Data analyst (H/F)

Data Analyst (H/F) - Role OverviewThe Data Analyst (H/F) is responsible for collecting, processing, and analyzing data to provide actionable insights that support key business decisions. This role is essential in helping organizations leverage data to enhance performance, identify trends, and solve complex business problems. The Data Analyst works closely with various departments to ensure that data-driven strategies are implemented effectively and that decisions are based on accurate, reliable information.Key responsibilities include gathering and cleaning data from multiple sources, performing statistical analysis, and creating reports that highlight trends, patterns, and key metrics. The Data Analyst will also collaborate with cross-functional teams to interpret data findings, develop predictive models, and provide recommendations for business improvements. Visualizing data through dashboards and creating easy-to-understand reports will also be a key part of the role.The Data Analyst (H/F) will play a crucial role in improving data-driven decision-making within the company, contributing to business optimization, efficiency, and strategy.QualificationsTo be eligible for the Data Analyst (H/F) position, candidates should hold a degree in data science, statistics, mathematics, computer science, economics, or a related field. Strong analytical skills and experience with data analysis tools such as SQL, Excel, and Python (or R) are essential. Familiarity with data visualization tools like Power BI, Tableau, or similar software will be highly valued.The ideal candidate will have a solid understanding of statistical methods, data modeling, and data cleaning techniques. Excellent attention to detail and problem-solving skills are key, as the role involves working with large, complex datasets and ensuring that data is accurate and reliable. A good communicator is essential, as the Data Analyst must be able to translate complex data into actionable insights that can be easily understood by non-technical stakeholders.In addition, candidates should be comfortable working in a fast-paced, dynamic environment and possess a proactive attitude towards learning new tools and methodologies. Experience with machine learning algorithms and big data technologies (such as Hadoop, Spark) will be a plus, but not required. Strong organizational skills and the ability to manage multiple tasks simultaneously will be beneficial for success in this role.