Senior Manager, Analytics

Arena Club•Los Angeles, CA

1d•$140,000 - $200,000

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 serve as the principal data partner to Marketing, Finance, Product, and Operations. The role balances strategic leadership—defining core KPIs, managing stakeholder intake, and mentoring a growing team—with hands-on analysis and presenting insights to executive leadership. It is suited to a builder who thrives in a high-growth environment and wants to help shape the data culture of a scaling marketplace. The Senior Manager will lead and mentor the founding analyst and senior analytics engineer, establish analytics best practices, and partner with Data Engineering on data models. They will develop predictive models, experimentation and attribution frameworks, and actionable insights to support company decision-making. The stated base salary range is $140,000–$200,000 USD; total compensation includes base salary, bonus, and equity.

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 complex 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.
Act as the primary analytics partner for Product, Marketing, Finance, and Operations, translating business problems into structured data initiatives.
Establish a centralized intake and prioritization framework to align analytics resources with high-impact business goals.
Define and own core company KPIs to establish 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 deliver actionable, narrative-driven recommendations to leadership.
Partner with Data Engineering to define requirements for core data models and ensure downstream data structures support business analysis.