Remote Senior Product Data Analyst

Summary

Join our team as a Senior Product Data Analyst and help us make strategic business decisions with valuable product usage & behavior data! You will work cross-functionally to analyze customer outcome data, prioritize features, and identify areas of improvement. This role requires strong analytical, communication, and project management skills, experience with product monetization and FP&A practices, and the ability to effectively collaborate cross-functionally.

Requirements

• Strong analytical, communication, and project management skills
• Experiences with product monetization and FP&A practices
• Practical experience in a business environment influencing decision making with data
• Experience owning cross-functional support of a Business Intelligence tool
• Experience using SQL to transform and analyze data
• Experience using advanced SQL techniques (window functions, JSON flattening and extraction, etc.) for data investigation, transformation, and analysis
• Experience with Customer Data Platforms
• Experience working with R&D, business, and operations teams in an analytics capacity, especially with SaaS product analytics like trend analysis, cohort analysis, time to value, customer journeys, etc
• Basic understanding of prediction and personalization algorithms ( e.g. purchase and churn propensity models, product recommendations)
• Familiarity with data schemas and a solid understanding of data modeling for data warehouses
• The ability to effectively collaborate cross-functionally to drive actionable and measurable results

Responsibilities

• Proactively seek out trends and create analysis frameworks to effectively answer strategic questions and translate between raw data insights and business strategy
• Be a driving influencer and teacher on the use and application of data and analysis
• Build data models in a structured data warehouse
• Develop reports, dashboards, and metrics to address business needs in partnership with RevOps and Customer Teams
• Form opinions on tools, products, and processes we should adopt to accomplish analytics needs
• Form opinions on customer needs & product priorities to improve our product
• Partner with product, engineering, and GTM teams to ensure that we are tracking the right data to fully measure product success
• Optimize how teams leverage data to make roadmap decisions and prioritizations
• Support R&D leadership with developing and leveraging dashboards that highlight engineering and development efficiency and efficacy
• Establish a repeatable executive reporting cadence on product insights and suggested actions
• Share deep analysis conclusions and sophisticated technical methods in a clear manner to both technical and non-technical audiences to aid in adoption and engagement
• Lead a cross-functional data infrastructure steering committee

Benefits

• Comprehensive benefit coverage, paid for by the company for you and your dependents (US)
• Generous paid parental leave (US)