A data analyst needs a combination of technical and non-technical skills to be successful in their role. Some of the key skills for a data analyst include

• Strong analytical skills: Data analysts must be able to analyze large and complex data sets to uncover patterns, trends, and insights. They must also be able to think critically and solve problems using data.
• Technical expertise: Data analysts must have a strong understanding of data analysis tools and techniques, such as SQL, Python, and data visualization software. They must also be able to write code to manipulate data and build predictive models.
• Data visualization skills: Data analysts must be able to present data in an effective and understandable way. They must be able to create visualizations and dashboards that effectively communicate insights to stakeholders.
• Communication Skills: Data analysts must be able to communicate their findings and insights to stakeholders in a clear and concise manner. They must also be able to collaborate with cross-functional teams and explain technical concepts to non-technical stakeholders.
• Business acumen: Data analysts must have a good understanding of the business context in which they are working. They must be able to use data to inform business decisions and understand the impact of their work on the overall organization.
• Continuous learning: The field of data analysis is constantly evolving, and data analysts must be committed to continuous learning to stay up-to-date with new tools and techniques.

In addition to these skills, data analysts should also have experience working with data, a passion for problem-solving, and the ability to work effectively in a team environment.