Lead Product Analytics

Salary: $96,400 - 139,500 per year Requirements:

• 5+ years of experience in product analytics, data analytics, or a closely related field
• Advanced SQL skills, including the ability to independently write complex queries and model data in Snowflake or a similar cloud data warehouse
• Strong understanding of experimental design and statistical inference
• Experience with digital analytics platforms such as Google Analytics and the ability to connect behavioral data to business outcomes
• Ability to turn ambiguous business questions into structured analytical approaches and communicate insights clearly to non-technical stakeholders
• Comfort working independently with a high level of ownership and accountability
• Bachelors degree in Engineering, Business, Analytics, or equivalent practical experience
• Preferred: Experience with AWS analytics services, including Amazon Connect Contact Lens
• Preferred: Hands-on experience building Looker (LookML) dashboards or similar BI tools
• Preferred: Familiarity with Salesforce Service Cloud and CRM data structures
• Preferred: Exposure to machine learning workflows such as Python, scikit learn, SageMaker, or Bedrock
• Preferred: Background in subscription-based, insurance, warranty, home services, or contact center-driven businesses

• Lead our product analytics strategy to inform and shape product decisions
• Build scalable self-service reporting and maintain Looker dashboards for product, marketing, and operations leaders
• Define and steward a single source of truth for core KPIs across Snowflake and Salesforce data sources
• Partner with Engineering and Data Engineering to ensure clean, well-documented data models support reporting
• Develop and manage our experimentation framework, including test design, instrumentation, statistical analysis, and readouts
• Advise product managers on experiment design, sample sizing, and distinguishing meaningful signal from noise
• Maintain a test-and-learn log that connects experiment outcomes to roadmap decisions
• Own end-to-end funnel analysis from awareness through enrollment and renewal using Google Analytics, Contact Lens call data, and Salesforce pipeline data
• Identify friction points and drop-off patterns that can drive immediate product and operational action
• Partner with Contact Center and Marketing teams to instrument new touchpoints and improve measurement coverage
• Support our Agentic AI roadmap by helping measure AI performance, agent effectiveness, and downstream business impact through Amazon Bedrock and Contact Lens
• Identify opportunities to apply machine learning techniques such as propensity modeling, churn prediction, and next-best-action

• Agentic AI
• AI
• AWS
• Cloud
• CRM
• Data Warehouse
• Support
• Looker
• Machine Learning
• Marketing
• Python
• SQL
• Salesforce
• Snowflake
• LLM
• Network
• Web

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Oncourse Home Solutions, also operated as American Water Resources, is a trusted home protection provider serving 2 million customers across 43 states and partnering with 25+ utilities and municipalities to deliver customized solutions that help homeowners protect essential systems such as HVAC, appliances, electrical, water, sewer, and gas lines. We are a $500 million organization backed by Apax Partners, and we offer competitive compensation, comprehensive benefits, paid time off, retirement and commuter benefits, education reimbursement, and a strong wellness and employee engagement culture. This Lead, Product Analytics role is an individual contributor position on our Product Management team, based in Naperville, IL or Mt. Laurel, NJ, with a required hybrid schedule of Tuesday through Thursday in office and Monday and Friday remote.

last updated 36 week of 2026