Mercari, inc.
Internet
SeniorAnalyticsEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Analytics Engineer at Mercari, inc.. Skills: Data modeling lifecycle automation, Semantic layer architecture, AI/LLM integration for data platforms. Continuously improve and add value to existing data products used company-wide, such as Socrates, Basic Tables, Semantic Layer, and various dashboards.. Utilize technologies like AI/LLM to build a mechanism that automates the entire data modeling lifecycle, from identifying opportunities for optimization through to design and implementation.”
What You'll Achieve.
Build an environment where data products can significantly accelerate product development.; Streamline the data experience for all employees and maximize the value we provide to our customers.; Enable all employees to derive value from data with the highest levels of efficiency and trust.; Reduce the risk of decisions based on incorrect data.; Enhance the cross-functional decision-making foundation.; Enhance the quality of company-wide decision-making and maximize the value we deliver to our customers.; Define the future of data-driven organizations.
Industry & Context.
Solving challenges that others have yet to encounter; Solving next-generation problems; Managing query performance at scale; Maintaining data trust in an automated environment
What They're Looking For.
Must Have
Experience collaborating with stakeholders who use data and leading initiatives to solve business challenges, Experience designing, building, and managing data marts in a data warehouse (e.g., BigQuery) using SQL, Experience designing and implementing data governance and semantic layers using BI tools such as Looker, Japanese: B2, English: B2
Nice to Have
Proactively keeps up with fast-changing technology trends, especially in AI/LLM, and applies them effectively in day-to-day work, Experience managing projects, particularly in gathering and prioritizing requirements from multiple stakeholders and defining project scope
What You'll Do.
Continuously improve and add value to existing data products used company-wide
and various dashboards.
Utilize technologies like AI/LLM to build a mechanism that automates the entire data modeling lifecycle
from identifying opportunities for optimization through to design and implementation.
Define and implement a semantic layer to act as a Single Source of Truth (SSoT) for both humans and AI
thereby reducing the risk of decisions based on incorrect data.
Develop a business metadata foundation to convert department-siloed knowledge (such as marketing strategies) into a common
Collaborate with corporate functions (e.g.
Finance) to transform department-specific operational data into data products
thereby enhancing the cross-functional decision-making foundation.
How You'll Work.
Team & Collaboration
Collaborate with stakeholders who use data; Collaborate with corporate functions (e.g., HR, Finance)
Process & Methodology
Gathering and prioritizing requirements from multiple stakeholders, Defining project scope
Full Job Description
[](https://drive.google.com/drive/folders/1tWbugLON_fVm_atdCkd8UXy1fRm3HEJY) JD in Japanese follows. 英文の後に和文JDをご覧いただけます。 ### Senior Analytics Engineer - Mercari * Employment Status: Full-time * Work Hours: Full Flextime (no core time) * Office: Roppongi For more details, see the [Overview of Our Positions](https://careers.mercari.com/en/recruitment-selection/#section3) section on our Careers site. ### About Mercari Circulate all forms of value to unleash the potential in all people "What can I do to help society thrive with the finite resources we have?" The Mercari marketplace app was born in 2013 out of this thought by our founder Shintaro Yamada as he traveled the world. We believe that by circulating all forms of value, not just physical things and money, we can create opportunities for anyone to realize their dreams and contribute to society and the people around them. Mercari aims to use technology to connect people all over the world and create a world where anyone can unleash their potential. For more information about Mercari Group’s mission, see [Mercari’s Culture Doc](https://careers.mercari.com/en/culture/) ### Organization/Team Mission Mercari's data analytics environment is used by around 1,200 employees per month (approximately 60% of our entire workforce). With offerings like "Socrates," our LLM-based analytics application, our data infrastructure is already one of the most advanced in Japan. However, the needs for data utilization and the surrounding technologies are changing rapidly. This creates new challenges daily, as our existing approaches find it difficult to meet the growing demand for enhancements. To adapt to these changes, we are actively leading new approaches, such as automating the data modeling lifecycle. Our goal is to build an environment where data products can significantly accelerate product development. By leveraging AI/LLM to solve these structural challenges, we will streamline the data experience for all employees and maximiz
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