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SeniorFull-timePythonAWSData ScienceGit
Salary Range
$71,825 - $97,175 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a proactive and intellectually curious Product Analyst to join Age of Learning, a leading developer of engaging learning resources for children. You will play a key role in driving the success of our consumer products, including ABCmouse and Adventure Academy, by analyzing customer behavior and product performance.
Key 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
- ✓6+ years of experience in 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.
- ✓Experience with data transformation and modeling (e.g., dbt).
- ✓Extensive experience with a BI tool such as Omni, Looker, or Lightdash.
- ✓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.
