Product Operations Analyst

About the role

Planful is the pioneer of financial performance management cloud software. The Planful platform, which helps businesses drive peak financial performance, is used around the globe to streamline business-wide planning, budgeting, consolidations, reporting, and analytics. Planful's award-winning AI capabilities accelerate decision-making, helping Planful users in over 100 countries to close faster, accelerate cycle times, increase productivity, and improve accuracy. Planful is a private company with more than 1,500 customers, including Bose, Boston Red Sox, Five Guys, Grafton Plc, Gousto, and Specialized, and is backed by Vector Capital, a leading global private equity firm. Learn more at Planful.com . Planful is seeking a highly analytical and business-minded Product Analyst to join our Product Operations team. In this role, you will help shape product strategy through data, insights, and operational excellence. As a key partner to Product Management, Engineering, GTM, and Leadership teams, you will transform complex data into actionable recommendations that drive product adoption, customer value, and business growth. You'll own critical reporting, KPI frameworks, analytics tooling, and executive insights that enable data-driven decision making across the organization. This role is ideal for someone who enjoys solving complex problems, uncovering patterns in customer behavior, and leveraging modern AI-powered tools to improve productivity and decision quality.

Responsibilities

• Product Analytics & Insights
• Build and maintain dashboards and reporting frameworks that translate product and business data into actionable insights.
• Own product usage analytics across platforms such as Pendo, Salesforce, Sumo Logic, SQL, and BI tools, providing visibility into product adoption, engagement, retention, and growth.
• Develop and maintain the customer intake process with Jira Discovery
• Partner with Product Managers to evaluate feature adoption, customer behavior, and product performance.
• Conduct funnel analysis, cohort analysis, retention tracking, and KPI measurement to inform roadmap and investment decisions.
• Identify trends, opportunities, and risks through deep behavioral and operational analysis.
• Support experimentation efforts, hypothesis testing, and data-driven decision making.
• AI & Automation
• Leverage GenAI and AI-assisted workflows to improve analytical efficiency, reporting quality, and operational effectiveness.
• Evaluate and implement new AI-powered tools and processes that enhance Product Operations.
• Partner with Product and Engineering teams to identify opportunities for automation and self-service analytics.
• Why Planful
• Planful exists to enrich the world by helping our customers and our people achieve peak performance. To foster the best in class work we're so proud of, we've created a best in class culture, including:
• Volunteer days, Birthday PTO, and company-wide Wellness Days
• Supply of diapers and meal deliveries for the first month of your Maternity/Paternity leave
• Office hubs in Hyderabad and Indore. Employees also receive benefits such as a home office setup allowance, as well as monthly reimbursements for Wi-Fi and cell phone expenses.
• Join Employee Resource Groups like Women of Planful , Parents of Planful , and more. We celebrate individuality and encourage teammates to bring their authentic selves to work - with full support for creating new ERGs and communities along the way
• Participate in People Programs that foster connection and wellbeing, such as Movember , Summer Wellness , Breast Cancer Awareness Month , and Hispanic Heritage Month

Requirements

• 2-4 years of experience in a Product Analyst, Business Analyst, Data Analyst, or similar role within a SaaS environment
• Advanced SQL skills and experience working with modern BI platforms such as Power BI, Tableau, Looker, or similar tools
• Hands-on experience with product analytics platforms such as Pendo, Amplitude, Mixpanel, or Google Analytics.
• Deep understanding of SaaS product metrics, including adoption, engagement, retention, growth, and funnel analysis.
• Experience working closely with Product Management and cross-functional teams.
• Use AI/LLM-powered tools and workflows.
• Comfortable operating in a fast-paced, highly collaborative environment.

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