Position Summary

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:

• 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.

We're Excited if this is You!

Experience and Qualifications of the Role:

• Experience with AWS analytics services, including Amazon Connect Contact Lens.
• Familiarity with Salesforce Service Cloud and CRM data structures.
• Exposure to machine learning workflows (e.g., Python, scikit-learn, SageMaker, or Bedrock).
• Background in subscription-based, insurance, warranty, home services, or contact-center-driven businesses.

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.

Certificates, Licenses, Registrations:

• N/A

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.

Join our SUPER Team and Enjoy Amazing Benefits!

• Competitive Compensation: We value your hard work and are proud of our competitive pay for performance philosophy.
• Comprehensive Health Coverage: Medical, dental, and vision insurance options, plus paid short-term and long-term disability coverage.
• 401(k) Plan with 4% Company Match: Secure your future with our robust retirement plan.
• Generous Paid Time Off: Take the time you need to recharge and relax.
• Education Assistance Program: Invest in your growth and development with our support.
• FSA/HSA Options: Flexible spending and health savings accounts to manage your transportation and dependent care expenses.
• Employee Wellness: Access to EAP, health, legal, and financial resources to support your overall well-being.
• Vibrant Company Culture: Monthly Townhalls, employee recognition programs, and Employee Business Resource Groups (EBRGs) to keep you engaged and connected.

Competencies:

Problem Solving - Uses rigorous logic and methods to solve difficult problems with effective solutions; probes all fruitful sources for answers; can see hidden problems; is excellent at honest analysis; looks beyond the obvious and doesn't stop at the first answers.

Strategic Agility - Sees ahead clearly; can anticipate future consequences and trends accurately; has broad knowledge and perspective; is future oriented; can articulately paint credible pictures and visions of possibilities and likelihoods; can create competitive and breakthrough strategies and plans.

Action Orientated - Enjoys working hard; is action oriented and full of energy for the things that he/she sees as challenging; not fearful of acting with a minimum of planning; seizes more opportunities than others.

Functional / Technical Skills - Has the functional and technical knowledge and skills to do the job at a high level of accomplishment.

Organizational Agility - Knowledgeable about how organizations work; knows how to get things done both through formal channels and the informal network; understands the origin and reasoning behind key policies, practices, and procedures; understands the cultures of organizations.