Product Data Analyst

About Responsive

Responsive (formerly RFPIO) is the global leader in strategic response management software, transforming how organizations share and exchange critical information. The AI-powered Responsive Platform is purpose-built to manage responses at scale, empowering companies across the world to accelerate growth, mitigate risk and improve employee experiences. Nearly 2,000 customers have standardized on Responsive to respond to RFPs, RFIs, DDQs, ESGs, security questionnaires, ad hoc information requests and more. Responsive is headquartered in Portland, OR, with additional offices in Kansas City, MO and Coimbatore, India. Learn more at responsive.io.

About the Role

We are looking for a Product Data Analyst who can turn raw product usage data into meaningful insights that shape product strategy and improve customer experience. The ideal candidate is highly analytical, skilled at digging deep into product data, and able to clearly communicate insights that drive decision-making. You will work closely with product managers, customer success, and leadership teams to uncover trends, identify opportunities, and measure the impact of product initiatives.

Experience with ETL and BI tools is a plus, but the primary focus is on analyzing data, deriving insights, and storytelling. Familiarity with product analytics platforms (Mixpanel, Gainsight PX, Amplitude, etc.) is an advantage.

Key Responsibilities :

• Product Data Analysis : Analyze product usage, customer behavior, and funnel performance to identify trends, bottlenecks, and opportunities for growth.
• Insights & Storytelling : Translate complex data into clear, actionable insights with compelling narratives for product, growth, and leadership teams.
• Stakeholder Collaboration : Partner with product managers and other teams to define KPIs, track success metrics, and recommend data-informed decisions.
• Experimentation & Measurement : Support feature usage tracking, feature adoption studies, and customer journey analysis to measure product impact.
• Data Preparation : Clean, structure, and prepare datasets for analysis, ensuring accuracy and usability.
• Visualization & Reporting : Build intuitive dashboards and reports to monitor key product metrics and democratize data access across the organization.
• Continuous Improvement : Stay up-to-date with product analytics best practices, tools, and methodologies.

Skills Required :

Nice to Have :

Qualifications :