Senior Data Analyst (Product & Business Insights)

What You Will Do

• Insight Delivery: Be the lead investigator on our data. You will take broad business questions and deliver the data-backed answers through deep-dive analysis and reporting.
• Hypothesis & Strategy: Partner directly with business stakeholders to clarify their needs, challenge assumptions, and define the specific questions that will move the needle on our goals.
• Dashboarding & Visualization: Design and maintain the "source of truth" dashboards that the company relies on to monitor UX friction and user behavior.
• Vision & Roadmap: Set the direction for our data analysis initiatives. You will define the milestones for what insights we need to unlock and when, ensuring we are always focused on the highest-value questions.
• Stakeholder Negotiation: Manage the intake of data requests, negotiate priorities with product managers , and ensure that the business understands the "story" the data is telling.
• Enablement & Cataloging: To ensure you aren't a bottleneck, you will lead the effort to document our data (data catalog) and set up self-service tools so non-analysts can answer simple questions independently.
• Expert IC Contribution: this position is fully hands-on. You will be the "go-to" expert for our most complex data queries and analysis.

What We Are Looking For

• The "Analyst" Mindset: 5–8+ years of experience in Data Analysis or Product Analytics. You have a "detective" instinct and won't stop until the data makes sense.
• Business Acumen: You understand how a business grows. You can translate a vague "we want more users" into a specific analytical project.
• Communication & Negotiation: Exceptional ability to explain data findings to non-technical stakeholders and the confidence to negotiate the roadmap when priorities shift.
• Data Storytelling: Expert-level skills in data visualization (e.g. Tableau, PowerBI, Superset, Metabase) and the ability to build a narrative around numbers.
• Technical Proficiency: Expert SQL and proficiency in Python or R for deeper statistical analysis and data manipulation. 
• Experience with Complex Data: Familiarity with imperfect, evolving and high-volume datasets, such as user behavior analytics and vehicle telemetry data. Proven ability to independently and systematically contribute to continuous data quality improvement. Understanding of data modeling (Kimball, Inmon, One Big Table, Data Vault, …) and ability to discuss it is hugely appreciated.
• Pragmatic Documentation: You understand that a data catalog is only useful if it helps people find answers faster, and you are willing to maintain it to support self-service.

Nice to Have

• Product Analytics Background: Experience with tools like Amplitude, Mixpanel, or similar event-tracking platforms, as well as BI tools such as Tableau, PowerBI, etc.
• AWS Familiarity: Basic knowledge of how to query data within an AWS ecosystem (Athena, Redshift, Iceberg, Trino, etc).
• Japanese Language Ability: Useful for interacting with local business units and understanding market-specific user behaviors.