With a startup spirit and 80,000+ curious and courageous minds, we have the expertise to go deep with the world’s biggest brands—and we have fun doing it. Now, we’re calling all you rule-breakers and risk-takers who see the world differently, and are bold enough to reinvent it. Come, transform with us.
Inviting applications for the role of a Customer Facing Specialist with Danish
We are looking for the candidates willing to join us to work for great organization and our customer - Unilever
Responsibilities
Ability to follow defined processes within Order Management, Logistics and Quality and able to problem solve when situations arise outside of the defined processes.
Collate and manipulate data to produce reports according to agreed format and timings ensuring completeness and accuracy.
Maintain trackers for collaborative planning
Maintain standard reporting packs for customer collaboration meetings.
Update customer portal systems and/or internal systems.
Deliver quality customer service by researching and responding to all internal & external partner enquiries quickly and effectively
Deliver order amendment reporting to customers
Handle first level escalation of customer issues, working in partnership with all internal stakeholders and 3rd parties to resolve, keeping the Customer Experience Specialist informed at all stages.
Support order cycle completion in exceptional circumstances
Customer Master Data maintenance to ensure right first time order processing
Qualifications
Minimum qualifications
Very Good English and Danish min. C1
Experience in Microsoft suite including Outlook, Power Point and MS Teams; advanced Excel skills, PowerBI, SAP
Problem solving and decision-making ability
University Graduate (min. Bachelor)
Ability to set priorities and to work effectively under pressure of time
Service mindset and ability to resolve complex business problems across the organizational silos
Strong interpersonal skills. Good at building relationships; patient and attentive, good influencing skills.
Strong analytical skills and can handle large amounts of data; identify exceptions and key trends; can make recommendations
