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Data Solutions Manager (Business Analytics)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Data Solutions Manager (Business Analytics): Managing the onboarding and integration of enterprise customer data into the hirify.global platform with an accent on data flow reliability and stakeholder management. Focus on translating business requirements into technical specifications and solving complex data ingestion challenges.

Location: Hybrid (Sydney office)

Company

hirify.global is an end-to-end market mix solution that helps businesses identify and optimize the factors driving sustainable growth.

What you will do

  • Guide Enterprise customers through the transition from manual data sharing to reliable and repeatable automated data flows.
  • Collaborate with customer IT teams to gather requirements, clarify technical needs, and manage the setup process.
  • Partner with data scientists to translate modeling and analysis needs into clear customer data requests.
  • Monitor live customer data feeds, investigate integration issues, and resolve them in a structured manner.
  • Document successful workflows and improve repeatable processes to help the company scale data connections.

Requirements

  • 2+ years of experience in a data-focused role such as analytics, data operations, or solutions consulting.
  • Proven experience in customer-facing or stakeholder-facing environments with the ability to explain technical concepts clearly.
  • Solid foundations in SQL and comfort working with data.
  • Methodical approach to problem solving and the ability to perform root-cause analysis.
  • Strong judgement regarding data security, credentials handling, and access management.

Culture & Benefits

  • Hybrid work model based in the Sydney office.
  • Opportunity to be part of a growing team of 70+ coworkers.
  • Culture that emphasizes a growth mindset, ownership, and continuous capability building.
  • Collaborative environment bridging the gap between technical data science and enterprise customer partnership.

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