Auf einen Blick
- Aufgaben: Lead advanced marketing analytics to optimize customer engagement and conversions across global markets.
- Arbeitgeber: Join a dynamic team shaping marketing strategies for international regions including Europe, Asia, and beyond.
- Mitarbeitervorteile: Enjoy a collaborative work environment with opportunities for professional growth and skill development.
- Warum dieser Job: Make a real impact by leveraging data to drive marketing success in a fast-paced, innovative setting.
- Gewünschte Qualifikationen: 6-8 years in marketing analytics; Bachelor's in a quantitative field required; advanced degrees preferred.
- Andere Informationen: No relocation assistance provided; ideal for those passionate about data-driven marketing solutions.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
Job Description SummaryAs the Advanced Marketing Analytics Manager for International, you will be responsible for leveraging a multitude of datasets across the organization and developing analytical solutions to prioritize leads, design attribution models to understand the impact, and identify key points in the customer journey to improve our engagement and conversions. The International Region covers Europe, the Middle East, Africa, Latin America, India, Japan, ASEAN, Korea, and ANZ.This role will report to the International Marketing Analytics Director and will partner with the International Marketing & Virtual Sales organization as well as the Segment and Marketing teams across Zones and LCTs. You will also maintain a close working relationship with Global Marketing, IT, and Data organizations to develop and scale advanced analytics solutions that will shape the Marketing strategy for International.Job DescriptionJob DescriptionKey responsibilities include (but are not limited to):Develop, implement, and manage lead scoring models to optimize lead prioritization and improve sales efficiency.Design and implement attribution models (e.g., Multi-Touch Attribution, Market Mix Modeling) to evaluate and optimize marketing channel effectiveness and ROI.Analyze and map customer journeys, identifying key touchpoints and opportunities for enhancement to improve engagement and conversion rates.Use advanced statistical and predictive modeling techniques to generate actionable insights for business development and marketing teams.Optimize marketing spend allocation through data-driven insights derived from attribution models and predictive analytics.Perform segmentation analyses to identify high-potential customer groups and tailor strategies accordingly.Work closely with IT and Global Marketing organizations to ensure that data needs for advanced analytics are part of Global data improvement roadmaps in the respective organizations.Leverage existing capabilities in the Global Central data organization and build solutions to cater to the International region’s needs.Oversee the integration of analytics tools with Sales and Mar-tech systems (e.g., Salesforce, Marketo, Adobe, CDP) for lead scoring, journey optimization, and attribution analysis.Required Qualifications:6-8 years of experience in marketing data science & analytics, or a related field with demonstrated proficiency in data mining, statistical analysis, and the application of advanced analytics techniques.Bachelor’s degree in a quantitative field such as Statistics, Data Science, Computer Science, Mathematics, Economics, or a related discipline.Previous advanced analytics experience in the Med-tech industry or B2B.Preferred Qualifications:Relevant certifications in data analytics, machine learning or related areas is a plus. An advanced degree (e.g., Master’s, Ph.D.) in a relevant discipline.Strong understanding of data from tools such as Salesforce, Marketo, and Adobe.Previous experience working with attribution models, including multi-touch attribution and Market Mix Modelling.Skills:Excellent communication and presentation skills in English, with strong stakeholder management abilities to work collaboratively across functional teams.Demonstrated ability to develop advanced analytics solutions in data-sparse environments, using creative problem-solving, proxy metrics, external data sources, and imputation techniques to drive actionable insights and model accuracy.Strong project management and cross-functional collaboration abilities.Desire to work in a fast-paced, deadline-driven environment with customer first attitude.Establish and maintain positive work relationships with peers, management, and customers, displaying a willingness to understand diverse points of view.Additional InformationRelocation Assistance Provided: NoJob SummaryJob number: R4017394Date posted : 2025-01-24Profession: Digital Technology / ITEmployment type: Mid-Career
Advanced Marketing Analytics Manager Arbeitgeber: GE HEALTHCARE

Kontaktperson:
GE HEALTHCARE HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Advanced Marketing Analytics Manager
✨Tip Number 1
Familiarize yourself with advanced analytics techniques relevant to marketing, such as Multi-Touch Attribution and Market Mix Modeling. Being able to discuss these concepts confidently during your interview will demonstrate your expertise and readiness for the role.
✨Tip Number 2
Network with professionals in the Med-tech industry or B2B sectors who have experience in marketing analytics. Engaging in conversations about their challenges and solutions can provide you with valuable insights that you can bring up in your discussions with us.
✨Tip Number 3
Showcase your ability to work with data from tools like Salesforce, Marketo, and Adobe. If you have hands-on experience, be prepared to share specific examples of how you've used these tools to drive marketing strategies and improve engagement.
✨Tip Number 4
Prepare to discuss your project management skills and how you've collaborated across different teams. Highlighting your experience in cross-functional projects will illustrate your capability to work effectively within our diverse organization.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Advanced Marketing Analytics Manager
Tipps für deine Bewerbung 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in marketing data science and analytics. Focus on your proficiency with statistical analysis, lead scoring models, and attribution techniques that align with the job description.
Craft a Compelling Cover Letter: In your cover letter, emphasize your experience in developing advanced analytics solutions and your ability to work collaboratively across teams. Mention specific tools like Salesforce and Marketo that you have worked with.
Showcase Your Analytical Skills: Provide examples of how you've used advanced statistical and predictive modeling techniques in previous roles. Highlight any successful projects where you improved engagement or conversion rates through data-driven insights.
Highlight Communication Skills: Since excellent communication is key for this role, include instances where you've effectively presented analytical findings to stakeholders or collaborated with cross-functional teams to drive results.
Wie du dich auf ein Vorstellungsgespräch bei GE HEALTHCARE vorbereitest
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used advanced analytics techniques in your previous roles. Highlight your experience with lead scoring models and attribution models, as these are crucial for the position.
✨Understand the Customer Journey
Demonstrate your knowledge of customer journey mapping. Be ready to explain how you have identified key touchpoints in past projects and how you improved engagement and conversion rates through data-driven insights.
✨Familiarize Yourself with Relevant Tools
Make sure you are well-versed in tools like Salesforce, Marketo, and Adobe. Discuss any hands-on experience you have with these platforms, especially in relation to analytics and marketing strategies.
✨Communicate Effectively
Since strong communication skills are essential for this role, practice articulating complex analytical concepts in a clear and concise manner. Prepare to discuss how you have collaborated with cross-functional teams to drive results.