Job
Description
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 Responsive is seeking a motivated Product Data Analyst to drive data-informed decisions by analyzing product data and providing valuable insights. You will collaborate with various teams to ensure accurate data extraction and create impactful reports and dashboards. Your role will focus on transforming complex data into actionable insights, ensuring data quality, and presenting findings to stakeholders to support effective product development and business strategies Essential Responsibilities Design, develop, and maintain robust data pipelines using Python to extract, transform, and load data from MongoDB into PostgreSQL. Analyze product data from various sources to deliver meaningful insights and recommendations. Create and maintain interactive reports and dashboards using Tableau or other BI tools to visualize data trends, KPIs, and metrics. Implement data quality checks and validation processes to ensure data integrity and accuracy throughout the ETL process. Collaborate with product and analytics teams to understand data requirements and ensure accurate data extraction. Blend data from multiple sources or establish relationships between datasets to provide a holistic view of business needs. Present analytical findings to both technical and non-technical stakeholders, helping them understand key trends and insights. Document data architecture, ETL processes, and analytical findings for internal reference and compliance. Stay updated with industry best practices in data engineering, data analysis, and data governance to enhance the organization’s data strategy. Education Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field Experience 6+ years of direct experience in product data analysis or related field Experience with SQL database and Python scripting is preferred NoSQL experience is an advantage. Knowledge, Ability & Skills Strong analytical skills and ability to manipulate and interpret data using tools such as SQL, Excel, Tableau, Looker, Python Scripting Excellent written and verbal communication skills with the ability to effectively present complex data to non-technical stakeholders Ability to work collaboratively in a cross-functional team environment Detail-oriented with the ability to manage multiple priorities and deadlines Familiarity with product management concepts and Agile methodology is a plus. Show more Show less
