Key Skills

Job Description

As a Senior Analytics Engineer in Global BI and Analytics team, you will design, build and maintain ASICS' unified semantic layer and the conversational BI capabilities on top of it. You will ensure that business metrics are defined once, governed and trusted, so that business users can get consistent, self-service answers through dashboards and natural-language analytics. How you will help us: Based in our Hoofddorp office and reporting to the Senior Manager BI & Analytics, as part of the role you will: Design and build the unified semantic layer. You will model governed business entities, relationships and metrics in SQL (e.g., Snowflake Semantic Views) so that every KPI is defined once and reused consistently across dashboards, applications and AI tools. Develop and maintain analytics-ready data models. You will build modular, tested and documented SQL transformations in Snowflake, refreshed on a reliable schedule, to give the semantic layer and BI tools trusted data. Deliver and continuously improve Conversational BI. You will enable natural-language analytics on top of the semantic layer (e.g., semantic descriptions, synonyms, verified queries and evaluation sets) so business users can self-serve accurate answers. Establish metric governance and data quality standards. You will conduct data Validation and collaborate with data governance for the glossary set up. Collaborate with stakeholders to turn business needs into governed metrics. You will work with business, product, tagging, data engineering and data science & AI teams to understand data needs and prioritise semantic layer and conversational BI deliverables. Enable the analytics community and advance BI tooling. You will act as the technical expert on SQL, semantic modelling and BI tooling, and evaluate and introduce new tools and best practices (e.g., Git-based workflows, CI/CD for analytics code). You could be the right person for this role regardless of your age, nationality, religious beliefs or gender identification. ASICS welcomes diversity in our people, their backgrounds and life experiences. Does this sound like you? You have a strong quantitative foundation and hands-on experience. You hold a Bachelor’s or Master’s degree in Computer Science, Data Engineering, Analytics, Statistics, Mathematics, Economics or a related quantitative field, and you bring at least 5 years of experience in analytics engineering, BI engineering, data analytics or a similar role, preferably in ecommerce or retail. You are fluent in SQL and data modelling. Your advanced SQL is backed by strong experience with dimensional data modelling, data warehousing concepts and database design, including metric definition and governance. You have built a semantic or metrics layer (e.g., Snowflake Semantic Views, dbt Semantic Layer, LookML, Cube) with governed metric definitions. You build on modern data platforms with best practices. You have worked with cloud data platforms such as Snowflake and with transformation and orchestration tools such as dbt and Airflow. You know analytics engineering principles well, including testing, documentation, version control with Git and CI/CD. Python is a plus. You understand how people use data, and where AI fits in. You have experience with a BI tool such as Tableau and know how business users consume data. You are familiar with LLMs and natural-language / text-to-SQL analytics, including how context, descriptions and evaluation drive answer accuracy. Experience with Claude, Snowflake Cortex, Tableau or SAP is preferred. You translate business questions into data models. You communicate clearly and collaborate well across business and technical teams. You work independently and keep learning. You are a strong problem-solver with an eye for detail, comfortable owning your work as an individual contributor, and you stay current with evolving BI and AI technologies. Your benefits Grow with us! Next to a salary that matches your experience and knowledge, we offer the opportunity to continuously develop yourself within a highly dynamic and multicultural team. We live by our mantra (Sound Mind, Sound Body), and to support you reach your potential we offer: 60% off sports membership. We’ll reimburse you for keeping a sound mind and body. Product discounts. Get ASICS or Onitsuka gear with a 50% discount. Runkeeper Go™ app. Free premium subscription to our running app. The possibility to work up to 5 weeks abroad each year. Employee wellness programme. Free mindfulness sessions, online yoga, bootcamp classes, and Lunch & Learn sessions. OpenUp Access. A platform that offers professional psychological assistance and meditation classes. Free running club. Join our beginners or intermediate groups for a weekly running session. Summer Fridays. Between June and August, start the weekend early at 13:00 on Fridays. Calm app. Unlimited access to help develop your mental fitness through sleep, mindfulness, and meditation. We are ASICS. And our five letters have meaning. ‘Anima Sana in Corpore Sano’ or a Sound Mind in a Sound Body. We’re committed to supporting more people to experience the transformative power of movement. This is your chance to join a truly purpose-driven brand. You will join a company focused on creating an inclusive environment that fosters diversity and individualism, healthy bodies, and healthy minds.

Core Responsibilities

Design and maintain ASICS' governed semantic layer, analytics-ready Snowflake data models, and conversational BI capabilities so business users can access consistent, trusted answers. Establish metric governance and data quality standards, collaborate across business and technical teams, and advance BI tooling and analytics engineering practices.

Requirements

A bachelor's or master's degree in a quantitative or related field and at least five years of experience in analytics engineering, BI engineering, data analytics, or a similar role are requested. Candidates should have advanced SQL and data modeling skills, experience with semantic or metrics layers and modern data platforms, and familiarity with BI tools and LLM-powered natural-language analytics.

Benefits

• Sports Membership Reimbursement
• Product Discounts
• Free Runkeeper Go Subscription
• Work Abroad for up to Five Weeks per Year
• Employee Wellness Programme
• Mindfulness Sessions
• Online Yoga
• Bootcamp Classes
• Lunch and Learn Sessions
• OpenUp Psychological Assistance and Meditation
• Free Running Club
• Summer Fridays
• Calm App Subscription
• Professional Development