Data Analyst (H/F) — Role Description
A Data Analyst (H/F) plays a crucial role in transforming raw information into meaningful insights that support informed decision-making across the organization. This position focuses on collecting, organizing, and analyzing large sets of data in order to identify patterns, trends, and opportunities that drive strategic and operational improvements. Working closely with cross-functional teams, the Data Analyst ensures that stakeholders have access to accurate, timely, and actionable information.
Core responsibilities include maintaining databases, designing analytical models, and producing visualizations that clearly communicate complex findings. The Data Analyst interprets quantitative results, evaluates business questions, and supports the development of data-driven recommendations. This may involve building dashboards, preparing reports, and developing metrics that help monitor performance and measure progress against organizational goals.
The role also contributes to data quality initiatives, ensuring that information is consistent, reliable, and aligned with internal standards. The Data Analyst collaborates with technical, operational, and leadership teams to streamline data processes, enhance reporting accuracy, and support the integration of data tools and technologies. Curiosity, attention to detail, and an analytical mindset are essential, as the position requires transforming diverse datasets into valuable insights that guide long-term success.
Qualifications
* Strong analytical abilities and proficiency in interpreting quantitative data
* Skill in using data analysis tools, spreadsheets, visualization platforms, and reporting software
* Ability to clean, organize, and validate datasets with accuracy and precision
* Clear communication skills for presenting findings to both technical and non-technical audiences
* Capacity to create dashboards, charts, and data summaries that highlight key insights
* Understanding of statistical concepts, data structures, and performance metrics
* Ability to work with databases and apply structured problem-solving methods
* Strong attention to detail and commitment to maintaining data integrity
* Ability to manage tasks, prioritize deadlines, and support multiple stakeholders
* Curiosity, adaptability, and enthusiasm for transforming data into strategic value