Google Product Classification Analyst (Ukrainian OR Hebrew OR Vietnamese OR Thai OR Korean OR Japanese)

  • Kraków, Zabierzów (pow. krakowski), małopolskie pokaż mapę
  • Specjalista
  • 2017-10-09
  • Ważna jeszcze 16 dni (do 2017-11-08)

Pracodawca ma prawo zakończyć rekrutację we wcześniejszym terminie.

HCL is a business enterprise with presence in the fields of technology and healthcare. Founded in 1976 as one of India's original IT garage startups, the HCL enterprise currently comprises three companies in India - HCL Technologies, HCL Infosystems and HCL Healthcare with annual revenues of US$ 6.5 billion and over 95,000 professionals from diverse nationalities operating across 31 countries including over 500 points of presence in India. In the technology space, HCL’s offerings span a wide range of software and hardware services and solutions including R&D, Technology Services, Enterprise and Applications Consulting, Remote Infrastructure Management, IT Hardware, Systems Integration, Distribution of Technology and Telecom Products. A new entrant in Healthcare, HCL aims to provide innovative medical services, products and training to meet the growing demand for quality Healthcare in India. 

In Poland we started our operations in 2007. Our operation in Poland primarily revolves around the global technical support centre through which we provide multilingual Infrastructure Management Support to our clients. Apart from providing multilingual technical support in 15 languages, we also work on technology based projects for our clients.

Due to our growing business needs we are looking for: 

Google Product Classification Analyst

(Ukrainian OR Hebrew OR Vietnamese OR Thai OR Korean OR Japanese)

CA/G/2017/Ukrainian/Hebrew/Vietnamese/Korean/Japanese/ZThai

Summary:

Product Classification Analyst is a full-time job through HCL Technologies onsite at Google Krakow. This position enhances users’ online shopping experience by performing in-depth research, determining product taxonomy expansion, and improving machine learning classification using highly technical internal tools and processes. It is part of a fast-paced environment, partnering closely with operations and engineering teams.

Responsibilities:

  • Quickly learn and build expertise in new processes and technical applications.
  • Deeply analyze data relationships to determine cause and effect of classification.
  • Build product expertise on a large quantity of diverse products through thorough research and analysis of data from multiple channels.
  • Review data to determine taxonomy expansion and target areas in the taxonomy which require additional training.
  • Collaborate with cross-functional teams on project initiatives to enhance Google’s user experience.
  • Manage time effectively and adapt to frequently changing processes and requirements.

Requirements:

  • Excellent reading and speaking abilities (C1/C2) in Ukrainian OR Hebrew OR Vietnamese OR Thai OR Korean OR Japanese and very good (B2/C1) in English.
  • A Bachelor’s or Master's degree or 1+ year of relevant experience.
  • Strong computer and internet navigation skills and natural comfort with technology. Ability to learn technical processes quickly.
  • Other attributes:
    • adaptable
    • organized
    • intellectual curiosity
    • excellent research skills
    • analytical and problem-solving skills
    • works well both independently and with teams
    • able to perform repetitive and detailed analytical work accurately and consistently
    • capable of delivering high-quality results on tight deadlines with minimum guidance

Additional skills desired but not required:

  • Experience with online shopping

We offer:

  • Life insurance
  • Private medical healthcare 
  • MultiSport Card
  • Social found benefits
  • Clear career path in a growing multinational organization

We thank all interested candidates for their applications. We reserve the right to contact only selected candidates. Only those applications that include the candidate's consent to process personal data, in accordance with the Data Protection Act as of 29 August 1997 (Journal of Acts of 2002, No 101, pos. 926 with later amendments) will be considered.

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