Product Analyst

About Eightpoint

Eightpoint is an internet technology company specializing in the agile development of products and content that address real-world interests, captivating users and driving significant growth for partners. With offices in the United States and Cayman Islands, Eightpoint collaborates with partners globally on the next generation of user-centric offerings. Our growing ecosystem includes innovative products like Weather Now, a sleek app that delivers real-time forecasts with clarity and ranks among the top three most-used weather apps in the U.S.;
Check Heart Rate Now, aquick and easy wellness monitor;
and Wave Browser, a powerful and secure way to search the web. Every product we launch is designed to engage users, enhance daily life, and deliver real-world value. Backed by data and driven by a relentless commitment to quality, Eightpoint moves fast, thinks big, and builds digital experiences that people love.

About the Role

We are seeking a highly skilled Data Analyst to join our team and help drive data-informed decisions across our in-house mobile application products. This individual will play a critical role in analyzing user behavior, evaluating feature performance, and collaborating with cross-functional teams to deliver high quality data insights. This role requires a blend of creative vision, technical know-how, and exceptional organizational skills.

Key Responsibilities

Data Analysis & Insights

• Extract, clean, and analyze data using SQL and Python to understand product performance, user behavior, and business trends
• Build and maintain dashboards, reports, and KPIs to monitor product health and performance
• Provide actionable recommendations to product managers and leadership teams

Cross-Functional Collaboration

• Work closely with Product Managers, Engineering, QA's, User Acquisition, and Design teams to translate business requirements into analytical solutions
• Partner with stakeholders to identify key metrics and measure the success of product initiatives

Experimentation & Optimization

• Support A/B testing and experimentation frameworks to validate hypotheses and inform product decisions
• Analyze experiment results and recommend next steps for product improvements

Mobile App Analytics

• Leverage mobile analytics platforms to track and evaluate app usage and retention metrics
• Provide insights to optimize user journeys and improve mobile app engagement

Agile/Scrum Processes

• Participate in sprint planning, retrospectives, and daily stand-ups to align analytics work with product development priorities
• Deliver insights in iterative cycles that align with Agile methodologies

Who You Are

• Bachelor's degree in a quantitative field (e.G., Statistics, Mathematics, Computer Science, Economics, or similar)
• 3+ years of firsthand experience in management/analysis of data within a Structured Query Language (SQL) database (Preferred:
  Google BigQuery, Microsoft SQL Server, Amazon Redshift) with proven SQL and query writing skills
• Experience in Extraction, Transformation, and Loading (ETL) Data
• Experience collecting and analyzing data and reporting on the results using Excel or a statistical software package
• Demonstrated ability to extract and assimilate data from multiple sources and communicate analysis in a concise, easy-to-understand, and actionable format
• Strong proficiency in SQL and Python for data manipulation and analysis
• Proven experience analyzing and interpreting data in a mobile app environment
• Solid understanding of Agile/Scrum frameworks and working in iterative development cycles
• Ability to communicate complex findings clearly to technical and non-technical audiences
• Experience with R for statistical modeling or advanced analytics is a plus