Senior Manager, Analytics

Arena Club•Los Angeles, CA

About The Position

Arena Club is seeking a strategic, hands-on Senior Manager to anchor, scale, and lead its data analytics function. As the company’s first dedicated analytics leader, this person will be the principal data partner to Marketing, Finance, Product, and Operations. The role combines strategic leadership—including defining core KPIs, managing stakeholder intake, and mentoring a growing team—with hands-on analytics work and presenting insights to executive leadership. It is suited to a builder who thrives in a high-growth environment and wants to shape the data culture of a scaling marketplace. The Senior Manager will establish analytics practices and priorities, build predictive models, design experiments, uncover growth opportunities, and partner with Data Engineering to ensure data models support robust business analysis. The role requires translating complex business questions and quantitative findings into actionable recommendations for business stakeholders and executives.

Requirements

Bachelor’s or Master’s degree in a quantitative discipline such as Statistics, Economics, Mathematics, Computer Science, or a related field.
At least 6 years of progressive experience in product, business, or marketplace analytics.
At least 2 years of experience managing, mentoring, or leading technical reports.
Proficiency in SQL, including advanced CTEs, window functions, and query optimization.
Hands-on experience building predictive models using Python or R.
Strong command of analytics frameworks such as cohort retention, multi-touch attribution, funnel analysis, and user-journey mapping.
Comfort operating within a modern data ecosystem, such as Snowflake, dbt, and BI tools like Omni, Looker, or Tableau.
Hands-on experience using AI tools, such as Claude, LLMs, or AI coding assistants, to accelerate analytics workflows and code production.
Exceptional communication skills, including the ability to distill quantitative findings into clear business strategies for executive and non-technical audiences.

Responsibilities

Manage and mentor the founding analyst and senior analytics engineer, establishing best practices for code review, documentation, and career growth.
Partner with Product, Marketing, Finance, and Operations, translating complex business problems into structured data initiatives.
Establish a centralized intake and prioritization framework that aligns analytics resources with high-impact business goals.
Define and own core company KPIs to create a single source of truth.
Design and deploy predictive models, such as lifetime value, churn, propensity, and demand forecasting models, to optimize marketplace mechanics.
Design, execute, and analyze A/B tests and incrementality frameworks, including holdout designs for marketing promotions and customer loyalty initiatives.
Proactively identify growth opportunities and communicate narrative-driven, actionable recommendations to leadership.
Partner with Data Engineering to define requirements for core data models and ensure downstream data structures support business analysis.