Détails de l'annonce
Référence:
164846
Publiée le:
15 octobre 2022
Lieu de travail:
Tunis, Tunisie
Expérience:
Entre 1 et 2 ans
Étude:
Bac + 5
Disponibilité:
Plein temps
Entreprise:
BINITNS
Secteur: consulting / étude / stratégie
Taille: Moins de 20 employés

Binit Nearshore Services est une société de Conseil et de Services dans le domaine de l’IT et du BPO métiers . Anciennement MISC fondée en 2008, société de conseil dans le domaine du Supply Chain et de l’IT, l’activité de l’entreprise est étendue en 2020 et MISC est devenue BinitNS.

Nous conseillons nos clients Européens sur leur stratégie dans nos domaines d’expertise en intervenant pour leur compte en Europe sur place ou à distance. Quand ils le souhaitent, nous les accompagnons dans l’installation d’équipes de proximité (Nearshore) en Tunisie.

Description de l'annonce:

Binit Nearshore Services (BinitNS) is a Consulting and Services corporation operating in the ITO and BPO areas. We advise and help our clients wishing to set an extension of their own European teams with teams in Tunisia.

One of our clients is a technology start-up providing a data acquisition, analytics and reporting solution for investors and asset services. The software platform uses a variety of machine intelligence techniques to automate the understanding of unstructured and semi structured documents, transforming it in data and delivering it to the different private market participants. 

We are looking to hire a team of Data Ops and QA testers to work with the BA and product teams in London and the software development team in Paris. 

As a data ops and QA member of the team, 

Your Missions:

  • Operate the software platform as part of internal and client-facing project under the supervision of the Team Leader and Product Team counterparts
  • Build and maintain growing volume of market data obtained via the software platform
  • Identify the software platform bugs against pre-defined specification and communicate them back to the Product and Engineering Teams

Your qualifications:

  • Good analytical skills and proven analytical background (Finance and management, economics or IT)
  • Good visual, written and verbal communication skills in English
  • Experience with data processing and software package.

Good working conditions and package

Starting date: As soon as possible

Please send your CV with the following reference: DO-Acc