Data Analytics
hace 3 semanas
Data Analytics & Reporting Senior Specialist, Healthcare Solutions & Partnerships EMEA MadridThis job is with Boston Scientific, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.About the Role:The Data Analytics and Reporting Senior Specialist will be responsible for preparing analytics and insights for key stakeholders within the Healthcare Solutions & Partnerships (HS&P) Business Unit. This role aims to enhance operational efficiency and optimization within the C&CE (Commercial & Customer Engagement Excellence) team by integrating the latest developments in Machine Learning and Artificial Intelligence. The selected candidate will promote a culture of data-driven decision-making, optimize data architecture, and support the development and implementation of data collection/management systems.In this role, you will be responsible to:Promote Data-Driven Decision Making: Foster a culture of data-driven decision-making within the divisional Sales and Marketing communities.Optimize Data Architecture: Enhance data architecture, integration, and interoperability by leveraging new and existing analytical tools, data sets, and business processes.Develop Predictive Analytics: Create predictive analytics to inform machine learning algorithms, considering the voice of internal customers and the overall objectives of the C&CE team.Support Data Systems Implementation: Aid in the development and implementation of databases and data structures for systems like Salesforce, Microsoft O365.Ensure Data Accuracy: Maintain data accuracy, quality, consistency, and validation processes by establishing acceptance criteria based on current and future business needs.Establish Data Processes: Develop data in line with business needs, working with Centre of Excellences as needed.Improve Reporting Processes: Continuously improve reporting processes and methodologies to enhance efficiency and effectiveness.Collaborate with Data Science Team: Work with the Analytics Enablement Data Science team to execute and deliver advanced analytics use cases.Stay Updated: Keep abreast of industry trends and best practices.Optimize Data Infrastructure: Optimize data infrastructure and ensure smooth integration processes.Enhance BI Reporting: Improve BI (Business Insight) reporting by leveraging multiple data visualization tools.Power Platform: Develop and implement custom solutions using Power Apps and Power Automate.What are we looking for in you:Years of Experience: Senior level (3-5 years) of professional experience in similar positions of responsibility within a strategic marketing or sales force effectiveness department.Professional Expertise: Comprehensive understanding and wide application of principles, theories, and concepts in the field. Ability to resolve a wide range of issues in creative ways.Project Management: Ability to set priorities and independently drive projects in a dynamic and fast-paced environment. Capable of managing and contributing to multiple projects.Qualifications: Master's degree in Economics, Mathematics, Statistics, Finance, Computer Science, or a similar field.Languages: Fluency in English.Industry Experience: Preferred experience in the Healthcare industry.Technical Knowledge: Proficiency in Microsoft Excel and with data visualization tools and dashboards (preferably Tableau). Experience on Power Platforms (e.g., PowerApps, Power Automate).Translating Data: Experience in translating data into actionable insights.What we can offer you:Hybrid working schedules (3 days in the offices + 2 days working from home per week).Attractive benefits package.Possibility to make an impact.Fast growing and innovative environment.A team-oriented company culture.International opportunities.Interested? Please apply online with your CV in English.We, Boston Scientific, are an equal employment opportunity employer. We do not and will not make any personnel decisions (like recruiting, hiring, job assignments, and promotions) based on a person's age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law.
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