Data Analyst (H/F)
Role Description
The Data Analyst (H/F) is responsible for analyzing and interpreting data to provide valuable insights that drive business decisions. This role involves collecting, cleaning, and organizing large sets of data, using statistical methods and analytical tools to identify trends, patterns, and key business metrics. The Data Analyst supports teams across the organization by presenting data-driven recommendations that help optimize business performance and inform strategy.
Key responsibilities include gathering data from various sources, ensuring its accuracy, and performing data cleaning to remove inconsistencies. The Data Analyst will analyze data using tools like Excel, SQL, and other analytics platforms, generating reports and visualizations that clearly communicate findings to stakeholders. These reports may include performance metrics, forecasts, and recommendations for improvement.
The Data Analyst works closely with different departments to understand their data needs, providing insights and helping to refine data collection and analysis methods. The role requires an understanding of both the technical aspects of data analysis and the ability to translate complex data into actionable insights. In addition, the Data Analyst may assist in building dashboards or other tools to track key performance indicators (KPIs) and business objectives.
With a focus on data integrity, accuracy, and timeliness, the Data Analyst (H/F) ensures that data is always available for decision-making, helping the organization achieve its goals. This role provides an opportunity to work with a wide range of data and make a significant impact on business strategies and operations.
Qualifications
* Strong analytical and problem-solving skills to interpret complex data
* Proficiency with data analysis tools such as Excel, SQL, or other analytics platforms
* Ability to create data visualizations and reports using tools like Tableau, Power BI, or similar
* Strong attention to detail and accuracy in data management and analysis
* Excellent communication skills to present data insights to non-technical stakeholders
* Ability to work collaboratively with cross-functional teams to identify data needs
* Experience in statistical analysis and data modeling techniques is a plus
* Strong organizational skills to manage multiple projects and priorities
* Knowledge of data governance and best practices for data management