Senior Manager, Data Analytics

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🕒 June 3

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KIMARU Talent

WebsiteLinkedInAll Job Openings

1 - 10 employees

🎯 Recruiter

🎮 Gaming

Recruitment • Gaming • Startup

KIMARU Talent is a recruitment firm specializing in high-touch recruitment services for gaming studios and tech startups. They offer a variety of recruitment services including container search, retained search, contingent search, and recruitment operations consultation. KIMARU Talent partners with tech companies, ranging from Series-A startups to public companies, providing expertise in startup recruitment. Founded by Rumiko Matsumoto, the company has extensive experience in the mobile app, gaming, and ad-tech industries. Their focus is on building strong, integrity-centered relationships with clients and candidates, and they work closely with founders and executives to support their recruitment needs as their companies grow.

📋 Description

• Lead, mentor, and develop a team of analysts embedded across multiple game titles, providing direction, feedback, and growth opportunities. • Own the analytics function's centralized roadmap covering tooling, instrumentation, automation, and enablement priorities. • Partner with product managers and embedded analysts to maintain a prioritized backlog of analytics work aligned to each title's roadmap. • Establish and maintain high standards for analytical methodology, including A/B testing governance, telemetry design, and data storytelling. • Identify and drive opportunities to automate reporting, improve self-serve data access, and incorporate AI tooling. • Ensure the team produces clear, decision-oriented outputs trusted by game leads and leadership. • Build systems for knowledge sharing, including analysis reviews, shared documentation, reusable templates, and cross-title learnings.

🎯 Requirements

• 5+ years of experience in analytics or data science, with 2+ years managing or leading an analytics team. • Demonstrated ability to develop analysts and raise team output quality and impact. • Deep expertise in A/B testing and experimentation, including hypothesis design, power analysis, and communicating results to non-technical stakeholders. • Advanced SQL skills and fluency across a modern data stack (data warehousing, BI tooling, analytics engineering). • Strong understanding of consumer product KPIs — retention, engagement, and monetization in a live service or F2P context. • Clear POV on where AI and automation can improve analytics team operations, with experience driving adoption. • Excellent cross-functional communication skills.

🏖️ Benefits

• Flexible work arrangements