Product Operations Analyst
Job details
- Work mode
- Hybrid
- Level
- Mid level
- Experience
- 4+ years
- Education
- Bachelor's degree
- Posted
- Oct 26, 2026
- Last confirmed open
- Oct 26, 2026
About this role
Product Operations Analyst Location: Columbus, OH, US Industry: Hospital and healthcare Work Setting: Hybrid Are you passionate about using data, AI, and product insights to drive better business outcomes and customer experiences? We are looking for a Product Operations Analyst to support product performance tracking, portfolio insights, and strategic reporting across a portfolio of technology products.
In this role, you will partner with Product, Engineering, Analytics, Customer Success, and Commercial teams to establish performance standards, build reporting frameworks, and leverage AI-driven insights to support product growth and operational excellence.
What You'll Do
- Product Performance & Analytics Maintain and enhance KPI frameworks that measure product health and business impact across multiple products.
- Build, manage, and optimize product performance dashboards and reporting solutions.
- Coordinate with technical teams to ensure data accuracy, instrumentation, and reporting consistency.
- Prepare materials and templates for product performance reviews and executive reporting.
- Monitor key performance indicators, identify trends, risks, and opportunities, and support data-driven decision making.
- Analyze portfolio-wide performance data using AI-enabled tools to uncover patterns and actionable insights.
- Portfolio Insights & Strategic Reporting Consolidate performance data into executive-ready reports and business narratives.
- Develop KPI scorecards, reporting templates, and strategic performance updates.
- Analyze customer feedback and voice-of-customer data to identify recurring themes and improvement opportunities.
- Research market trends, competitive activity, and industry developments to support product strategy.
- Promote best practices for data governance, reporting consistency, and AI-driven analytics.
Product Operations & Process Excellence
Support product prioritization frameworks and operational governance activities. Develop enablement materials, onboarding resources, and training content for product teams. Assist in coaching and supporting product managers on prioritization, experimentation, planning, and ROI evaluation.
Support adoption and administration of AI-powered tools that improve product operations and workflow efficiency. Identify opportunities to automate and streamline operational processes through AI and analytics.
Product Strategy
Support Leverage AI-enabled research tools to analyze customer needs, market trends, and competitive landscapes. Track roadmap progress and identify opportunities to accelerate delivery and product outcomes. Provide insights that support portfolio planning and strategic decision-making.
Required Qualifications
- Bachelor’s degree or equivalent practical experience.
- 4+ years of experience in Product Operations, Product Management, Business Analytics, Technology Consulting, or related fields.
- Experience working with AI-powered productivity and product development tools.
- Strong analytical and reporting skills with experience in SQL, Excel, Python, R, Power BI, Tableau, Looker, or similar platforms.
- Knowledge of product metrics, KPI frameworks, dashboard development, and prioritization methodologies.
- Excellent organizational and project coordination skills with the ability to manage multiple priorities.
- Strong stakeholder management and cross-functional collaboration abilities.
- Experience translating data into meaningful business insights and recommendations.
- Strong written communication, presentation, and storytelling capabilities.
- Ability to influence teams and drive accountability without direct authority.
Preferred Qualifications
- Experience using AI and automation solutions to enhance product management workflows.
- Exposure to product operating models within multi-product or platform-based organizations.
- Familiarity with cloud technologies, APIs, data platforms, and modern software ecosystems.
- Experience in healthcare, supply chain, pharmacy operations, analytics, or related industries.