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2 дня назад

Group Manager-Analytics (Python/Django)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Group Manager-Analytics (Python/Django): Developing and maintaining web-based interfaces and internal tools for pricing workflow automation with an accent on fullstack development and database optimization. Focus on designing responsive UIs, optimizing SQL queries, and integrating data-driven tools into accessible web interfaces.

Location: Onsite in Sutherland, NSW, Australia

Company

hirify.global is a leading Business Process Management (BPM) company that combines industry knowledge with technology and analytics to create digital transformational solutions.

What you will do

  • Develop and maintain intuitive, responsive web interfaces using HTML, CSS, and JavaScript.
  • Support the automation and digital transformation of pricing workflows through web applications.
  • Enhance and maintain internal tools built with Python (Django) and PHP.
  • Design, implement, and optimize queries for MySQL and MSSQL databases.
  • Collaborate with analysts and business users to deliver practical web-based solutions.
  • Integrate data-driven tools and datasets into accessible web interfaces.

Requirements

  • Proficiency in HTML5, CSS3, JavaScript, and Python (Django).
  • Solid understanding of web development best practices, responsive design, and clean UI/UX principles.
  • Demonstrated skill in SQL query writing and relational database design.
  • Ability to work independently and communicate effectively with non-technical stakeholders.
  • University degree (Graduate or above).

Nice to have

  • Experience with PHP, particularly in a LAMP stack environment.
  • Familiarity with both MySQL and MSSQL environments.
  • Exposure to AWS infrastructure and services.
  • Experience working in Linux-based environments.
  • Background in roles intersecting with data analysis or pricing strategy.

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