Experimentation Analytics Lead

About the role

The LA Clippers are seeking an Experimentation Analytics Lead to drive business decisions through experimental design and analysis across fan engagement, ticketing, and revenue programs.

Responsibilities

• Designs experiments across fan lifecycle, ticketing, and personalization — including hypothesis development, sample sizing, holdout strategy, and pre-registration of success metrics.
• Analyzes experiment results using appropriate statistical methods: significance testing, confidence intervals, multiple-comparison correction, and causal inference techniques where pure randomization isn't feasible.
• Synthesizes results into clear, decision-ready recommendations for stakeholders at all levels of the organization.
• Develops measurement frameworks for incrementality and lift on initiatives that don't fit traditional A/B testing — always-on channels, brand-level work, and multi-touch journeys.
• Establishes and maintains experimentation standards across the organization — including pre-registration of hypotheses, guardrails against p-hacking, and documentation of completed and failed tests as a shared body of organizational learning.

Requirements

• 4-7 years of experience in experimentation, marketing analytics, data science, or quantitative consulting, with demonstrated end-to-end ownership of experiment design and analysis.
• Strong statistical foundation: hypothesis testing, confidence intervals, power analysis, regression, and causal inference methods.
• Proficiency in SQL and at least one analytical or scripting language (Python).
• Experience working with cloud data platforms and modern BI tools.
• Strong written and verbal communication — ability to translate statistical concepts into business language for non-technical stakeholders.
• Experience designing and analyzing experiments at scale in a consumer-facing business preferred.
• Exposure to ML and propensity modeling concepts; comfort partnering with data scientists on model validation through experimentation.
• Bachelor's degree in Statistics, Economics, Data Science, Mathematics, Engineering, or a related quantitative field — or equivalent practical experience.
• Demonstrated dedication with the ability to lead projects from origin through execution.
• Ability to learn, contribute and thrive in a fast-growing, dynamic environment.
• Effective interpersonal skills, both oral and written.
• Self-starter and entrepreneurial spirit with hands-on approach towards business.

Qualifications

• 4-7 years of experience in experimentation, marketing analytics, data science, or quantitative consulting, with demonstrated end-to-end ownership of experiment design and analysis.
• Strong statistical foundation: hypothesis testing, confidence intervals, power analysis, regression, and causal inference methods.
• Proficiency in SQL and at least one analytical or scripting language (Python).
• Experience working with cloud data platforms and modern BI tools.
• Strong written and verbal communication — ability to translate statistical concepts into business language for non-technical stakeholders.
• Experience designing and analyzing experiments at scale in a consumer-facing business preferred.
• Exposure to ML and propensity modeling concepts; comfort partnering with data scientists on model validation through experimentation.
• Bachelor's degree in Statistics, Economics, Data Science, Mathematics, Engineering, or a related quantitative field — or equivalent practical experience.
• Demonstrated dedication with the ability to lead projects from origin through execution.
• Ability to learn, contribute and thrive in a fast-growing, dynamic environment.
• Effective interpersonal skills, both oral and written.
• Self-starter and entrepreneurial spirit with hands-on approach towards business.

Skills

• Statistical foundation: hypothesis testing, confidence intervals, power analysis, regression, and causal inference methods.
• SQL and at least one analytical or scripting language (Python).
• Experience working with cloud data platforms and modern BI tools.
• Strong written and verbal communication.
• Experience designing and analyzing experiments at scale in a consumer-facing business.
• Exposure to ML and propensity modeling concepts.
• Hands-on approach towards business.

Benefits

• Medical, Dental and Vision plans
• 401(k) plan with company contribution
• Wellbeing Allowance of up to $1,000 per year
• Financial Education and Wellness Program, including access to Certified Financial Planners
• Paid vacation and sick time
• Paid parental leave
• Flexible Spending Accounts (Medical and Dependent Care)
• Company-paid Long Term Disability insurance
• Company-paid Life and AD&D Insurance
• Voluntary Life Insurance options for employee, spouse and children
• Employee Assistance Program
• Mind health support via Modern Health and Headspace
• Fertility and Family Planning Assistance via Carrot

Pay

$115,000 - $135,000 annual compensation.

Schedule

24 hour, 7 day a week operation with the transition of numerous daily events.