Wayvia (formerly PriceSpider)

Senior Product Manager – Data and Analytics

Wayvia (formerly PriceSpider)

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

Visit company website
AI Apply
Apply

Salary

💰 $130,000 - $150,000 per year

Job Level

Senior

Tech Stack

Tableau

About the role

  • The Senior Product Manager for Data & Analytics will own key components of Wayvia's data product ecosystem, driving the execution of customer-facing analytics and premium insights offerings.
  • Conduct continuous customer to deeply understand pain points, business questions, and insights needs
  • Validate product assumptions through prototype reviews and customer feedback sessions
  • Assess current data assets and identify gaps: determine what additional data sources are needed to answer customer questions and unlock new insights
  • Collaborate with Partnerships team to evaluate potential data partners
  • Perform competitive analysis of analytics offerings in the e-commerce and retail intelligence space
  • Own specific analytics product areas within Wayvia's portfolio and identify and launch new premium data offerings
  • Define and prioritize features for customer-facing analytics dashboards and reporting capabilities
  • Collaborate on data feeds, data sharing, and internal intelligence products
  • Support development of conversational analytics and AI-enhanced data accessibility features
  • Ensure analytics products focus on actionable business outcomes rather than vanity metrics
  • Partner with Data Tech Lead and engineering to ensure data quality, consistency, and reliability across products
  • Identify and resolve data discrepancies across systems
  • Oversee functional quality of analytics products and customer-facing deliverables
  • Establish quality standards and validation processes for premium reports and premium data offerings
  • Translate customer needs and data requirements into detailed user stories and acceptance criteria
  • Work with engineering and design teams to develop and test prototypes, establishing MVPs for new analytics capabilities
  • Manage product backlog and sprint planning for assigned product areas
  • Lead beta testing programs with customers for new features and reports
  • Analyze product usage and customer feedback to identify improvement opportunities
  • Develop and communicate product roadmap for your areas of ownership
  • Collaborate with Sales, CSMs, and internal stakeholders to understand requirements and ensure successful product adoption
  • Work closely with data and engineering teams to balance customer needs with technical feasibility
  • Support decisions about when to offer custom reports versus standardized premium SaaS reports
  • Track and communicate product performance metrics to stakeholders

Requirements

  • 4+ years in product management, with at least 2 years focused on data analytics, business intelligence, or reporting products
  • Experience with B2B/enterprise SaaS, preferably in e-commerce, retail analytics, or martech
  • Strong understanding of analytics platforms and data visualization tools (Looker, Tableau, Power BI, or similar)
  • Proficiency in agile development practices and user story development
  • Analytical mindset with ability to derive insights from data and translate them into product requirements
  • Experience representing customer needs through personas, user stories, and product specifications
  • Ability to lead through influence and collaborate across technical and business teams.
Benefits
  • Flexible work-from-home arrangements
  • 401K Match
  • Flexible vacation
  • Medical/Dental/Vision
  • 16 weeks of paid parental leave (US)
  • Technical stipend
  • Professional development programs
  • Wellness programs

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
product managementdata analyticsbusiness intelligencereporting productsagile developmentuser story developmentcompetitive analysisdata qualitydata visualization
Soft skills
analytical mindsetcollaborationleadershipcustomer focuscommunication