Remote Senior Product Data Analyst

Summary

Join Wistia's Business Intelligence team as a Senior Product Data Analyst to leverage data and empower strategic decision-making across the organization. The successful candidate will combine strong technical and communication skills to surface insights from large datasets and translate those insights into clear recommendations for Product stakeholders.

Requirements

• Highly experienced in data analysis, preferably within a product or technology-driven environment
• Fluent in SQL and python for data analysis
• Skilled at constructing meaningful data visualizations
• Comfortable with the command line, git and dbt
• Experienced with A/B testing, experimentation, and data-driven optimization
• Knowledgeable about database architecture, data warehousing principles, REST APIs, event tracking frameworks
• Experienced at scoping broad, loosely-defined requests into well-structured plans
• Highly curious, with a strong attention to detail and a perspective on how your work fits into the “big picture”
• Adept at using your excellent communication skills to translate complex analyses and findings into actionable insights for stakeholders
• Able to work independently and efficiently with minimal oversight
• Familiar with SaaS metrics and business practices
• Comfortable working in agile environments and collaborating with cross-functional teams
• Passionate about data

Responsibilities

• Use SQL and python to analyze complex datasets, identifying trends, patterns, and insights to inform business-critical decisions and product development
• Design and maintain self-serve data visualizations and dashboards to provide real-time insights for stakeholders
• Perform A/B test, cohort and funnel analyses in collaboration with Product teams to optimize user experience and business outcomes
• Partner with product managers, engineers, and cross-functional stakeholders to define metrics, KPIs, and success criteria for product releases
• Meet Product stakeholders “where they live” by becoming an expert in our application data models, usage of Amplitude and internal event tracking frameworks
• Translate data insights into clear recommendations that support product strategy and feature prioritization
• Communicate your findings and recommendations to technical and non-technical audiences through easily-interpretable presentations, reports, and dashboards
• Work with data engineers to ensure data accuracy, availability, and integrity across product analytics
• Use dbt to define version-controlled, modular business logic that can be easily reused across the team
• Develop and improve data collection methods and processes to enhance the quality of product analytics

Benefits

• A competitive compensation package that includes internal equity stock options
• 401k with 3% company contribution, regardless of whether you contribute (Roth 401k available)
• Fully paid healthcare, dental, and vision insurance (family plans included)
• Pre-Tax FSA and Dependent Care Account
• Flexible working hours – work at the times when you operate best, or set aside time for child and/or elderly care responsibilities during traditional “office hours”
• 16 weeks paid parental leave for all new and expecting parents
• Flexible PTO (pretty common for people to take 4+ weeks off throughout the year)
• Remote-first culture (work from anywhere in the U.S.)
• Annual professional development stipend (courses, conferences, and more)
• New hire bonus to enhance your home office set up
• Pet insurance discount