Hybrid Senior Product Analyst

at Age of Learning

• Job title: Senior Product Analyst
• Job type: Full Time
• Experience level: Senior
• Salary: $150,000 - $170,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python, SQL
• Location requirements: Hybrid, United States

About the role

• Product Analyst at Age of Learning focusing on consumer products like ABCmouse and Adventure Academy. Analyzing data and designing A/B tests to enhance user engagement and product success.

Responsibilities

• Design and analyze experiments: Lead A/B testing across desktop and mobile platforms to inform product launches and iterations.
• Analyze customer behavior: Conduct deep-dive exploratory analyses to understand how customers subscribe, pay, engage, retain, and churn.
• Apply statistical and data science techniques: Use statistical methods and analytical modeling to evaluate product performance and understand customer behavior.
• Define and track success metrics: Establish and refine KPIs that guide product iteration and define success for the company.
• Build self-serve reporting and dashboards: Create and maintain automated dashboards and reporting tools that enable Product Managers and business partners to monitor product and business performance independently.
• Translate data into insights: Synthesize complex analyses into clear, actionable insights that drive improvements in conversion, engagement, retention, and learning outcomes.
• Communicate findings clearly: Present results and recommendations to a broad range of stakeholders in a concise, compelling, and accessible way.

Requirements

• Experience: 6+ years of experience in a product analytics, data analytics, or related role supporting large-scale digital products. Experience in games, edtech, or subscription-based businesses is a plus.
• Experimentation: Strong experience designing, executing, and analyzing A/B tests to inform product decisions.
• Exploratory analysis: Ability to conduct exploratory data analyses and synthesize complex datasets and ambiguous questions into clear, actionable insights.
• Technical skills: Advanced proficiency in SQL for querying large datasets; experience with data transformation and modeling (e.g., dbt) is a plus. Extensive experience with a BI tool such as Omni, Looker, or Lightdash.
• Statistical analysis: Ability to perform statistical analyses and create visualizations using R or Python.
• Education: Bachelor’s or Master’s degree in a quantitative field (e.g., statistics, applied math, data science, economics, computer science, or related discipline).
• Mindset & collaboration: Curious, motivated self-starter who thrives in a collaborative, high-performing environment and values high-quality, thoughtful analysis.

Benefits

• 90% of employee health and welfare benefits premiums & 65% of dependent benefits premiums
• A 401(k) program with employer match
• 15 paid vacation days (increases to 20 days on your 3rd anniversary), 12 observed national paid holidays, 9 sick days, and 16 paid volunteer hours per year
• Our flexible work culture means 2 or more days in the office (hybrid) or 100% fully remote options available for most positions