Product Analytics Senior Manager (IC)

Product Analytics Senior Manager

Oncourse Home Solutions, also operated as American Water Resources, is a trusted home protection provider helping homeowners across the country protect what matters most. We are a $500 million organization backed by private equity firm Apax Partners, serving 2 million customers across 43 states. We partner with 13+ utilities and municipalities (and growing!) to provide customized solutions tailored to any community - delivering real value where people live. We help homeowners protect the essential systems that keep their homes running - from HVAC, appliances, and electrical to water, sewer, gas lines, and more - so they can avoid the stress and financial impact of unexpected repairs. Our work helps homeowners stay safe, comfortable, and confident in their homes every day. At Oncourse, our people are what makes that possible. We invest in our employees through competitive benefits, an inclusive culture, and employee-led resource groups that strengthen connection, community, and belonging across the company.

The Product Analytics Senior Manager is an individual contributor role within the Product Management team. This role is responsible for the product analytics strategy to inform and influence product decisions. The Senior Manager will build scalable, self-service reporting, design and analyze experiments, map and optimize product funnels, and translate data into actionable insights. Over time, the role will also leverage AI/ML-driven analytics to surface deeper insights and predictive recommendations. Located at our office in Naperville, IL or Mt. Laurel, NJ, our office environment is a key driver of our company culture and employee experience, so a regular in-office hybrid model (T-TH in office and M & F remote) is required.

Responsibilities include but are not limited to:

• Design and maintain Looker dashboards that give product, marketing, and operations leaders direct access to the metrics that matter most.
• Define a single source of truth for core KPIs (enrollment conversion, retention save rates, average handle time, customer lifetime value), working across Snowflake and Salesforce data sources.
• Partner with Engineering and Data Engineering to ensure clean, well-documented data models underpin all reporting.
• Build and manage the experimentation framework from the ground up: test design, instrumentation, statistical analysis, and readout.
• Own end-to-end funnel analysis from awareness through enrollment and renewal, using Google Analytics, Contact Lens call data, and Salesforce pipeline data.
• Support the company's Agentic AI roadmap by contributing analytical rigor to AI performance measurement (tracking model outcomes, agent effectiveness, and downstream business impact) via Amazon Bedrock and Contact Lens.

We're Excited if this is You! Experience and qualifications of the role:

• 5+ years of experience in product analytics, data analytics, or a closely related function.
• Advanced SQL expertise with the ability to independently write complex queries and model data in Snowflake or a comparable cloud data warehouse.
• Hands-on experience building Looker (LookML) dashboards or similar BI tools.
• Strong understanding of experimental design and statistical inference.
• Experience working with digital analytics platforms such as Google Analytics and connecting behavioral data to business outcomes.
• Ability to translate ambiguous business questions into structured analytical approaches and clearly communicate insights to non-technical stakeholders.
• Comfortable operating independently with a high level of ownership and accountability.

Computer skills needed to perform the job:

• Snowflake — cloud data warehouse
• Looker — BI and self-serve dashboards
• Google Analytics — web and digital behavioral data
• Amazon Connect & Contact Lens — call recording, transcription, and sentiment (AWS)
• Amazon Bedrock — generative AI / LLM infrastructure
• Salesforce Service Cloud — CRM and operational data

Education: Bachelor's degree in Engineering, Business, Analytics, or equivalent practical experience.

We offer a compelling total rewards package that includes a competitive base salary and comprehensive benefits to support your total wellbeing. The base pay range for this position is $96,400 - $139,500 USD Annual. The specific pay offered will depend on qualifications, experience, education and skill set. The compensation offered may also include an annual performance-based bonus, sales incentive plan or commission target. Our benefits include, but are not limited to, healthcare, life insurance, paid time off, retirement, commuter benefits, and education reimbursement. Exact compensation may vary based on skills, experience, and location.