Product Data Analyst

ZenOwn AG

ZenOwn AG

ZenOwn is innovative AI Technology company that empowers world’s leading consumer goods brands to attract, engage and retain their consumers in the retail. ZenShelf AI solutions enables automatic planning and monitoring of the instore execution to attract & acquire consumers. Loop AI solutions enables brands to register, engage, retain & understand their consumers. Backed by leading European VCs and Business Angels, awarded by Plug & Play, WebSummit and others for its innovativeness. Powered by a high performing diverse team with leading tech & consumer goods experience, powering 5 of Top 100 consumer brands on 4 continents.

ID
5134
Валидност на обявата
30.10.2024 - 30.11.2024
Вид работа
Стаж
Подходяща за студенти
Дистанционна работа (от вкъщи)
Вид заетост
Пълен работен ден
Месторабота
Remote
Описание

WHY JOIN US
By joining ZenOwn, you'll be part of a dynamic, forward-thinking team that encourages innovation and values ​​​​each team member's contributions. You'll work in a supportive environment that prioritizes personal growth and offers opportunities to make a tangible impact.

WHAT WE OFFER:
• Location flexibility (remote)
• Further career opportunities within ZenOwn if you deliver and grow in the role
• Learning & development opportunities
• End to end ownership on key aspects that come with a high degree of responsibility

KEY RESPONSIBILITIES:
• Lead initiatives within the Product Team to drive ZenOwn forward:
  o Validating back-office data
  o Annotations for Machine Learning training
  o Data analysis to improve processes (excel proficiency required)
  o Cross-functional collaboration with tech, design, sales and marketing
  o Special Projects lead ad-hoc projects within ZenOwn on a per need basis

Изисквания

WE ARE LOOKING FOR A TOP PERFORMER WHO:
• Has a can-do attitude
• Is strong analytically with attention to detail
• Is open in their communication
• Is organized and structured
• Is fluent in English
• Curious to learn and better themselves

Подходяща за специалности
  • Факултет по Електронна Техника и Технологии
  • Факултет по Телекомуникации
  • Факултет по Компютърни Системи и Управление
  • Стопански Факултет
  • Факултет Приложна Математика и Информатика
Вид договор
Граждански договор
Ниво в йерархията
  • Служители | Работници
Необходими документи
Автобиография (CV)
За контакт
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