Lead Data Analyst

Introduction

Do you find yourself in situations where:

• Goals are set upfront as numbers or initiatives, with little chance to question the underlying problem?
• You're expected to deliver requested analyses, without recognition for shaping the question?
• Business and leadership context is missing, making it hard to connect numbers to decisions?
• "If it can't be measured, it doesn't count" means what matters most gets left out of metrics?
• Raising blockers or misalignments is brushed aside as "not right now"?

If this feels stifling, you could be who we are looking for—someone who turns unease into progress.

Overview

Every project follows a six-week cycle: setting goals, executing, and holding a retrospective.

This role is for a data analyst who can:

• Grasp the essence of project goals and the problems to solve.
• Design metrics that genuinely indicate progress.
• Proactively identify issues and signals in data that may be blocking progress.

You will help improve the organization's ability to operate based on the right metrics.

Mission

• Understand the core problems to be solved.
• Design meaningful, goal-tied metrics (and proxy metrics when direct measurement isn't possible).
• Uncover key insights and blockers, connecting them to decision-making.

Key Responsibilities

1. Clarifying the Essence of Problems and Goals

• Re-examine and clarify each project goal.
• Connect leadership intent, product value, and user behavior.
• Make the underlying problem structure explicit.
• Ensure the meaning of goals is clearly understood.

2. Designing Goal-Linked Metrics and Proxy Metrics

• Design metrics to assess progress toward goals.
• Define meaningful proxy metrics when direct measurement is impossible.
• Retain only metrics that guide the team in a meaningful direction.

3. Extracting Insights from Data

• Use behavioral and event logs to identify influencing factors.
• Surface clues to guide the team’s next steps.
• Present analysis as actionable, decision-informing insights.

4. Proactively Identifying Blockers and Issues

• Go beyond requested analyses—spot early signals and blockers.
• Detect patterns, bias, or behavioral shifts before metrics visibly degrade.

5. Sharing Insights to Support Decision-Making

• Share insights in ways that clarify what matters, rather than producing excessive reports.
• Simplify decision-making—avoid unnecessary complexity.

Qualifications

1. Experience Navigating Multiple Contextual Layers

   • Moving between leadership, business, product, and user data contexts.
   • Structuring relationships across these layers and aligning understanding.

2. Communication Across Stakeholders

   • Supporting leadership decision-making via metrics and data.
   • Collaborating with PMs and engineers on what should be measured.
   • Translating insights for multiple stakeholder contexts.

3. Designing Goal-Linked and Proxy Metrics

   • Creating meaningful metrics—even for goals hard to measure directly.
   • Iterating on metrics to drive desired team behaviors.

4. Discovery Through Data

   • Proactively surfacing unexpected issues and early warnings via data analysis.

5. Hands-On Behavioral and Event Log Analysis

   • Proficiency with SQL and similar tools.
   • Understanding of statistical validity and data pitfalls.
   • Focused on contributing to decisions over methodology for its own sake.

Value of This Role

When successful:

• Each six-week cycle aligns directly to business growth.
• Teams operate autonomously on the right metrics.
• Problems are course-corrected early—before they become large.

Turn six-week goals from a series of coincidences into meaningful progress.

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Location

• Tokyo, Meguro-ward

Working Hours

• Flex time, no core hours

Compensation

• Annual salary revision, based on regular evaluations
• Bonus and allowances available
• Overseas Visa support (for eligible candidates)
• Rented company housing option (not available during trial period; employee pays rent)

Benefits

• Social insurance, health insurance, pension
• Unemployment and industrial accident compensation insurance

Holidays

• Five-day workweek (Saturday & Sunday off)
• National holidays, company-set holidays (including year-end/New Year)
• Paid leave
• Special leave: bereavement, marriage, spousal childbirth
• Refreshment leave; Summer vacation (3 days)

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