Data analyst (H/F)

Data Analyst (H/F) – Role Description & QualificationsA Data Analyst (H/F) plays a crucial role in transforming data into actionable insights that support decision-making across business functions. This position involves collecting, processing, and analyzing large datasets to identify patterns, trends, and opportunities. The role bridges technical analysis with strategic understanding, enabling teams to make informed, data-driven decisions that enhance performance and drive measurable results.Key responsibilities include designing and maintaining data models, generating reports, and creating visualizations to communicate findings clearly and effectively. The Data Analyst ensures data integrity, consistency, and accuracy while applying statistical and analytical methods to interpret complex information. The role also involves monitoring key performance indicators (KPIs), identifying anomalies, and providing recommendations to improve operational efficiency, business processes, or strategic outcomes.Collaboration and communication are central to this role. The Data Analyst works closely with stakeholders across functions, including management, marketing, operations, and IT, to understand analytical requirements and deliver insights tailored to organizational needs. The ability to translate technical findings into clear, actionable recommendations is essential. The role also involves supporting data governance initiatives, implementing best practices for data management, and contributing to the optimization of data collection, storage, and analysis processes.QualificationsCandidates should demonstrate strong analytical and quantitative skills, including proficiency in data analysis, statistics, and visualization techniques. Familiarity with data management tools, programming languages (such as SQL, Python, or R), and business intelligence platforms is essential for processing, analyzing, and presenting complex datasets effectively. The role requires critical thinking, problem-solving ability, and attention to detail to ensure accuracy and reliability of analytical outputs.Additional qualifications include excellent communication skills, both written and verbal, to convey insights clearly to technical and non-technical audiences. Organizational skills, adaptability, and the ability to manage multiple projects simultaneously are key to supporting dynamic business needs. A proactive, results-oriented mindset and commitment to data quality, integrity, and ethical use are essential for delivering actionable insights that contribute meaningfully to business objectives.