Sales Data Engineer - Business Intelligence

Sant Cugat del Vallès (Spain)
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Sales Data Engineer - Business Intelligence

Business Development & Marketing

Sant Cugat del Vallès (Spain)

Ref: JZ1085 February 7, 2024 INDUSTRIE EN UITRUSTING



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

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