Start Date
Immediate
Expiry Date
31 Aug, 25
Salary
0.0
Posted On
31 May, 25
Experience
1 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Good communication skills
Industry
Information Technology/IT
Job Description
WHO 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 9 days/month remotely.
WHAT WE ARE LOOKING FOR:
We are looking for a motivated and data-driven Customer Intelligence & CRM Insights Analyst 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.