Data analyst

Data Analyst (H/F) Role Description & Qualifications

Role Description:

The Data Analyst (H/F) is responsible for gathering, processing, and analyzing data to support decision-making processes within the organization. This role involves transforming raw data into meaningful insights that help improve business performance, optimize operations, and drive strategic decisions across various departments. The Data Analyst collaborates with different teams to understand data needs, identify trends, and provide actionable recommendations based on data-driven findings.

Key responsibilities include collecting and cleaning data from multiple sources, conducting statistical analysis, creating reports and dashboards, and presenting findings to stakeholders in a clear and concise manner. The Data Analyst will also be involved in designing and maintaining data models and databases to support data accessibility and integrity. In addition, they may be tasked with identifying areas for data process improvement and contributing to the development of data strategies that align with business objectives.

This role requires a strong analytical mindset, attention to detail, and the ability to translate complex data into actionable insights. The Data Analyst plays a critical role in driving data-informed decision-making and ensuring that the organization stays competitive by leveraging data effectively.

Qualifications:

1. Educational Background:

2. A Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related field. A Master's degree is a plus for more advanced roles.

3. Analytical Skills:

4. Strong ability to analyze large datasets, identify patterns, and extract valuable insights. Proficiency in statistical analysis and data interpretation is essential.

5. Technical Proficiency:

6. Experience with data analysis tools such as Excel, SQL, Python, R, or similar software. Familiarity with data visualization tools like Tableau, Power BI, or similar is highly desirable.

7. Understanding of data cleaning, data processing, and database management.

8. Attention to Detail:

9. High level of accuracy in data processing and analysis. Ability to ensure data quality and integrity while performing tasks such as data cleaning, transformation, and validation.

10. Problem-Solving & Critical Thinking:

11. Ability to approach data problems with a critical and logical mindset. Capable of suggesting data-driven solutions to improve business processes and outcomes.

12. Communication Skills:

13. Strong written and verbal communication skills. Ability to explain complex data findings to non-technical stakeholders in a simple and clear manner.

14. Experience in creating clear, visually appealing reports and dashboards that help stakeholders easily understand the data.

15. Collaboration & Teamwork:

16. Strong interpersonal skills and the ability to work effectively with various teams, including management, IT, and business units. Willingness to collaborate on data-driven projects.

17. Time Management & Organization:

18. Ability to prioritize tasks, manage multiple projects simultaneously, and meet deadlines in a fast-paced environment.

19. Business Acumen:

20. A solid understanding of how data can drive business strategies and operational efficiency. Ability to connect data insights with business objectives.

21. Adaptability:

22. Willingness to stay up-to-date with the latest trends and technologies in data analysis and business intelligence. Ability to quickly adapt to new tools and techniques as needed.

Additional Skills (Preferred):

• Knowledge of machine learning techniques or experience with advanced analytics tools.
• Experience working with big data platforms or cloud-based analytics tools is a plus.
• Fluency in additional languages can be an advantage, depending on the geographic location of the company.