Senior 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 seeking a highly analytical and self-driven Senior Product Data Analyst specializing in user behavior analysis, predictive analytics, and advanced data modeling. The ideal candidate will have a strong understanding of data architecture, machine learning techniques, and BI tools to drive data-informed decision-making. This role will focus on analyzing user interactions, forecasting trends, and uncovering insights to enhance product strategy and customer engagement. As a B2B SaaS product company, we are looking for someone with a deep understanding of product analytics in a SaaS environment to help drive meaningful insights and business impact.

Essential Responsibilities

• Analyze user behavior data to uncover patterns, trends, and actionable insights that improve user experience and engagement.
• Develop predictive models and machine learning algorithms to forecast customer actions, churn, and product usage trends.
• Conduct cohort analysis, retention analysis, and funnel analysis to evaluate product performance and customer journey.
• Design, develop, and maintain robust data pipelines using Python to extract, transform, and load (ETL) data from MongoDB into PostgreSQL.
• Optimize data workflows and ensure seamless integration of data from multiple sources.
• Develop interactive dashboards and reports using Tableau to visualize key metrics and trends.
• Implement advanced analytics techniques, such as anomaly detection and time-series forecasting, to enhance reporting capabilities.
• Implement rigorous data validation and quality checks to ensure accuracy and consistency in analysis and reporting.
• Maintain documentation of data architecture, ETL processes, and analytical methodologies for transparency and scalability.
• Work closely with product managers, engineers, and stakeholders to define data-driven strategies.
• Provide deep analytical insights and translate complex data into strategic recommendations that drive business decisions.
• Present findings to both technical and non-technical audiences in a compelling and clear manner.

Education

• Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field.

Experience

• 6+ years of experience in a data analyst or similar analytical role.
• Experience with NoSQL databases (e.g., MongoDB) and working with REST APIs.
• Exposure to Product Analytics tools like Gainsight PX, Mixpanel, Amplitude, or Google Analytics.
• Experience in a B2B SaaS Product environment with customer analytics and product usage analysis

Knowledge, Ability & Skills

• Proficiency in SQL: Strong skills in writing complex queries, aggregations, and joins across relational databases.
• Experience with BI Tools: Hands-on experience with Tableau, Looker Studio, Power BI, or similar tools to build dashboards and reports.
• Data Visualization & Storytelling: Ability to craft meaningful visualizations and communicate insights effectively.
• Python for Data Analysis: Strong experience in Python scripting for data extraction, transformation, and automation.
• Predictive Analytics & Machine Learning: Experience with libraries such as Scikit-learn, TensorFlow, or XGBoost for predictive modeling.
• Data Relationship & Blending: Experience integrating multiple data sources to derive a comprehensive analytical view.
• Self-driven & Proactive: Ability to work independently, take ownership of projects, and continuously explore innovative analytical approaches.
• Strong problem-solving skills and attention to detail in data-driven decision-making.
• Excellent communication skills to interact with stakeholders and present analytical findings clearly.