Product Analyst, Subscriptions

The Weather Company is the world’s leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. Together with advanced technology and AI, The Weather Company’s high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way. The world’s most accurate forecaster globally, the company reaches hundreds of enterprise clients and more than 360 million monthly active users via its digital properties from The Weather Channel (weather.com) and Weather Underground (wunderground.com).

AI is part of how we work:

Human judgment, expertise, and creativity remain essential and are amplified by AI. We expect everyone in this role to use AI thoughtfully and proactively to accelerate their performance, improve the quality of their work, and explore new possibilities. We are looking for people who are curious, adaptable, and excited to help shape an AI-enabled culture that delivers better outcomes for our customers and our company.

We are seeking a Product Analyst to join our Data and Insights team supporting the TWC Subscriptions team. In this role, you will be the connective tissue between raw behavioral data and meaningful product subscription strategy, partnering across product, engineering, and data science to ensure we have a clear, accurate, and holistic view of behaviors that drive subscription growth. You will report to the VP, Data and Analytics and play a critical role in enabling the team to achieve our goals.

Analytics Infrastructure & Data Quality 

• Partner with the data science team to audit and ensure the integrity of data connections in Amplitude and other behavioral analytics systems, identifying and resolving tracking gaps, misfires, and schema issues. 
• Collaborate with engineering to validate event instrumentation is firing correctly before and after feature releases, maintaining a reliable source of truth for product data. 
• Establish and maintain documentation of the analytics event taxonomy, data dictionaries, and tracking standards to improve team-wide data literacy and reduce cross-functional sync overhead.

Measurement Planning & Analytics Configuration 

• Partner with product and engineering teams throughout the feature development lifecycle to ensure analytics are configured correctly from the start, reducing data validation delays post-launch. 
• Advise on and co-author measurement plans for new features, defining success metrics, instrumentation requirements, and how data will be captured, validated, and reported. ● Serve as an embedded analytics resource for the product team, reducing dependency on central analytics and enabling faster, more autonomous decision-making. 

Behavioral Analysis, User Understanding & Experimentation 

• Conduct deep analysis using Amplitude, Preset, and other behavioral data sources to build a robust, nuanced understanding of TWC users, proactively surfacing insights around engagement, retention, and feature adoption. 
• Partner with UX Research to develop a holistic picture of the TWC user by integrating behavioral data with qualitative research, sentiment signals, and user feedback — combining the “what” with the “why.” 
• Advise and assist the product team in designing, launching, and interpreting A/B and multivariate experiments, ensuring proper statistical rigor and communicating results with nuance and clarity to drive confident product decisions. 

• Bachelor’s degree in a quantitative or technical field (e.g., Statistics, Computer Science, Economics, Mathematics) or equivalent practical experience. 
• 3+ years of experience in product analytics, data analytics, or a similar role, ideally within a consumer-facing digital product (mobile app experience strongly preferred). 
• Proficiency in Amplitude or a comparable behavioral analytics platform (e.g., Mixpanel, Heap) is required. 
• Solid SQL skills; ability to independently query, clean, and analyze data from large datasets. 
• Solid grounding in A/B testing methodology, including statistical significance, sample size estimation, and experiment design. 
• Excellent communication skills; ability to translate complex data into clear, actionable recommendations for both technical and non-technical stakeholders.

• Experience with data visualization tools such as Preset, Looker, or Tableau, and familiarity with event instrumentation practices and CDPs such as mParticle.
• Experience with mobile app analytics and understanding of mobile measurement nuances (e.g., session definitions, background events, iOS vs. Android differences). 
• Background in or exposure to data engineering concepts (pipelines, schemas, ETL) that allows you to work fluently with data science and engineering partners. 
• Experience partnering with UX researchers on mixed-methods studies, integrating qualitative and quantitative data to form a complete view of user behavior.