Jobs · Analyst

Senior Product Analyst

Age of Learning · United States · 1 wk ago
RemoteRemoteAnalyst$150k/yrFull-time

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.
  • 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.

Qualifications

  • 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.

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