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9 дней назад

Senior Data Analyst II (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Analyst II (AI): Building trusted data products and analytics solutions for science and medical publishing with an accent on complex data products, data preparation, semantic layers, and AI-assisted development. Focus on translating ambiguous business questions into reusable data solutions, partnering with senior stakeholders and technical colleagues, and coaching junior analysts.

Location: Oxford, United Kingdom (Nielsen House)

Company

hirify.global provides information, analytics, publishing technology, and data solutions that support scientific research, healthcare, education, and clinical practice.

What you will do

  • Own complex analytics projects from initial business questions through delivery.
  • Translate loosely defined business needs into reliable, reusable data products and solutions.
  • Collaborate with product managers, analytics engineers, and other technologists on data product development.
  • Apply data governance principles and contribute hands-on to data models and semantic layers for AI-based solutions.
  • Partner with senior stakeholders to shape strategy and promote data-driven decision-making.
  • Coach junior colleagues in stakeholder engagement, analysis design, and end-to-end project management.

Requirements

  • Substantial experience in a data-oriented role and a proven record of managing complex projects through delivery.
  • Strong data preparation and blending experience using Excel, Snowflake, or other data platforms.
  • Confident communication and the ability to influence senior and technical stakeholders.
  • Strong critical thinking, problem-solving, attention to detail, flexibility, and bias for action.
  • Applications must include a cover letter describing interest in the role and relevant contribution.

Nice to have

  • Knowledge of AI-assisted product development practices.
  • Experience in scholarly publishing, research, or a related industry.

Culture & Benefits

  • Flexible working hours to support individual productivity.
  • Wellbeing initiatives and support for work-life balance.
  • Shared parental leave, study assistance, and sabbaticals.
  • Country-specific benefits and an accessible hiring process with accommodation support.

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