Product Analyst

About the job

Role Overview: At Tide, we are looking for an exceptional Product Analyst to join our Experience Foundations team. This team is dedicated to enhancing our global platform's end-to-end user experiences to provide greater member value and a distinct experience. As a Product Analyst, you will collaborate with the team to create a world-class connected experience across Tide, focusing on solving critical issues for micro, small, and medium enterprises. Your role will involve making data-driven decisions, transforming user data into actionable insights, validating hypotheses, and incorporating findings into the product strategy to drive adoption and growth. Key Responsibilities: - Product Discovery: Conduct hypothesis-driven deep dives into existing product usage data to identify user pain points, quantify problems, and propose actionable solutions. - Solution Confidence: Lead product experimentation efforts by designing and analyzing tests to build confidence in planned features. - Product and Feature Performance Review: Collaborate with product teams to establish and measure KPIs reflecting the impact of new and existing features. Analyze metrics and data to provide a comprehensive view of all experience investments made. - Goals to KPI Translations: Translate user goals and outcomes into business KPIs, identifying impactful hypotheses for product success. Collaborate with product managers and analytics engineers to enable seamless KPI reporting. - Self-Serve Product Analytics: Partner with data, engineering, and data science teams to deliver a top-notch self-serve analytics platform. Optimize the experimentation stack for effective use by business and product teams. Qualifications Required: - 5+ years of experience in Product Analytics, preferably in digital or fintech products. - Strong ownership mindset with a proactive approach to impact assessment. - Ability to lead and solve ambiguous problems with minimal guidance. - Excellent communication skills to convey complex data analysis to various stakeholders. - Proactive in seeking opportunities to create business impact. - Proficiency in SQL/Python. - Skill in building relationships across the business for data-driven decision-making. - Experience in capturing stakeholder requirements and developing analytical solutions. - Self-starter mentality with a focus on identifying opportunities and overcoming challenges with data.