Global CRM Data Scientist

Job DescriptionWho we are

Amplifon is an Italian multinational company and the global leader in hearing care solutions and services for retail expertise, customization and consumer care. More than 20,300 professionals every day in a network of 9,700 points of sale across 26 countries give back the joy of hearing, feeling and living to thousands of people across the world.

In Amplifon we believe people are the most important component of our success. Thanks to our best\-in\-class Hearing Care Professionals and front and back\-office Teams, we are able to put the everyday taps, pops and splashes back into the lives of our customers. We believe that it's only through strong investment in talent engagement, continuous professional development, support and recognition that our people can exceed every limit and build a fulfilling career.

Aligned to this goal, we offer a hybrid working policy, allowing employees to work 6 days/month remotely.

What we are looking for:

We are looking for a motivated and data\-driven Global CRM Data Scientist to join our Headquarters. In this role, you will support the collection, analysis, and interpretation of customer data at a global level, contributing to the generation of actionable insights and recommendations for Regions and Countries. Your work will help us better understand customer behaviors, preferences, and needs, providing a key contribution to marketing strategy development and improving customer engagement.

You'll be part of a dynamic and collaborative Global Center of Expertise (CoE), reporting to Federico Flussi, Global CRM Customer Intelligence Associate Director, and working alongside a team of experienced professionals. You will interact with multiple stakeholders across departments and markets, helping align customer insights with business objectives and supporting decision\-making through data\-driven analysis.

Your Tasks \& Responsibilities:

• Data Collection and Preparation: gather, clean, manipulate and integrate customer data from diverse sources, including CRM system, point\-of\-sale systems, survey platforms, AI tools and 3rd parties data


• Data Analysis and Interpretation: Apply statistical techniques, data mining, and exploratory data analysis to identify significant customer behaviors, segmentation opportunities, and drivers of customer repurchase and/or missed adoption of the product


• Segmentation and Predictive Modeling: create detailed customer profiles to understand their needs, preferences and value. Moreover, you might be asked to develop predictive models for customer behavior


• Campaign Analysis, Monitoring and Optimization: analyze the performance of CRM campaigns and customer engagement initiatives, providing insights into their effectiveness and recommending ideas


• AI\-driven innovative use\-cases: collaborate on AI use case development for CRM applications (customer knowledge enrichment through speech analytics, virtual agents), with hands\-on involvement in prompt design, LLM evaluation and solution testing.

• Bachelor's degree in mathematics, Statistics, Engineering, Economics, or a related field


• Proven experience (2\-5 years) in a similar analytical role, preferably within marketing functions


• Solid proficiency in data analysis tools and programming languages such as SQL, Python or R.


• Experience with data visualization tools such as Power BI, Tableau or similar is a plus


• Basic understanding of AI and LLM concepts, including exposure to generative AI tools or prompt\-based workflows is a plus


• Previous experience in customer analysis and/or working closely with business stakeholders is preferred

• Strong analytical thinking with the ability to interpret complex datasets


• Technical proficiency in data manipulation, statistical analysis and data visualization


• It's a plus if you have experience in storytelling and in presenting data\-driven insights to both technical and non\-technical stakeholders


• Ability to translate data into meaningful business recommendations


• Fluency in English (written and spoken)


• Willingness to travel occasionally for business needs

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