cleaning, transformation, and visualization.
• Applied statistical analysis techniques to uncover patterns and insights.
• Developed interactive visualizations to present findings and support data-driven decision-making.

Work Experience:

Intern, [Company/Organization], [City, State] [Months]

• Assisted the data analytics team in collecting, cleaning, and analyzing data.
• Created visual reports and dashboards to track key performance indicators.
• Conducted data validation and quality assurance processes.
• Assisted in developing data models and algorithms for predictive analytics.
• Collaborated with team members on data-driven projects and initiatives.

Additional Skills and Certifications:

• Certified Data Analyst (CDA) – [Certification Body], [Year]
• Proficient in Microsoft Office Suite (Word, Excel, PowerPoint).

References:

Available upon request