Product Data Analyst

About Responsive

Responsive, formerly RFPIO, is the market leader in an emerging new category of SaaS solutions called Strategic Response Management. Responsive customers including Google, Microsoft, Blackrock, T.Rowe Price, Adobe, Amazon, Visa and Zoom are using Responsive to manage business critical responses to RFPs, RFIs, RFQs, security questionnaires, due diligence questionnaires and other requests for information. Responsive has nearly 2,000 customers of all sizes and has been voted “best in class” by G2 for 13 quarters straight. It also has more than 35% of the cloud SaaS leaders as customers, as well as more than 15 of the Fortune 100. Customers have used Responsive to close more than $300B in transactions to-date.

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

• 1 to 3 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, PowerBI, 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.