Sales Data Engineer - Business Intelligence
Commercial & Marketing
Sant Cugat del Vallès (Spain)
Ref: JZ1085
February 7, 2024
INDUSTRIE ET BIENS D'ÉQUIPEMENT
FONCTIONS
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
