Country Data Analytics Manager

---

Job details

Company overview

Our client is a global cosmetics and beauty product manufacturer that operates a wide range of businesses both domestically and internationally. They manufacture various beauty products, including skincare, haircare, makeup, and fragrances. Each brand within their diverse brand portfolio presents distinctive characteristics of its own and all work to drive innovation and shape industry trends.

Responsibilities

Main responsibilities:

• Collaborates with cross-functional teams to transform business requirements to data requirements and deliver integrated data solutions that drive decision-making and business growth.
• Helps break down silos and unify data, ensuring seamless integration and consistency in analytics processes and data governance.
• Conducts data analysis, including exploratory analysis to derive actionable insights from various datasets.
• Occasionally develops and maintains data pipelines and ETL processes for efficient data ingestion, transformation, and storage.
• Designs and develops KPI dashboard.
• Supports the implementation data strategy and supervises the change management activities including training, user support and communication.
• Liaises with local IT partner and the Transformation Office to effectively manage the allocated internal/ external resources.

Requirements

Minimum requirements:

• Strong stakeholder engagement skills: Expertly aligns stakeholders in the fast-paced startup environment, fostering understanding and buy-in for data and analytics initiatives while effectively multitasking and adapting to changing priorities.
• Strong interpersonal skills, with an ability to thrive in a multi-cultural team: Flourishes in the diverse atmosphere, fostering collaboration and driving innovation within multicultural teams.
• Able to quickly understands the data & analytics requirements and KPIs in digital and ecommerce: Rapidly comprehends data and analytics needs in digital and ecommerce landscapes, translating them into actionable insights for business success.
• Technical-and-Functional knowledge: Proficiency in PaaS (Google Cloud Platform is the platform of choice), coupled with hands-on experience in in ETL processes, Power BI dashboard development and analytics languages like Python or R, as well as SQL.
• Language: Business level proficiency in English and fluency in Japanese.

Salary

9 - 12 million yen

Location

Tokyo