9 дней назад
Senior Data Analyst II (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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