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This question is about data analyst resumes.
What are examples of data analysis skills?
Examples of data analysis skills include analytical thinking, problem-solving, technical expertise, data analysis, communication, and teamwork.
A good data analyst should have skills that guide them in manipulating and analyzing large datasets, gaining new information and insights, and then communicating this information effectively to stakeholders and management.
Being able to find new information in data is not as simple as it may sound. To do this requires an understanding of certain coding languages, statistics, databases, and lots of critical thinking.
Data analysts must develop skills to help them gather, organize, and interpret data (e.g., sales figures, inventories, operating costs) and look for patterns or trends. They also need skills related to helping others understand what to do with this information in the form of suggestions that can guide strategic business planning and decisions.
Top skills every data analyst should have:
Data Mining
Data Visualization
Data Cleaning
Structured Query Language (SQL)
Microsoft Excel
Critical Thinking
R or Python-Statistical Programming (Pandas)
Machine Learning
Communication
Project management
Research
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