Product Operations Analyst
Job details
- Work mode
- Hybrid
- Employment
- Full-time
- Level
- Mid level
- Experience
- 4+ years
- Education
- Bachelor's degree
- Posted
- Oct 21, 2026
- Last confirmed open
- Oct 22, 2026
About this role
Product Operations Analyst
Location: Irving, TX, US
Industry: Hospital and healthcare
Work Setting: Hybrid
Are you passionate about using data, analytics, and AI-powered insights to improve product performance, accelerate decision-making, and drive business growth across a portfolio of technology products?
We are seeking a Product Operations Analyst to support product performance management, portfolio analytics, strategic reporting, and AI-enabled product operations. This role sits at the intersection of Product Management, Data Analytics, Engineering, Customer Success, and Business Operations, helping leaders make evidence-based decisions through robust metrics, dashboards, reporting frameworks, and AI-driven insights.
Key Responsibilities
Product Performance Tracking
- Define, maintain, and evolve product KPI taxonomies and performance measurement frameworks across the product portfolio.
- Build and maintain product performance dashboards, scorecards, and reporting infrastructure.
- Partner with Engineering and Data teams to ensure data instrumentation, accessibility, accuracy, and visualization standards are maintained.
- Establish recurring product health review processes and performance reporting cadences.
- Monitor product performance metrics to identify trends, risks, opportunities, and early-warning indicators.
- Generate actionable insights that support product optimization, investment prioritization, and growth strategies.
- Leverage AI-powered tools to improve consistency, scalability, and efficiency of metric analysis and reporting activities.
Portfolio Insights & Strategic Reporting
- Aggregate and analyze data across multiple product lines to provide executive-level portfolio insights.
- Develop leadership dashboards, KPI tracking reports, executive summaries, and business reviews.
- Translate complex data into meaningful narratives and recommendations for business and product leaders.
- Analyze Voice of Customer (VOC) feedback using AI-enabled tools to identify recurring themes, opportunities, and risks.
- Monitor competitive intelligence, market trends, customer needs, and industry developments.
- Support strategic product decisions with evidence-based recommendations and performance analysis.
Product Operations & Operating Model Excellence
- Support and administer product prioritization frameworks and portfolio governance processes.
- Evaluate product investments, resource allocation, roadmap effectiveness, and portfolio performance.
- Develop onboarding materials, training content, playbooks, and operational documentation for Product Managers.
- Support coaching initiatives related to:
- Product prioritization
- Experimentation
- Product metrics
- ROI analysis
- Roadmap planning
- Drive adoption of AI-powered product management workflows and productivity tools.
- Identify opportunities to automate operational processes and improve organizational efficiency.
Product Strategy
Support
- Conduct market research, competitive analysis, and customer intelligence gathering using AI-assisted tools.
- Monitor roadmap progress and identify opportunities to accelerate product delivery and customer value realization.
- Support product strategy initiatives through data analysis, business case development, and opportunity assessment.
- Collaborate with leadership teams to align performance metrics with business objectives and growth strategies.
Cross-Functional Collaboration
- Partner closely with:
- Product Management
- Engineering
- Customer Success
- Commercial Teams
- Data & Analytics Teams
- Executive Leadership
- Facilitate discussions, document decisions, track action items, and ensure accountability across teams.
- Serve as a liaison between business stakeholders and technical teams to drive operational alignment.
Required Qualifications
- Bachelor's degree or equivalent professional experience.
- 4+ years of experience in:
- Product Operations
- Product Management
- Business Analytics
- Technology Consulting
- Product Strategy
- Technology Transformation
- Strong experience with AI-enabled productivity and product management tools such as:
- Claude
- Atlassian Rovo
- Figma AI
- Similar AI-first platforms
- Strong understanding of:
- Product KPIs
- Product Health Metrics
- Portfolio Reporting
- Prioritization Frameworks
- Product Operating Models
- Experience building dashboards, reporting frameworks, and performance tracking systems.
- Strong analytical and problem-solving skills.
- Excellent verbal and written communication skills.
- Proven ability to influence stakeholders without direct authority.
Required Technical Skills
Analytics & Reporting
- Excel
- SQL
- Tableau
- Power BI
- Looker
- Dashboard Development
- Data Visualization
Data & Analysis
- Product Analytics
- KPI Development
- Product Health Monitoring
- Performance Reporting
- Business Intelligence
- Data Storytelling
AI & Automation
- AI-Powered Analytics
- AI Productivity Tools
- AI-Assisted Research
- Workflow Automation
- Operational Intelligence
Product Operations
- Product Portfolio Management
- Product Prioritization
- Product Governance
- Product Reviews
- Performance Measurement
- Operating Model Management
Preferred Qualifications
- Experience using AI and automation tools to accelerate product management and reporting workflows.
- Experience supporting multi-product platform organizations and product transformation initiatives.
- Familiarity with:
- Cloud Platforms
- API Ecosystems
- Data Platforms
- Software Product Development
- Experience in:
- Healthcare Technology
- Pharmacy Operations
- Supply Chain Solutions
- Predictive Analytics
- Knowledge of modern product operating models and product-led organizations.
Key Skills
- Product Operations
- Product Analytics
- Product Performance Management
- Portfolio Management
- KPI Development
- Dashboard Development
- SQL
- Tableau
- Power BI
- Looker
- Business Intelligence
- AI-Powered Analytics
- Product Strategy
- Competitive Intelligence
- Voice of Customer (VOC)
- Product Prioritization
- Stakeholder Management
- Executive Reporting
- Cross-Functional Leadership
- Data Storytelling