Hybrid Senior Data Analyst

at Age of Learning

• Job title: Senior Data 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

• Data Analyst supporting Finance, Strategy, and Executive teams at Age of Learning. Analyzing subscription performance and providing insights for strategic decision-making.

Responsibilities

• Analyze subscription performance and economics: Conduct deep-dive analyses of subscriber acquisition, conversion, retention, and churn to understand and improve the health of the subscription business.
• Forecasting and planning: Build and maintain forecasting models for subscribers, cash, and revenue to support strategic planning.
• Define and track success metrics: Establish and refine KPIs that measure the health of the subscription business and define success for the company.
• Build self-serve reporting tools and dashboard: Create and maintain automated dashboards and reporting tools that enable business partners to monitor business health and explore data independently.
• Translate data into insights: Synthesize complex analyses into clear, actionable insights and recommendations that inform leadership decisions and improve revenue growth, retention, and profitability.
• Communicate findings clearly: Present results and recommendations to a broad range of stakeholders in a concise, compelling, and accessible way.
• Influence business reviews: Shape weekly and monthly business reviews with executive stakeholders, ensuring the right metrics and insights inform decisions on growth, retention, and profitability.

Requirements

• 6+ years of experience in a product analytics, data analytics, or related role supporting subscription-based businesses.
• 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; experience with data transformation and modeling (e.g., dbt) is a plus. Extensive experience with a BI tool such as Omni, Looker, or Lightdash.
• Ability to perform statistical analyses and create visualizations using R or Python; experience with forecasting, cohort analysis, or financial modeling is a plus.
• 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.

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