Note: The job is a remote job and is open to candidates in USA. Age of Learning is the leading developer of engaging and effective Pre-K through 2nd grade learning resources. They are seeking a proactive Product Analyst to drive the success of their consumer products, utilizing data analysis and statistical techniques to inform product decisions and improve customer engagement.

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

Skills

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

Benefits

• 91% of employee health and welfare benefits premiums & 70% 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
• 7 paid days for company-wide year end closure (includes 3 observed paid holidays)
• Our flexible work culture means 2 or more days in the office (hybrid) or 100% fully remote options available for most positions

Company Overview

Company H1B Sponsorship