обновлено 8 дней назад
Senior Analytics Engineer (AI/LLM)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Senior Analytics Engineer (AI/LLM): Building and evolving Mercari’s highly automated data ecosystem, including company-wide data products, semantic layers, business metadata foundations, and AI-driven data modeling lifecycle automation with an accent on data reliability, governance, and cross-functional decision-making. Focus on architecting a trusted Single Source of Truth for people and AI, solving query performance and data quality challenges at scale, and converting department-specific knowledge and operational data into reusable data products.
Location: Hybrid, Minato City, Tokyo, Japan; office in Roppongi
Company
operates a marketplace platform and uses technology, data, and AI to connect people and circulate value.
What you will do
- Continuously improve company-wide data products, including Socrates, Basic Tables, the semantic layer, and dashboards.
- Build AI/LLM-powered automation for the complete data modeling lifecycle, from identifying optimization opportunities through design and implementation.
- Define and implement a semantic layer as a reliable Single Source of Truth for people and AI.
- Develop a business metadata foundation that turns department-specific knowledge into shared company-wide assets.
- Collaborate with functions such as HR and Finance to transform operational data into reusable data products.
Requirements
- Experience collaborating with data stakeholders and leading initiatives to solve business challenges.
- Strong interest in or hands-on experience improving data platforms and operational efficiency with AI/LLM.
- Experience designing, building, and managing SQL-based data marts in a data warehouse such as BigQuery.
- Experience designing and implementing data governance and semantic layers with BI tools such as Looker.
- Japanese proficiency at B2 level is required.
- English proficiency at B2 level.
Nice to have
- Ability to keep up with fast-changing technology trends, especially AI/LLM, and apply them effectively.
- Project management experience involving stakeholder requirements, prioritization, and scope definition.
Culture & Benefits
- Full-time employment with a full flextime schedule and no core hours.
- Work in an advanced data analytics environment used by approximately 1,200 employees each month.
- Address next-generation challenges at the intersection of data, AI, and human intelligence.
- Contribute to inclusive hiring and ’s mission-driven culture.
Hiring process
- Application screening followed by a skill assessment.
- Multiple interviews may be conducted depending on the position.
- Online reference checks are conducted around the final interview, followed by an offer decision.
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