Ref.JZ February INDUSTRY AND CAPITAL GOODS FUNCTIONS DUTIES & RESPONSABILITIES.Lead and manage the data analytics team, providing guidance, support, and mentorship to ensure their professional growth and development.Develop and implement data analysis strategies, processes, and methodologies to ensure accurate and timely insights.Collaborate with cross-functional teams to understand business requirements and translate them into actionable insights and recommendations.Participate in SBI initiative to support and accelerate the decision-making process.Design and maintain data systems and databases, including data integrity, quality, and security.Perform data mining, statistical analysis,and predictive modeling to identify trends, patterns, and relationships in large datasets.Analyze and implement internal & external data sources to nurture and enrich the company business models.Create and present clear, concise, and visually compelling reports and dashboards to communicate findings to stakeholders and facilitate data-driven decision-making - Promote a data-driven culture within the organization, fostering a focus on data quality, accuracy, and value.Stay current with industry trends, best practices, and emergingtechnologies to maintain acompetitive edge in data analytics - Coordinate the Training-plan with data users to deploy new reports and dashboards.Continuously measure the usage and impact of data to ensure efficiency, accuracy, and relevancy.STRUCTURE.Reporting directly to EMEA Business Operations Manager.Working functionally with HQ (Sales, Marketing, Digital, Business Developers, Pricing...), Global Data Team and EMEA Local Companies.REQUIREMENTS.- Education.Data Science, Statistics, Computer Science, or a related field.Experience 5 years' experience in Data Analysis or Related Field.Strong knowledge of statistical methods, data mining techniques, and predictive modeling.Ability to work with stakeholders to assess potential risks.Strong Power BI modelling and visualization knowledge.Proficiency in data analysis tools and programming languages such as SQL, R, Python, SAS, and Excel.Ability to translate business requirements into non-technical, lay terms.Experience with big data platforms and technologies, such as Snowflake, Hadoop, Spark.Demonstrated experience in handling large data sets and relational databases.Excellent critical thinking,problem-solving, and analytical skills, with a strong attention to detail.WE OFFER.-Permanent position.- Interesting business project.- Atractive salary + flexible -2 days per week - home office#J-18808-Ljbffr
