Sales Data Engineer - Business Intelligence

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